Running head: PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING

The Perceptions of Certified Personal Trainers on the Value of Attributional Retraining:
A Case Study

A DISSERTATION
Submitted to the Faculty of the School of Graduate Studies and Research of California
University of Pennsylvania in partial fulfillment of the requirements for the degree of Doctor of
Health Science (DHS) in Health Science and Exercise Leadership

Richard F. Richey

Research Adviser, Dr. Brian Oddi
California, Pennsylvania
2018

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PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING
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PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING
ACKNOWLEDGEMENTS

Thank you to my wife, Jennifer, for seeing the value of the education this program could
provide and supporting me from the start, knowing the sacrifice we would all have to sustain.
Well, we thought we knew. At times, it seemed much more time consuming than we were
prepared for. To Jazlyn, Xavier, and Levi – it’s OVER! I know that schoolwork took me away
from soccer games, music rehearsals, and so many more experiences. Dad is back kids (if you
remember me…). I love all of you. Thank you, mom and dad, for your support. Your full support
for the first semester was incredibly helpful and much appreciated. The ongoing support was just
as valuable and needed along the way. To my brothers Matt and Mark – you didn’t help in the
slightest, but I still love you both and want to shout you out anyway.
Thank you to my dissertation chair, Dr. Oddi, for your availability, gentle support, and
continual guidance. I wanted to answer too many things and say too much and, honestly,
complicate the process. You were an absolute harbinger of sanity. Do not be surprised if I still
call on you after this is over, though I may have exhausted any and all the time you are willing to
offer me. Thank you to committee members Dr. Ellen West and Dr. Jeffrey Hatton. You were
enjoyable to have as teachers within the program, and I appreciate your time, support, and
feedback. Dr. Hatton, thank you for your feedback prior to my enrollment. Thank you, Dr. Hess,
for pushing me during the prospectus and proposal processes. You gave more than any teacher
I’ve ever had and pushed me more in the process. Everything you provided was valuable, and I
am thankful for your contribution to my education.
Thank you to all my professors at the Cal U. Thank you to all my business partners,
professional associates, and clients for your support and encouragement.

PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING
Table of Contents

List of figures ……………………………………………………………………………….i
List of tables…………………………………………………………………………………ii
Abstract…………………………………………………………………………………….. iii
Introduction………………………………………………………………… ……………... 1
Methods……………………………………………………………………………………. 5
Research design……………………………………………………………………. 5
Subjects……………………………………………………………………………. 10
Instrumentation……………………………………………………………………. 11
Procedures…………………………………………………………………………. 15
Data analysis………………………………………………………………………. 17
Results…………………………………………………………………………….….......... 21
Trustworthiness……………………………………………………………………. 22
Demographics……………………………………………………………………… 26
Research Question 1……………………………………………………………….. 31
Research Question 2………………………………………………………………. 33
Research Question 3……………………………………………………………...... 37
Additional Findings………………………………………………………………... 41
Discussion………………………………………………………………………………….. 46
Relevance to Existing Research……………………………………………………. 46
Prioritization versus Time………………………………………………………….. 47
Workshop Scenarios………………………………………………………………. 49
Programming………………………………………………………………………. 52

PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING
Addition of the Supportive Phase………………………………………………….. 53
Conclusion…………………………………………………………………………………. 56
Future Direction for Research……………………………………………………… 56
How qualitative differs from and influences quantitative research………... 57
Benefits for CPTs to learn about AR………………………………………. 59
How AR influences motivation and adherence……………………………. 60
Call to Action………………………………………………………………………. 61
References…………………………………………………………………………………. 63
Appendix A: Literature Review……………………………………………………………. 70
Appendix B: Problem Statement……………………………………………………………109
Appendix C: Additional Methods………………………………………………………….. 111
Appendix C1 – Event …………………………………………………................... 112
Appendix C2 – Informed Consent…………………………………………………. 114
Appendix C3 – Email Request for Interview……………………………………..... 120
Appendix C4 – Pre-Workshop Interview Questions...…………………………….. 122
Appendix C5 – Workshop Presentation…………………………………………… 124
Appendix C6 – Workshop Handout……………………………………………….. 142
Appendix C7 – Email Request - Trainer Documentation …………………………. 148
Appendix C8 – Email Request – Scheduling of Observation Session……………...150
Appendix C9 – Certified Personal Trainer’s Client Consent for Observation…….. 152
Appendix C10 – Post-Observation Interview Questions………………………...... 153
References………………………………………………………………………………….. 156
Supporting Material…………………………………………………………………………166

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Author Curriculum Vitae………………………………………………………….. 167
CITI Program Certificates………………………………………………………… 178

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PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING
LIST OF FIGURES
Page
Figure 1. Word cloud of barriers to fitness-related success (BFRS). A word
cloud is being used to represent all the barriers listed by training
clients with the largest represented in larger and more centralized
text………………………………………………………………………….. 43

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List of tables
Page
Table 1

Years as a CPT……………………………………………………………

27

Table 2

Higher Education………………………………………………………….

27

Table 3

CPT Certifications………………………………………………………..

28

Table 4

Gender…………………………………………………………………….

29

Table 5

Race / Ethnicity…………………………………………………………...

29

Table 6

Location of Employment………………………………………………….

30

Table 7

Employment Type…………………………………………………………

30

Table 8

Themes for Research Question 1………………………………………….

31

Table 9

Themes for Research Question 2………………………………………….

33

Table 10

Themes for Research Question 3………………………………………….

38

Table 11

Additional Findings………………………………………………………. 41

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Abstract
Certified personal trainers (CPTs) work with many individuals that have difficulty with
the motivation to adhere to unsupervised exercise. Attributional retraining (AR) is a method
designed to redirect the client’s perceived causal attributions for failure toward controllable
factors. The purpose of this qualitative case study is to see if certified personal trainers find value
in and are willing to perform AR after being exposed to education of how to use the method to
help their clients with exercise motivation and adherence. Three research questions were
explored: (1) How do certified personal trainer perceptions of attributional retraining impact
client motivation? (2) How does attributional retraining impact the level of motivation for
personal training clients? (3) How does attributional retraining contribute to improved client
experience and adherence? Twelve (n=12) certified personal trainers (CPTs) working in New
York City volunteered and completed the study. Participants attended a four-hour workshop on
AR and contributed their insights via pre-workshop interviews, documentation, session
observations, and post-observation interviews over the course of three months. Their responses
were manually noted and then manually coded for themes. Research question one themes: (1)
CPTs admit they could do better at implementation, and (2) CPTs would have made changes if
they were to do it again. Research question two themes: (1) clients focus more on an internal
locus of control, (2) perceived client experience was highly beneficial, and (3) participants
recommend other CPTs learn and apply AR with their clients. Research question three themes:
(1) strategies implemented, (2) increased effort, and (3) successful retraining. In summary,
certified personal trainers (CPTs) perceived interventions using attributional retraining (AR) as
helpful in increasing unsupervised client exercise motivation and exercise adherence.

PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING
Keywords: attributional retraining, reattribution training, attribution theory, personal
trainer, exercise, motivation, adherence, compliance

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Introduction

Andragogy is the study of how adults learn brought to prominence as an educational
theory by researcher Malcolm Knowles (1968). Since Knowles, many theories of adult education
have become important contributors to the evidence-based andragogic landscape such as selfdetermination theory, learner-centered teaching, and attribution theory with the actionable
component termed attributional retraining (Deci and Ryan, 2000; Weimer, 1985; Wiener, 2013).
Each of these theories is designed to empower adults to overcome obstacles and develop
motivational strategies to help achieve success in educational and behavioral environments.
In fitness, there is little research identifying and supporting long-term strategies to help
people increase exercise adherence and overcome obstacles (Fjeldsoe, Neuhaus, Winkler, &
Eakin, 2011; Saida, Juul Sørensen, & Langberg, 2017). Though adult education activities and
outcomes are naturally different from adult exercise activities and the results, applying adult
educational approaches may be useful in creating a theoretical framework of evidence-based
strategies that may be implemented to motivate and encourage behavioral changes in adults that
lead to greater exercise adherence, compliance, and fitness-based results. The primary approach
taken from education and andragogy research and applied to fitness will be Bernard Weiner’s
attributional theory of motivation and attributional retraining.
Weiner’s attribution theory states that people ascribe reasons for why they or others
succeed or fail at a particular event or endeavor (Weiner, 1985). According to Wiener, the
perceived causes of success or failure share three common properties: locus, controllability, and
stability. Locus of control is whether the motivational drive is internal or external. An internal
locus of control establishes the cause of effort residing within the person such as interest, liking,

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or desire to perform a specific task. The internal locus for an exerciser may be because the
individual likes how exercise makes them feel. External locus of control comes from outside
influences and may be a goal provided by an external agent that another individual may attempt
to achieve. An external locus for exercise may be because a person’s spouse thinks that they
need to exercise to lose bodyweight.
Controllability describes outcomes that are controllable or uncontrollable by an
individual. If obesity is due to genetics solely, exercise alone might not be effective for losing
bodyweight since genetics are uncontrollable. However, since obesity can be affected by
increased physical activity and a healthy diet, the outcome is controllable, and change can occur.
Stability differentiates between the cause that changes over time (unstable) and those that do not
(stable). For instance, a mother indicates that she has limited time to exercise because she has a
young child at home. However, as the child grows up, more time to exercise may be available to
the mother indicating that the cause of limited exercise was an unstable event that changed over
time.
Attributional retraining (AR) is designed to restructure causal explanations of poor
performance by encouraging controllable attributions such as effort and strategy in place of
immutable causes such as ability or intelligence (Haynes Stewart et al., 2011). Research has
shown AR’s effectiveness in modifying causal attributions (Haynes et al., 2006), increased
perceived control (Haynes et al., 2006), improved motivation among university students (Haynes
et al., 2008) and increased likelihood of passing university courses (Haynes Stewart et al., 2011;
Hamm, Perry, Clifton, Chipperfield, & Boese, 2014).
Hamm et al. (2014) used attributional retraining for group categorized first-year
university students as achievement-oriented, failure-acceptors (low control, low failure

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preoccupation) and failure-ruminators (low control, high failure preoccupation). The results
showed that all students benefited from AR, but it was most beneficial those that accepted
failure. Failure-acceptors that received AR developed higher intrinsic motivation, higher grade
point averages, and fewer course withdrawals than those without AR. Students who ruminated
on their failures and felt out of control (failure-ruminators) received no advantage regarding their
achievement, yet these students benefitted from AR to the extent that they altered their
dysfunctional emotional profile.
Teachers have found positive empirical outcomes with students’ success using AR.
Certified personal trainers might be able to provide similar results in motivation, adherence, and
compliance when it comes to applying AR with their clientele in the fitness environment.
Commonly reported barriers to fitness-related success (BFRS) include lack of time, focus on
other priorities, lack of energy, health issues, bad mood, the weather, the daily routine provides
enough of a workout, no exercise partner, and lack of knowledge (Louw, Biljon, & Mugandani,
2012; Dishman, Jackson, & Bray, 2014). It is likely that AR can alter the causal ascriptions of
obstacles and BFRS and allow for a change in effort and strategy to obtain positive outcomes.
AR has been successfully used with older adults to show that age should not be the
ascribed cause of sedentary lifestyles or lack of movement and exercise. Quantitative data
recorded that the means steps per week increased significantly from 24,749 to 30,707, a 24%
increase – equivaltent to 2.5 miles (2-sided t-test p=.002). The qualitative results quantified via
Expectations Regarding Aging (ERA)-38 survey showed that participants experienced an
improved mental health–related quality of life (p =.049) and reported less difficulty with
activities of daily living (p =.04). More than 50% of participants reported improvements in pain,
energy level, and sleep quality (Sarkisian, Prohaska, Davis, & Weiner, 2007). Older adults also

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reported higher levels of exercise motivation, life satisfaction, as well as increased functional
status relative to controls.
Nickel and Spink (2010) conducted two studies to examine associations among past
activity behavior, attributions, and self-regulatory efficacy for maintaining physical activity
sufficient for health benefits. AR was implemented in three phases. First, the causal search
activation asked students to attribute causes for achievement failure. Second, the attributional
induction stage had students watch a short video of two students discussing ways they could
increase academic performance, followed by a professor summarizing the video and reiterating
the focus of controllable causal explanations. Third, the consolidation phase focuses on
processing the AR content by writing a summary of the video, provide their attributions as to
why the students in the video did poorly, and then more deeply processing the information by
applying the main points of the video to their own lives. The main finding concerned the detail
that specific attributional dimensions significantly improved the prediction of self-regulatory
efficacy over and above past behavior. AR was beneficial to all students but was particularly
advantageous to students who performance orientation identified them as most vulnerable.
Attribution theory and attributional retraining has transcended the field of education, and
has been used in social, psychological, and behavioral sciences, as well as in exercise (Louw,
Biljon, & Mugandani, 2012; Dishman, Jackson, & Bray, 2014; Sarkisian, Prohaska, Davis, &
Weiner, 2007; Weinberg, Hall, & Sverdlik, 2015; Haynes Stewart et al., 2011). The purpose of
this study is to see if certified personal trainers find value in and are willing to perform AR after
being exposed to education of how to use the method to help their clients with exercise
motivation and adherence.

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Methods

The aim of this qualitative case study is to gain understanding about perceptions certified
personal trainers (CPTs) have regarding the value and effectiveness that attributional retraining
(AR) can have on client motivation and exercise adherence. Several studies have used qualitative
research to develop insights about the effects of AR and fitness. However, limited studies have
used CPTs as subjects. If CPTs perceive value in AR as a beneficial motivator to overcome
barriers to fitness-related success (BFRS) and help to increase exercise adherence, it may lead to
further qualitative and quantitative research and possibly integration into CPT educational
programming. The following section will review the research design, subjects, instrumentation,
procedures, and the analysis of data.

Research Design
This case study will employ a descriptive qualitative case-study design to study the effects
of attributional retraining (AR) on CPTs perception of client motivation and exercise adherence.
The single case study will consist of nationally accredited certified personal trainers (CPTs) that
are currently working in the fitness industry within the same geographical location. The
summation of similar characteristics allows for the assumption that the chosen case is considered
a reflection of a larger population (Elman, Gerring, & Mahoney, 2016). The descriptive case
study was chosen to allow CPT’s to describe perceptions of AR in the real-life context in which
it occurred. This single case study represents a group of CPTs that were willing to apply this
retraining to see if it would help their clients increase intrinsic motivation and adherence to
exercise. They then described in detail their real-life experience. Additionally, the qualitative

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inquiry can help determine if the topic is worthy of further investigation by identifying what
questions and data might be the most relevant to the general topic of AR.
According to Bloomberg (2016), “Qualitative research is suited to promoting a deep
understanding of a social setting or activity as viewed from the perspective of the research
participants… (which) implies an emphasis on exploration, discovery, and description” (p. 38).
This research seeks to compare themes, perceptions, and description of experiences rather than
numbers, arithmetical correlations and statistical analysis. Randomized controlled trials (RTCs)
are limited in their ability to explain the “how” or “why” a given intervention worked or did not
work, so case studies are helpful to better and more fully explore the “how” or “why” (Shavelson
& Towne, 2002). In this study CPTs explain their experiences, how they interacted with their
clients, if they found value in the topic and its implementation.
A case study is a method of qualitative research that is exploratory in nature that requires
comprehensive interaction with study participants to provide a profound picture of the topic
(Bloomberg, 2016). Case studies involve the study of cases within a real-life and real-time
context or setting (Yin, 2014). Case studies are also extensive and open to a myriad of
interpretations and methods of collecting data (Bloomberg, 2016). Creswell (2018) defines case
study research as
“a qualitative approach in which the investigator explores a real-life, contemporary
bounded system (a case) or multiple bounded systems (cases) over time, through detailed,
in-depth data collection involving multiple sources of information (e.g., observations,
interviews, audiovisual material, and documents and reports), and reports a case
description and case themes” (p. 96-97).

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This qualitative case study will employ the following means of data collection: preworkshop interviews, workshop feedback, documentation, session observations, and postobservation interviews. The integration of multiple data sources allows for an in-depth
understanding of the case, which is the hallmark of a good qualitative case study (Creswell,
2018).
Interviews were used to engage the participants with open-ended questions that allowed
for discussion, interaction, and further inquiry. Participants were interviewed via phone or video
chat to determine CPT’s perceptions of AR in regard to motivation and exercise adherence.
Subjects were allowed and encouraged to expand on their answers and provide detail about their
experience. Interviews were performed prior to the intervention workshop and again three
months later at the end of the research. These interviews took place via phone call or video chat.
The workshop asked for specific feedback from the group on topics vital to attributional
retraining. This is only time participants could engage with each other to share and cultivate
ideas together. In the workshop, participants discussed common perceived BFRS, strategies to
help increase exercise motivation and adherence, and they developed scenarios to be used in
their own AR practice with clients. After the workshop, CPT documentation such as a mission
statement, training philosophy, or website was requested. This data allows for another dimension
of understanding the participants opinions and perceptions about personal training and working
with clients that added a dimension of richness to the content. Following documentation, the
researcher scheduled and observed a 15-minute session of the CPT perform AR with their client.
The observation allowed for the researcher to witness how AR was being implemented and better
understand the perception of AR from both the CPT and their client. Member checking was
performed to ensure the information written down was correct and agreed upon.

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“In a case study, triangulation is critical in attempting to obtain an in-depth understanding
of the phenomenon under study and adds rigor, breadth, and depth to the study and provides
corroborative evidence of the data obtained” (Bloomberg, 2016, p. 46). This research study was
able to corroborate evidence from multiple methods of data collection that provided large
amounts of information about differing topics allowing a full and rich story to develop.
According to Creswell (2018), “When qualitative researchers locate evidence to document a
code or theme in different sources of data, they are triangulating information and providing
validity to their findings” (p. 259). Triangulation is a means to reach saturation.
Saturation is the point at which no new themes emerge allowing the researcher to identify
common trends. Once the topics were saturated, certain codes, keywords, and concepts emerged
from the differing streams of data. Coding was performed manually. Several interview questions
in the interview process allow for numerous ways to receive responses needed for the research
questions. Therefore, keywords were straightforwardly coded as saturation grew. As the
participants were encouraged to expand their thoughts, many responses connected, associated,
and built into themes. These themes were listed under each research question with a high
percentage of agreement among participants. Themes showcase the leading perceptions CPTs
had after learning about attribution theory and implementing AR regarding exercise motivation
and exercise adherence.
Limitations. Of concern in all studies are the researcher’s inherent and developed biases.
In qualitative research the researcher is the instrument measuring and assess the data, so bias is
always, at least to some degree, inescapable. According to Yin (2014), “researchers are
especially prone to this problem because they must understand the issues beforehand, and this
understanding may undesirably sway them toward supportive evidence and away from contrary

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evidence” (p. 76). Rossman and Rallis (2012) state that “inquiry is shaped by our personal
interests and interpreted through our values and politics” (p. 117). The researcher’s experiences
in the field as a CPT, interpersonal judgements about how clients should behave and how CPTs
should perform, expectancies that this topic will be helpful for other CPTs, and an unintentional
desire to leave out contrary feedback is possible, though not desired by the researcher.
A limitation important to point out is that the researcher is an educator and gym owner
and all participants came from within the researcher’s student, patron, and social networks. It is
possible that some feedback was skewed to give the researcher “what they would want to hear”
rather than unfiltered feedback that may be provided to a stranger.
Delimitations. Credibility needs to be established to increase “truth-value” (Korstjens &
Moser, 2018). The criterion for credibility “refers to whether the participants’ perceptions match
up with the researcher’s portrayal of them” (Bloomberg, 2016, p. 162). Through member
checking, the researcher solicits participants’ views of the credibility of the findings and
interpretations (Bazeley, 2013; Glesne, 2016; Lincoln & Guba, 1985; Merriam & Tisdell, 2015).
In this study, each participant was read back the words that the researcher wrote down as their
quotes. The participants were then given the opportunity to reword, change, delete, or confirm
the verbiage and content. This helps to minimize researcher bias.
Delimitations regarding complimentary and agreeable feedback from those familiar with
the researcher was addressed by the researcher stating desire for honest feedback rather than
“what you think I want to hear.” Many participants stated that they did not have an issue with
expressing their truth. However, some felt more at ease with hearing that the only right answer
was their true perception and they stopped trying to find the “right” answer and were able to
more comfortably provide their honest feedback. IRB approval was obtained prior to data

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collection and participation and the researcher is their best to maintain the integrity of the study
as well as the safety and comfort of the participants. As stated by Yin (2014), the researcher in
this study endeavored to preserve a “strong professional competence that includes keeping up
with related research, ensuring accuracy, striving for credibility, and understanding and
divulging the needed methodological qualifiers and limitations to one’s work” (p. 77).

Subjects
The participants recruited were certified personal trainers (CPT) that hold a current
National Commission of Certifying Agencies (NCCA) accredited personal training certification,
live in the New York City area, and are currently working in the fitness industry as a CPT. These
characteristics provide purposeful sampling that allows a transferability to those that are in
similar context and setting (Bloomberg, 2016). CPTs were enlisted as volunteers to participate in
a four-hour workshop on AT and AR by an event brochure (Appendix C1) distributed via fitness
facility newsletter, social media (SM), email, and/or handout at their place of employment.
Attending subjects were 18 plus years of age with a variety of ethnic backgrounds, work
experience, education.
Inclusion criteria required all participants to speak English, signed an informed consent
form (Appendix C2), and be willing to participate in the interview, observation, and
documentation process. No further exclusion criteria were used aside from attending the
workshop late. The qualitative inquiry is tasked with achieving saturation – the point at which no
new themes emerge allowing the researcher to identify common trends. Morse (2015) stated
saturation is the most commonly publicized guarantee of qualitative rigor offered by authors.
Guest, Bunce, and Johnson (insert year here) stated that saturation occurs when there is no new

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data, no new themes, no new coding, and there is enough information provided to replicate the
study, which can be found in a few as six interviews depending on sample size. However, Tracy
(2010) suggested a minimum of eight participants to obtain saturation. The triangulation of data
from multiple sources to further enhance the reliability of saturation results (Stavros & Westberg,
2009; Bekhet & Zauszniewski, 2012).

Instrumentation
The purpose of this qualitative case study was to understand the perceptions CPTs have
regarding attributional retraining (AR) as an intervention to help increase exercise motivation
and adherence. These perceptions were measured via pre-workshop interviews (Appendix C4),
trainer documentation, trainer/client observations, and post-intervention and post-observation
interviews (Appendix C8). “By developing convergent evidence, data triangulation helps to
strengthen the construct validity of your case study” (Yin, 2014, p. 121). This would commonly
be considered a source of credibility in qualitative research. With rich and descriptive
triangulation, saturation is more likely to be obtained (Fusch & Ness, 2015). The following
instruments will allow for “rich” and “descriptive” feedback from the participants by
encouraging them to speak freely about their experiences and perceptions.
Pre-Workshop Testing. The data collection instrument prior to the implementation of the
AR workshop (intervention) will be interviews (Appendix C4). These interviews were completed
over the phone one week before the intervention workshop using 10 questions that seek CPT’s
perceptions of client motivation, adherence, and to what they attribute these answers. The
informed consent detailed the interview protocol, a brief description of the study, an explanation
of what will be required of the participants, and an assurance of confidentiality (Appendix C2).

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Intervention. A four-hour workshop discussing Weiner’s attribution theory (AT) and
attributional retraining (AR) was provided with PowerPoint or Keynote presentation used as a
supplemental visual aid (Appendix C5). The outline of the presentation was provided to
participants via email to follow and for note taking purposes (Appendix C5). A foundational
understanding of AT will consist outcomes (failure or success), causes (ability, effort, task
difficulty, luck, and possibly others), causal dimensions (locus, stability, and controllability),
causal consequences (pride, self-esteem, and expectancy) and finally action (choice, intensity,
and persistence) (Weiner, 2010). Feedback from attendees during the workshop was used as part
of the interventions used with their clients during the application or AR. Supporting content,
including a PDF of the intervention presentation and stories of attribution theory that study
participants provide as examples, were provided to all participating certified personal trainers
(CPTs) following the intervention.
Post-Intervention Testing. Three months post-workshop, the CPTs that participated in the
interviews were contacted via email (Appendix C7) and asked to schedule a time for the
researcher to observe an attributional retraining (AR) session with their client as well as a
follow-up interview. The follow-up interview (Appendix C8) discussed the concepts of AR, how
the CPTs have applied them to their clientele, how their clients responded, and seek to
understand how they implement AR concepts into their training. Several questions were
designed to answer questions regarding Weiner’s (2010) causal dimensions of attributions
including locus, stability, and controllability. Locus refers to either internal or external
motivation. Stability has to do with whether the situation will change over time or if it is
constant. Controllability refers to the clients’ ability to have control over the outcome. Interviews
lasted approximately 30-45 minutes.

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Trainer documentation was requested from each participant via email (Appendix C6)
regarding how they identify their style of training, what they consider to be their responsibilities
as a CPT, and how they go about performing such responsibilities. Documentation included
website URLs, mission statements, and training philosophies. This record of training purpose
and concepts helped provide further information about trainer and client motivation, adherence,
and perception.
The data was collected through using these multiple instruments. Both the pre-workshop
interviews and the post-observation interviews provided the richest content as it allowed
conversation to flow between the researcher and the participants. The open-endedness of the
questions and the freedom to discuss what came up in conversation added depth and detail to the
study. The observations allowed the researcher to witness how AR was being implemented while
also hearing the client’s responses and perceptions of the retraining as well. Documentation
provided greater detail and insight in the CPT’s perceptions and allowed the researcher learn
more about the participants prior to being informed about AR. This documentation was not
influenced by the intervention, so differences and similarities were detectable between their preand post- AR education.
The multiple sources of evidence from which the convergent lines of inquiry were drawn
strengthened credibility via triangulation. Triangulation supports saturation and provides rigor
and credibility to the study. Another support to credibility was member checking which
happened during follow-up communications. During member checking the participants reviewed
the words the researcher wrote, confirmed what was written was familiar and accurate, and were
allowed to make any desired changes to their statements.

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For trustworthiness in qualitative research to be provided, credibility and dependability
must be developed. Credibility in qualitative research can be operationalized using techniques of
prolonged engagement, triangulation of data sources, and methods (Creswell, 2018). In this case,
triangulation consisted of pattern matching of mutual themes that appeared during the discussion
of motivation and adherence, as well as commonly stated barriers to fitness-related success
(BFRS). From this data, an explanation of perceptions was developed. Rival accounts should
also be proposed and considered. Unique and dissonant opinions emerged by members within
this group, which add credibility to the study as well as highlight the significance of harmonious
outcomes. Attributional retraining existing research exist to establish credibility as well as
ancillary topics important to AR. For instance, one of the pre-workshop interview questions
asked certified personal trainers to identify perceived BFRS for their clients. Responses to
similar questions can be viewed in existing research detailing BFRS to increase study credibility
and are discussed in the research review. Transferability is an important element as additional
external relationships have been identified between AT and AR in the research design phase
leading to the development of the research questions.
According to Korstjens and Moser (2018), “dependability is whether the analysis process
is in line with the accepted standards for a particular design” (p. 122). This study followed a
clear roadmap of the methods, implementation, note taking of emergent findings, and participant
communication to provide “detailed and thorough explanations of how the data were collected
and analyzed, providing what is known as an ‘audit trail’” (Bloomberg, 2016, p. 163).
Confirmability looks to confirm that the results are not preferences and viewpoints, but grounded
in the data (Korstjens & Moser, 2018). The goal is to minimize the errors and biases in a study so
that later investigators arrive at the same findings and conclusions (Yin, 2014).

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Procedures
Pre-Workshop. After the study was approved by the California University of
Pennsylvania IRB, recruitment of participants began. A digital brochure (Appendix C1) was sent
out via an email list of personal trainers, social media, and strategic placement in the NYC area.
Once registration was filled, volunteers were asked to take part in the study with the goal to have
a minimum selection of 12 participants. An informed consent was delivered via email (Appendix
C2). Once informed consent was reviewed, signed, and returned via email, a subsequent email
(Appendix C3) was sent to the subjects to schedule baseline testing, which was a pre-workshop
interview lasting approximately 30-45 minutes and included ten open-ended questions
(Appendix C4). CPTs were encouraged to share their experiences, knowledge, and the option to
explore the topic in-depth. The interviews were scheduled and completed in a one-week period
prior to the workshop so that a sufficient number of interviews could be completed without too
many last-minute interviews the week of the workshop.
Intervention. This qualitative case study included a four-hour workshop on attribution
theory and attributional retraining presented via PowerPoint (Appendix C5). Participants were
also offered a handout to fill out during the workshop and to take home for review (Appendix
C6). Attribution theory discussed a series of vital topics including (1) outcomes (success or
failure), (2) causes (task difficulty, effort, task difficulty, other), (3) causal dimensions (locus,
stability, controllability), (4) causal consequences (pride, self-esteem, expectancy/hope, other),
and (5) action (choice, intensity, persistence, other). Attributional retraining instruction consisted
of four-phases including the causal search activation phase, the attributional induction phase, the
consolidation phase, and the addition of the supportive phase as listed in addition methods
(Appendix C5).

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Post-Intervention. Approximately three months after the workshop, an email was sent
(Appendix C7) requesting trainer documentation from each participant about how they identify
their style of training, what they consider to be their responsibilities as a CPT, and how they go
about performing such duties. Requested documentation included website URL, mission
statement, and training philosophies. This record of training purpose and concept helped provide
further information about CPTs perceptions of client motivation and adherence.
CPTs were expected to practice applying AR during the three months between the
intervention workshop and the observation of their application of AR as much as they felt was
applicable. Observations of the CPTs engaging in attributional retraining with their clients was
scheduled for three months after the workshop. An email was sent for the purpose of scheduling
CPT/client observation (C8). An additional email was sent to the participants to forward to their
client letting their training clients know that the session will be observed and requesting their
approval (C9). The attributional retraining session observed lasted approximately 15 minutes.
After the observation, the researcher performed a follow-up phone interview with the
CPT. Each interview lasted roughly 30-45 minutes and was scheduled within one week of the
observation if not immediately after. Specific interview questions (Appendix C10) were posed,
with allowances made for an open-ended exploration of topics and feedback from CPT’s about
their experiences after implementing AR. Interviews were performed to note if the CPTs
perceived AR as a valuable tool in motivating clients toward increased exercise adherence.
Examples were requested of how they applied AR with their clients that lead them to their
ultimate perceptions about the outcomes of the intervention. It is the interviewees’ perceptions,
in this case the CPTs, and their own senses of meaning that the research seeks to understand
(Merton, Fiske, & Kendall, 1990). Within one week of data being collected from the post-

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intervention interviews from all participants, the researcher began member checking. Phone calls
were made to allow participants to review how their statements were noted and provided the
option to add, remove, or alter the content in any way they felt best conveyed their perceptions.

Data Analysis
The aim of this qualitative case study was to gain understanding about perceptions
certified personal trainers (CPTs) have regarding the value and effectiveness that attributional
retraining (AR) can have on client motivation and exercise adherence. The analysis of case study
evidence is one of the least developed aspects of case study research (Yin, 2014). Data analysis
starts with the plan to collect and organize a large volume of data and then to reduce it in a
meaningful way (Bloomberg, 2016). Once these systems are implemented, the researcher must
search for patterns, insights, or concepts that seem promising in addition to finding ambiguities
and inconsistencies (Yin, 2014; Bloomberg, 2016). Raw data are assigned codes. This coding
was performed manually.
The analysis for this research consisted of several components of data collection and
processing which helped the researcher identify emerging themes that surround CPTs
perceptions of attributional retraining (AR). This data came from pre-workshop interviews, postintervention interviews, CPT documentation, and session observations. According to Kvale and
Brinkman (2009), there are six stages of interviewing which include creation of themes: (1)
designing the study, (2) interviewing the participants and (3) transcribing the interviews,
followed by (4) analyzing, (5) verifying, and (6) reporting the data. The interview questions were
the same for every participant, and each participant was interviewed by phone twice (pre- and
post- intervention) to increase consistency. The interview questions directly aligned with the

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research questions to gain clear and specific participant feedback targeting perceptions of AR by
CPTs. Detailed notes were taken during each interview session that were checked for consistency
and reviewed by participants for reliability.
Observations of CPTs providing an attributional retraining (AR) session occurred at the
CPT’s place of work. The researcher observed the CPT providing an AR intervention in their
natural setting and noted the intervention techniques, language, and how the CPT interacted with
the client to help solve problems (Hurley, Denegar, & Hertel, 2011). Detailed notes were taken
and coded for emerging themes and cross-over between instruments.
Before the aggregation of all content to identify various themes and story development,
the researcher hosted a follow-up phone call with the interviewees to perform member checking.
The participants’ pre-post intervention interview answers were read to them to check for
omissions or misstatements and provide corrections or additions. Member checking increases
validity, reliability, and accuracy of the research (Houghton, Casey, Shaw, & Murphy, 2013).
Once the data has been checked, Creswell (2018) suggests reading through the completed
data source content and make margin notes on emergent themes, form initial codes, and then
describe the case and its contexts. Creswell (2018) then recommends using a categorical
aggregation of all the data collection instruments (pre-post intervention interviews, observations,
and documentation) to establish themes or patterns through means of manual coding. The first
broad analysis of the data is called open coding (Bloomberg, 2016; Creswell, 2018). Open
coding will review all information provided throughout the interviews, documentation, and
observations and seek to provide triangulation by corroborating the same findings and
discovering converging lines of inquiry to help strengthen “construct validity of your case study”
(Yin, 2014, p. 121). Validity in qualitative research is often referred to as credibility (Hurley,

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Denegar, & Hertel, 2011). Therefore, credibility in terms of the correctness of the research
findings are assisted through triangulation of multiple data streams. Triangulation of data from
multiple sources serves to further enhance the reliability of saturation results (Stavros &
Westberg, 2009; Bekhet & Zauszniewski, 2012). Open coding will allow the introduction of
several themes to emerge by looking at how often a word, topic, or concept appears within the
various instruments.
Open coding will lead to a second analysis called axial coding which will identify one of
the categories to surface as the “core phenomenon” or main theme (Bloomberg, 2016). The core
phenomenon will emerge based on the aggregation of open codes to see which topic within the
context of the case study is most often revealed. Once the core phenomenon, or main theme,
emerges a story can then be explicated from the interconnection of the categories through the
third part of data analysis called selective coding (Bloomberg, 2016). Constant comparisons of
the data in efforts to find similarities and differences will continually take place during the data
analysis process.
Coding and categorizing involve the “constant comparison” method that continues
throughout the study (Bloomberg, 2016). This method involves systematically comparing
sections of text and noting similarities and differences between these sections. Through the
emergence of major categories, a theory can evolve. Case study research involves a detailed
description of the setting or individuals, followed by analysis of the data for themes, patterns, or
issues (Stake, 1995).
Key words were coded from participant feedback about barriers to fitness-related success
(BFRS). Recurring codes regarding BFRS were compiled and reviewed based on number of
times they emerged, context, and ideas or synonyms that fit into an existing code. Several words

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repeated throughout multiple data sources. Saturation was obtained once no new patterns
emerged from the data. As a visual representation of the data collected, a world cloud was used
to easily identify key words within a theme. A word cloud (wordclouds.com) is a visual
representation of text data with key words in different text sizes and colors emerging from the
center of the cloud. The core phenomenon will be centered in the largest font. The supporting
theme and common words pulled from the initial open coding surround the core phenomenon’s
word in smaller font. These were not solely based on a quantitative metric such as number of
times a word is appears in the notes since differing and similar terms were used to mean the same
or similar ideas. These ideas and themes were assimilated and added to the word cloud.
Themes emerged from codes. Codes were used across multiple data points which
included pre-workshop interviews, workshop interactions, retrieval of trainer documentation,
trainer observations, and follow-up post-intervention interviews. This triangulation of data
allowed for saturation. Coding was performed manually by identification of emergent and
recurring concepts. The codes that were persisted and repeated throughout multiple lines of
inquiry with the majority of participants presented as a core phenomenon, or theme. Multiple
themes emerged for each research question.

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Results

The aim of this qualitative case study was to gain understanding about perceptions
certified personal trainers (CPTs) have regarding the value and effectiveness that attributional
retraining (AR) can have on client motivation and exercise adherence. Feedback was received
from CPTs on their perceived value of AR’s applications and implications regarding motivation
and adherence-based outcomes in their fitness clients. Results of this research will provide
answers for the following research questions:
1. How do certified personal trainer perceptions of attributional retraining impact client
motivation?
2. How does attributional retraining impact the level of motivation for personal training
clients?
3. How does attributional retraining contribute to improved client experience and
adherence?
Multiple themes emerged for each question. Additional themes arose and are discussed in detail.
These additional themes did not emerge in a direct response to the research questions, but they
serve to further the exploration of attributional retraining and how these question lead to answers
and outcomes beyond what was excepted.
A four-hour workshop provided education on attribution theory (AT), and AR was
provided to participants to familiarize them with the concepts. The workshop served as the
intervention and provide the strategies that the participants would later provide to their clients.
Breakout sessions were employed to help the CPTs innovate applications of AR to their personal
training clients. An inductive process using pre-workshop interviews, workshop interactions,

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22

retrieval of trainer documentation, trainer observations, and follow-up post-intervention
interviews were used as instruments of data collection. An aggregation of feedback was used to
answer three specific research questions about the perceived efficacy regarding CPT’s perception
of AR. Feedback was coded, and through saturation via manual coding, themes emerged. These
themes offer rich insights into the experience of these CPTs and their interaction with training
clients as they implemented this new strategy to see if they perceived increased client motivation
and adherence during unsupervised exercise. It is through the vivid and varied descriptions the
perceptions of the participants can be understood and experienced through their story. As stated
by Leung (2015),
While human emotions and perspectives from both subjects and researchers are
considered undesirable biases confounding results in quantitative research, the same
elements are considered essential and inevitable, if not treasurable, in qualitative research
as they invariably add extra dimensions and colors to enrich the corpus of findings” (p.
324).

Trustworthiness of the Data
For trustworthiness in qualitative research to be provided, credibility and dependability
must be developed. The Lincoln and Guba (1985) criteria, still popular today in qualitative
research, use the terms credibility, authenticity, transferability, and dependability (and
confirmability) as “the naturalist’s equivalents” for internal validation, external validation,
reliability, and objectivity (p. 300). Though qualitative researchers like Yin (2014) prefer to keep
the language consistent from quantitative to qualitative.

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Credibility. Credibility is the believability of the study based on the richness of data
collected and the accuracy of the findings. This can be done initially through process of
“identifying correct operational measures for the concepts being studied” (Yin, 2014, p. 46). The
intentional formation of research questions and the development of specific means to find
answers to the research questions increases credibility. These research question support the
purpose of the study. Credibility in qualitative research can be operationalized using techniques
of prolonged engagement, triangulation of data sources, and methods (Creswell, 2018). Multiple
data sources were used as well as a chain of evidence and an audit trail. With the combination of
pre-workshop questions, workshop feedback, trainer documentation, session observations, and
post-intervention interviews, the responses were able to be compared from multiple data sources
to find converging lines of inquiry and feedback. This method of data collection provided
triangulation of multiple and differing data sources aimed at corroborating the same finding
which helps to help strengthen construct validity (Yin, 2014) and to “build the picture” of the
topic being studied (Rossman & Rallis, 2012, p. 65). Triangulation of data sources is also a way
for researchers to provide credibility (Creswell, 2018).
Credibility was also provided through member checking which was considered by
Lincoln and Guba (1985) to be “the most critical technique for establishing credibility” (p. 314).
Member checking was performed with the participants before any content was written to review
the words the written during the interview process to confirm what was written was familiar and
accurate. Opportunities to object, change, restate, or clarify were provided during member
checking. Some changes that were made led to additional and valuable information that was read
back to the participants and checked again for accuracy.

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According to Yin (2014), the concern of explanatory case studies, is to provide credibility
during the data analysis phase by pattern matching, explanation building, reports on rival
explanations, and using logic models. In this case, pattern matching may consist of mutual
themes that appear during the discussion of motivation and adherence, as well as commonly
stated barriers to fitness-related success. Once a meticulous means of receiving qualitative
feedback were implemented, the search for patterns, insights, or concepts that seem promising in
addition to finding ambiguities and inconsistencies were performed (Yin, 2014; Bloomberg,
2016). The qualitative inquiry is tasked with achieving saturation – the point at which no new
themes emerge allowing the researcher to identify common trends. Morse (2015) stated
saturation is the most commonly publicized guarantee of qualitative rigor offered by authors.
Guest, Bunce, and Johnson (2006) stated saturation is the gold standard in determining sample
sizes in health science research. The triangulation of data from multiple sources to further
enhance the reliability of saturation results (Stavros & Westberg, 2009; Bekhet & Zauszniewski,
2012).
Manual coding was used to identify significant categories of information. These
categories merged throughout differing lines of inquiry followed by paring these open codes into
selective codes called themes. Several themes emerged from each research question through
means of manual coding as well as additional themes that did not answer the research questions.
These additional insights provided integral feedback about the processes the participants found
important. The codes provided a construct of identifying participant feedback and themes
emerged once these codes were saturated across multiple lines of inquiry. If significant codes
were not achieved, but exciting topics arose, these were added into additional finding. There are
shared characteristics between the outcomes of this research and other research performed on

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AR. To add to credibility, the researcher also presented negative instances where participants
understood the AR differently, or they presented the intervention differently than the researcher’s
intended and provided feedback that did not paint a perfect picture of the intervention. The
quality of the methods, including tools, procedures, and specific techniques, are important to
credibility (Bloomberg, 2016). All methods were reviewed by the researcher’s dissertation
committee and deemed acceptable.
Dependability and Confirmability. Dependability (consistency) and confirmability
(neutrality) are provided by the audit trail. According to Korstjens and Moser (2018),
dependability is “whether the analysis process is in line with the accepted standards for a
particular design” (p. 122). Bloomberg (2016) states, dependability is the provision of “detailed
and thorough explanations of how the data were collected and analyzed, providing what is
known as an ‘audit trail.’” (p. 163). Confirmability looks to confirm that the results are not
preferences and viewpoints, but grounded in the data (Korstjens & Moser, 2018). The audit trail
supports both dependability and confirmability. Appendix C provides a detailed approach for
audit and reproducibility. An audit of the process was also reviewed by a dissertation committee
and found to be sufficient. Dependability and confirmability delivered by providing all materials
involving the presentation of AR as well as communication with participants under Appendix C
to allow for future researchers to create an external audit or recreate the research study. These
steps were reviewed externally by the researcher's dissertation chair and committee during the
research proposal and before beginning the research process.

Transferability. Transferability is another important part of trustworthiness. The readers
can make decisions regarding transferability through the detailed descriptions of the participants,

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the setting under study, and the rich descriptions the participants provide through the researcher
(Erlandson et al., 1993; Lincoln & Guba, 1985; Merriam & Tisdell, 2015). If the research study
can provide a “rich description” the readers can decide for themselves if it is transferable to their
own settings (Korstjens & Moser, 2018). Transferability was also performed during the literature
where results found can be compared to existing research on attributional retraining, attribution
theory, exercise motivation and adherence, and BFRS. Though this case study relates to other
studies performed in the literature review, differences can be found including demographics,
setting, and populations that may find the outcomes valuable and transferable to their situtation.
According to Merriam (1998), “development of a theory of the processes operating in the case
studied, one that may well operate in other cases, but that may produce different outcomes in
different circumstances” (p. 138).

Demographic Characteristics
A total of 16 certified personal trainers (CPTs) agreed to participant in the study, but four
dropped out due to the inability to complete one or more of the necessary components of the data
collection leaving the total number of participants that completed the study as 12 (n = 12). These
12 participants completed all aspects of the study by providing significant feedback and insight
on the research topic. All subjects signed the informed consent for participation. Ethical approval
for human participants was approved by the California University of Pennsylvania institutional
review board (IRB). Participants varied in years of personal training experience (see Table 1).

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Table 1
Years as a CPT
Characteristic
Mean

Years
8.7

Median

9

Mode

13

Range

15.5

Note. N=12.

Some participants received formal education and earned degrees in exercise science or
exercise related fields. Others attended school for a topic-related in psychology. Those that
earned degrees in a psychology related fields were the only participants who had heard of either
AT or AR according to the pre-workshop interview. Degrees in non-topic related fields were not
noted. See Table 2.

Table 2
Higher Education
Characteristic

Frequency

Percent

Exercise related undergraduate degree

3

25

Exercise related graduate degree

1

8

Psychology related undergraduate degree

2

17

No exercise or topic related degree

6

50

Note. N = 12.

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Personal trainer certifications were a requirement for each participant to have. Multiple
certifications were represented. Certifications from the National Academy of Sports Medicine
(NASM) topped the list, but this may be because the research only provided continuing

education units (CEUs) for those certified through NASM to encourage greater attendance. See
Table 3 for a list of certifications held by CPT participants.

Table 3
CPT Certifications
Characteristic

Frequency

Percent

NASM

7

58

NSCA-CSCS

2

17

NASM & NSCA-CSCS

1

8

ACE

1

8

PTA Global

1

8

Note. N = 12.

A co-ed group of subjects participated in the study. The expectation of gender split was
intended to be 50 / 50. However, males were over-represented in the research. The numbers
would have been more representative of the overall training population, but each of the four
participants that could not see the study through to the end were female. See Table 4.

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Table 4
Gender
Characteristic

Frequency

Percent

Female

2

17

Male

10

83

Note. N = 12.

There was a broad age range (mean age = 33.5 years) of CPTs with various ethnic/racial
backgrounds represented. New York City is a multicultural city, so the diversity is a solid
representation of the region. See Table 5.

Table 5
Race/Ethnicity
Frequency

Percent

Black or African American

4

33

White/Caucasian

4

33

Asian/Pacific Islander

2

17

Hispanic

2

17

Characteristic

Note. N = 12.

All participants worked as CPTs in New York City with a majority operating in the
borough of Manhattan. The host facility was located in Midtown Manhattan, which may be one
reason for the heavy presence of CPTs from this particular region. See Table 6.

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Table 6
Location of Employment
Characteristic

Frequency

Percent

Manhattan

9

75

Staten Island

2

17

Queens

1

8

Note. N = 12.

The researcher used available networks to recruit CPTs to participate. The researcher’s
social media and network of fitness facilities target more toward independent personal trainers to
recruit. Table 7 shows the breakdown of CPTs that work independently verses in a corporate
facility, and those that work in both.

Table 7
Employment Type
Characteristic

Frequency

Percent

Independent / self-employed

9

75

Employed

2

17

Both

1

8

Note. N = 12.

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Research Question 1
How do certified personal trainer perceptions of attributional retraining impact client
motivation?

Two themes emerged under research question number one which details how CPTs value
the concept of AR after attending the workshop and their desire to implement it as presented.
The way that CPTs perceive and value AR will alter and direct the way they use it as a means of
client motivation. The two major themes identified within research question one, as seen in Table
8, are: (a) CPTs admit they could do better at implementation, and (b) CPTs would have made
changes if they were to do it again.

Table 8
Themes for Research Question 1
Themes

Frequency

Percent

1. CPTs admit they could do better at AR
implementation.

11

92

2. CPTs would have made changes if they
were to do it again.

11

92

Note. N = 12.

Theme 1: CPTs admit they could do better at implementation. Based on the
participants’ feedback during the second interview there were refinements they could have made
during client implementation to better match the four-step process provided during the
intervention, or to refine their knowledge on how to best approach AR execution. The
overwhelming majority of participants (11 of 12 [92%]) stated there were better ways to
implement AR with their clients. Participant 2 reported, "I may have skipped over things I was

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uncomfortable with." Participant 7 said, “I could defiantly do it better. I did it ok.” Participant 6
said, “I think I understand it but not entirely sure I know how to integrate it.” Later in the
interview Participant 6 followed up with this statement, “I don’t think I implemented as well as I
could have and now that I’m talking to you, I have new ideas and tools to try.” Participant 4
commented,
I could apply it way better. I dove deeper into the material when I knew that you were
coming to observe a session. I felt a lot better and saw it being a lot more practical than I
perceived it at first. I knew the content was good, but it was something that required a lot
more steps in helping the person change their mindset. I realized it was a lot more doable
after spending more time with the material.

Theme 2: CPTs would have made changes if they were to do it again. Participants
provided feedback on what they would have done differently to help with increased motivation
for future clientele. Most participants (11 of 12 [92%]) provided input on the changes they would
make to refine the process. Participant 8 said, “I applied things from memory of the seminar. If I
could go back and do it again, I would see where in the workout I could implement specific steps
in the process.” Participant 9 said, “I could have applied it more directly the way we did in the
workshop, but I still applied the concepts.” Participant 6 stated that AR was used it with a limited
number of clients during the study and that more AR practice was needed to improve the
motivation process. Participant 7 seemed to be unsure during the observation how to apply AR.
During the second interview, this person seemed to be more comfortable with the process and
provided new strategies to implement with clients in the future that would make the motivational
process more accepted by individual clients.

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Research Question 2
How does attributional retraining impact the level of motivation for personal training clients?
During the session observations and the post-intervention interviews, the participants

implemented AR with clients to see how it affected their exercise motivation by finding positive
reasons to exercise and by helping overcome barriers to fitness-related success. CPTs provided
feedback on client motivation and review of their responses resulted in three emergent themes
seen in Table 9: (a) clients focus more on an internal locus of control, (b) perceived client
experience was highly beneficial, and (c) participants recommend other CPTs learn and apply
AR with their clients.
Table 9
Themes for Research Question 2
Themes

Frequency

Percent

1. Clients focused more on an internal locus of
control.

11

92

2. Perceived client experience was highly
beneficial.

12

100

3. Participants recommend other CPTs learn
and apply AR with their training clients.

12

100

Note. N = 12.

Theme 1: Clients focus more on an internal locus of control. Training clients often
considered barriers to fitness-related success as uncontrollable external forces that kept these
clients from achieving exercise while not under the supervision of their CPT. CPTs pointed out
in the post-intervention interview that a significate component of increased motivation was a
shift toward an internal locus of control. Participant 6 had been working with a client for over a

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year and started implementing AR. This participant noted, “My client was motivated by peers,
and now actually seeing her intrinsic click in the past couple weeks. I’ve been working with her
for over a year.” Participant 4 said, “The majority are transitioning from external to internal and
doing it for themselves.” Participant 4 also added, “Not everyone who says they are ready to
change is truly ready. They say because their doctor, society, spouse, or scale is telling them to
do that. They have to internally decide to make a change.” Participant 12 spoke to the topic of
motivation after having implemented AR by saying, “(clients) are now more intrinsic. External
still has a part, but the internal motivations are the big driver.” During the observation Participant
2 said, “I believe he is internally motivated and if not, he should be. Its more on yourself to make
things happen.” Participant 2 followed up in the post-intervention interview with the following,
It’s a combination of both (internal and external), but since AR it has become more
internal. The training with them is more external but it seems the effort they are putting
forth is not externally motivated. She is doing it consistently by and for herself. School
just started back again, and she was worried she would fall off and she is still coming
regularly. Her consistently is definitely there, so internal motivation. She’s not affected
too much by things going on around her.

Theme 2: Perceived client experience was highly beneficial. All CPTs in this study (12
of 12 [100%]) found AR to be highly beneficial in motivating clients to exercise on their own. A
leading reason CPTs were drawn to the course and agreed to participant in the study was to learn
how to motivate their clients to change, so the feedback on their clients’ view of AR provided
rich detail and enthusiasm during their responses. The feedback was provided by participants

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during the post-intervention interview and observing clients during AR sessions. Participant 1
stated,
It is exceptionally showing another layer of knowledge of behavior change and displays
that there is a value-add and helps to show we are committed to helping with long-term
change. It's easy as a trainer to work people out all day. This takes it to the next level.
Everyone sees the value, and I did not have anyone find it negative. When we sat to talk
instead of working out, they realized it. It would actually take us into a conversation
where couple clients would bring up others who they knew that were struggling with
similar things to the hypothetical story I gave them. With them being able to relate to the
stories they were able to see more significance in the stories and see what got in their way
and how to stop making excuses for things they could control and know they could start
somewhere.
Participant 2 said,
She may look at as reasons people attribute blame and to stop looking for outside reasons
for why goals are not achieved. Stop blaming others or situations and look at what you
can do to make it better. Since we discussed how the industry has industrialized fitness,
she is asking more about what to do at home and being more active outside of the gym.
She wasn't doing any of that stuff before. It really about taking responsibly and not
putting the blame on others or outside circumstances.
Participant 8 showed a significant turnaround when stating, “My guy has come 165-170 degrees
from where he was before in only four sessions, so I would say that he's a believer." Finally,
Participant 11 said, "Without a doubt, they recognize they got benefits from it. If we left it at the

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36

hypothetical stories, it would not, but when we related it back to themselves like diet, exercise,
nutrition, they defiantly benefited fitness-wise and health-wise."
Interestingly, several participants (4 of 12 [33%]) did not inform their clients that they
were doing anything new. Participant 9 said, “They did not know AR was being implemented. I
just applied it into the program we already do.” Participant 6 stated, “I don’t think they know I
was doing it. They just think it was normal coaching.” These statements show that some CPTs
may not want to disrupt the current training process with additional information based off a new
workshop. However, the feedback from trainers that stated they were implementing AR and the
process showed more significant client responses than those that added it to the program by
explaining the process.
Theme 3: CPTs recommend other CPTs learn and apply AR. CPTs were not only
overwhelmingly supportive (12 of 12 [100%]), but their responses detailed increased CPT
productivity and better client outcomes. Based on the participant descriptions and feedback, there
was explicit support for other CPTs to learn and implement AR into their training. Participant 1
said, "These tools can help trainers be more successful in their job and longer-term business and
drive more referrals just by having this sort of skillset in their toolbox.” Participant 2 stated, “It’ll
benefit the trainer because the client is doing more for themselves. They get more out of their
clients because the client is empowered to do more on their own. I can’t see why somebody
would not benefit.” Participant 5 believed, “Trainers should start figuring out how to apply this
type of motivation more. Both trainer and client benefit from what the client does.”
Participant 6 described the following, “Allowing the client to see they have their own answers
allows more internal locus. Giving trainers the tools to help clients be more intrinsically

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37

motivated takes the pressure off the trainer. It is exhausting! This way the trainers are
empowered to empower their clients.”
Participant 11 said,
I feel like motivation in fitness is a huge deal. In training, you deal with the worst parts of
their motivation like inconsistencies. Motivation is so vague and broad. Do I send the
quotes? This is a scientific approach with a theory and science to back it. It is an
organized approach which is what everyone can use because everyone makes attributions.
Now there is a simple and clear system to follow.
Participant 12 detailed,
It would benefit them positively because they would experience greater retention and
they would also have an easier time training their clients. When you try to force your
clients to do something, it can be difficult. This makes it easier because you're focusing
on the workout or nutrition without the back and forth. The tension is lifted. You're
coaching a client, and they are receiving the information better.

Research Question 3
How does attributional retraining contribute to improved client experience and adherence?
During the workshop and the post-intervention interviews, CPTs discussed ways to increase
client experience and adherence. Many individual codes were used without reaching complete
saturation. However, two themes emerged as foci for improved adherence and experience: (a)
strategies implemented, (b) increased effort, and (c) successful retraining (see Table 10).

38

PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING
Table 10
Themes for Research Question 3
Themes

Frequency

Percent

1. Support strategies implemented

12

100

2. Increased effort

12

100

3. Successful retraining

12

100

Note. N = 12.

Theme 1: Support strategies implemented. During the workshop, CPTs engaged in
group discussions to devise strategies to help increase client adherence while not under their
supervision. During observations and post-intervention interviews, some of these strategies and
more were put into place by all CPTs (12 of 12 [100%]) to increase client exercise adherence and
curtail their individual experiences to be more pleasant and motivating. During the interview,
Participant 1 said, "We offer up strategies to help them optimize how to do it on their own. We
strategize with them on how to maximize their time, and it builds upon their effort, and it is just
maintained from there." During the observations, Participant 1 also stated, "Calorie counting
came from myfitnesspal (myfitnesspal.com) and used an HR monitor so we could see day by day
and week by week the change in data. We now want to see how a hypothetical way to
accomplish it. It's through our strategy, tools, and insights that we put together for you, and YOU
(to the client) provide the effort." Participant 3 affirmed, “I use DotFit (dotfit.com) to provide
programs and provide accountability. Certain workout classes we keep attendance, so I can set
them up to go to a class, and I know if they went. For their own workouts, I ask if they showed
up and do at least ten mins whether its bike or treadmill. They often will choose to do more."
Participant 11 stated that “too often they (clients) say they don’t know what to do so we work

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39

together to write the program and they know exactly what to do.” Participant 12 took the partner
approach to programming and expanded it with this strategy,
With one client I had her walk me through what she does so she can understand it for
herself better. I had her train me and coach me on how to exercise and how to position
myself. I’ve been scheduling the workouts in her calendar. Some people get frustrated. I
put it on her calendar to make it as easy on them as possible. If it’s in the calendar, she’ll
do it.

Theme 2: Increased Effort. Increased effort was a major theme discussed in the
workshop, session observations, and post-intervention interviews. Effort was central to all CPT
conversations with clients with complete compliance (12 of 12 [100%]). Of effort Participant 7
said, "The strategy is important because I put a plan together to give them something to do. They
are doing it, but they have to put the effort in to make the plan happen." Participant 9 stated, "Put
in the effort and trust the process. Incorporate this into lifestyle. You can always make little
choices. We role model it and ask them to put in the effort follow the example and process."
Participant 11 said, "I stress effort so much in the AR they can't get away from it. They definitely
perceived it (success) because of their effort." Participant 3 said,
My understanding (of AR) was enough – putting in it my own words – to help my client
with her outcomes. Since doing just what I knew to implement our communication and
her performance was much better. Her performance has much more effort and our
scheduling have fewer excuses - less reschedules. Her effort is defiantly there.

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40

Theme 3: Successful retraining. A major theme that has profound effects is how well
clients respond to AR. Training clients are having positive experiences and increasing exercise
adherence. Each CPT in participation (12 of 12 [100%]) stated and detailed successful client
outcomes after applying AR with their clients.
Participant 6 was able to simplify a program to increase compliance,
I changed my programs and made them simpler and seen my clients get more confident
and more capable and think maybe “yeah, I can do this on my own.” I have a 72yo client
with the best program written out, but he wasn't able to do it. I simplified the program
(task difficulty), and he is now able to do it.
Participant 10 needed the opposite approach. He said of his client, “He has a sense of purpose
because the task is difficult – he enjoys the challenge and the idea that he has conquered this is
what appeals to him.” Participant 3 points out the changes made through AR by the following,
"In the beginning, they definitely wanted to blame other things. Slowly that changed, and they
stopped blaming other things and started taking responsibility. Now they accept that they are the
ones that can do something about it." Participant 8 says of her client’s AR,
She has sold herself on the idea that everything else is in the way. AR is starting to help
her realize that there is something that she can do to control it. She has some emotional
connection with food above my pay grade, but she is starting to see that she has other
options outside of these rutted believes. Just because you believe and blame something
doesn't make it true, and she is shifting perspective.

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PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING
Additional Findings

Additional findings that may not be in strict alignment with the research questions but are
integral to the process of AR and the results of this study. Here is the examination of additional
themes that arose that are important to evaluate. An understanding of the following themes may
provide insight into why specific motivational and adherence strategies work. CPTs will also
note similarities between the findings here and what they may encounter in their work with
clients. These findings can support their understandings and provide insight on how to follow up
regarding the themes above including strategies to implement and how effort can help. The
following additional themes emerged, (a) CPTs perceived that clients attribute barriers to fitnessrelated success (BFRS) overwhelmingly to uncontrollable external factors, and (b) CPTs
perceived client's limiting factors to exercise to be controllable (see Table 11).

Table 11
Additional Findings
Themes

Frequency

Percent

1. CPTs perceived that clients attribute
barriers to fitness-related success (BFRS)
to uncontrollable external factors.

12

100

2. CPTs perceived clients’ limiting factors to
exercise is controllable.

12

100

Note. N = 12.

The codes that emerged as perceived BFRS were in part attributed to the clients from the
CPTs perspective. Some were reasons the clients provided to the CPTs as to why they were
unable to exercise regularly on their own without CPTs supervision. The total number of codes

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42

are represented in a smaller text while the primary themes are represented more centrally and in a
larger text (see Figure 1).
Additional finding 1: CPTs perceived that clients attribute barriers to fitness-related
success overwhelmingly to uncontrollable external factors. The most discussed uncontrollable
external factors were (a) work, (b) time, and (c) schedule. All CPTs (12 of 12 [100%])
throughout every phase and component of this study have pointed out each one of these factors at
least once.
Work was mentioned by all CPTs (12 of 12 [100%]), and throughout all stages of data
collection, the word work was cited 21 times as a barrier to fitness-related success (BFRS).
Participant 7 said, "The business people work hard, and that won't change." Of work, Participant
8 said, "They are resigned to the fact that this is the way life will be until they retire. It's the thing
you do in NYC in order to make it."

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Figure 2. Word cloud of barriers to fitness-related success (BFRS). A word cloud is being used
to represent all the barriers listed by training clients with the largest represented in larger and
more centralized text.

Time was an overwhelming factor given as a BFRS. Each CPT (12 of 12 [100%]) stated
time at least once and was used a total of 18 throughout all component of data collection as a
limiting factor to exercise success. Participant 11 simply said, "No time - that's a big one!"
Participant 4 stated during the pre-workshop interview, "There are always situations that arise,
family, work, responsibility. It's always a different thing, and it's always related to time."
Participant 4 also shared difficulties with clients during the same interview by saying, “The
biggest issue for many is time. Supposedly, they don’t have enough time and couldn’t do their

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workout homework.” Here the subject is showing the difference between what the client believes
to be the limiting factor and what others on the outside consider to be limitations. The client
believes they do not have enough time. However, Participant 4, as well as all other CPTs in this
study, see this as an excuse and believes the client has time but is not scheduling or prioritizing
appropriately
Schedule was also mentioned by many CPTs (8 of 12 [67%]) with a total of 16 different
times being referenced as a BFRS throughout all stages of research data collection. Though not
all CPTs mentioned schedule, it was mentioned by those that did use it as many times leading it
to be the third most used BFRS. Schedule, like time, is non-specific and can include other
components including family, work, social, leisure, and “other” responsibilities. Participant 6
said, “They feel like their schedules are already packed and overwhelmed. They don't see
schedule changing.” When asked about BFRS, Participant 2 said bluntly, “She blamed her
schedule.”
Addition finding 2: CPTs perceived clients' limiting factors to exercise as controllable.
This looks at client attributions from the outside perspective, known as interpersonal theory.
Interpersonal theory of attribution theory states that “others are judges determining if others are
innocent or guilty (Weiner, 2000).” CPTs look at controllable reasons that clients are not
adhering to their programs or lack the motivation to exercise on their own.
Most CPTs believe that it is lack of knowledge or understanding (8 of 12 [67%]) that is a
reason that clients do not exercise on their own. Participant 5 said, “Most lack knowledge.”
Participant 2 stated, “(They are) confused without me. They don’t think they know anything to
do without me. Some will ask for exercises to do. Most feel lost and helpless.” Participant 11
said, “They don’t know what or how to do on their own.” Participant 7 detailed, "They need to

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45

get better and knowing and understanding how to exercise on their own. I may have done
exercise with them like a KB swing, but they mentally check out and don't know how to do it on
their own. Some feel uncomfortable." In answer to support clients that lack knowledge, all CPTs
(100%) have developed strategies to help clients know what to do when not under their
supervision.
Prioritization is another controllable factor that was addressed by CPTs. Though it did not
reach consensus (6 of 12 [50%]), it was mentioned a total of 16 times which makes it tied with
schedule for third on the list of most used words recorded as BFRS. Prioritization is a
controllable factor that several CPTs spoke to as essential areas of reattribution. Participant 3
stated, "Usually if they still mess up, they blame other outside things like Ramadan, or time, or a
lot of other reasons why they can't. Errands, family event, etc. It's not a priority." Participant 1
believed that "it takes effort to prioritize (exercise) into your lifestyle." Making exercise a
priority was seen as a controllable aspect of exercise adherence, and other items or experiences
take priority over exercise. As Participant 4 said, “It is a matter of prioritizing. They find time for
other things, so they could make (exercise) a matter of priority.” Later in the same postintervention interview, Participant 4 added, "They blame time and circumstances and
themselves. In most circumstances, they know that are not making it a priority over the things
that pop up in their life." Participant 9 provided some prioritization insights by saying,
I think they realize we can prioritize the workouts. It's not blocking out two hours to
workout. It's more about incorporating it throughout the day like taking the stairs instead
of the escalator. Choosing fruit instead of a poor snack. Better food choices at dinner.
They can make better lifestyle choices that don't really require time.

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Discussion
The results show the benefits of attributional retraining (AR) even when most research
participants implementing it felt they could have done a better job utilizing AR. From an
empirical perspective, AR was found to be beneficial from both the certified personal trainer's
(CPTs) perspective and their client's perspective regarding motivation and non-supervised
exercise adherence. These preliminary findings provide compelling evidence that rigorous
testing should be performed using AR as a potential means of increasing exercise adherence and
motivation for CPT clients during their non-supervised exercise.

Relevance to Existing Research
Attributional retraining has been used in higher education to motivated low achievers
toward better grades and non-exercisers to increase exercise adherence (Hamm, Perry, Clifton,
Chipperfield, & Boese, 2014; Haynes Stewart et al., 2011; Nickle & Spink, 2010; Sarkisian,
Prohaska, Davis, & Weiner, 2007). Nickle and Spink (2010) provided a three-part intervention
which was applied during this research with addition of a fourth phase. The outcomes of this
research fall in line with the current body of research in that it found positive correlations
between the application of attributional retraining and the increased motivation and adherencebased outcomes. Similarly, other researchers have looked at barriers to fitness-related success
(BFRS) and found similar barriers though the situation and demographics are not the same
(Louw, Biljon, & Mugandani, 2012; Dishman, Jackson, & Bray, 2014). Attributional retraining
seems to have applicable transferability in multiple facets. Though the certified personal trainer
will ultimately decide if the research is transferable to their situation, the literature does show
consistent correlations through various scenarios.

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Prioritization versus Time
Training clients with an external locus of control (external motivation) tend to blame
outside and uncontrollable circumstances for reasons they cannot exercise. Roadblocks, or
barriers to fitness-related success (BFRS), reported by the CDC were by large external locus of
control examples which included inconveniences, lack of support, nowhere to exercise, not
knowing how to exercise, and the weather (CDC, 2018). Per Weiner’s attribution-based theory of
motivation, individuals tend to attribute failure toward external locus, and success toward
internal locus and a person’s attributions for success or failure determine the amount of effort a
person will expend on a task (2010). Individuals attribute their perceived reasons for failing to
exercise regularly toward external causes to protect their egos and feel better about themselves
and minimize accountability by blaming external circumstances. It is, therefore, essential to help
people make small attainable changes in their established habits so that they can begin shifting
toward an internal locus of control. This may mean limiting copious amounts of exercise
requirements and standards set out by leading organizations like Center of Disease Control and
Prevention (CDC) or the American College of Sports Medicine (ACSM) until they can become
successful at smaller and less demanding requirements.
Before the attributional retraining (AR) workshop, certified personal trainers (CPTs)
provided feedback in the initial interview as to why they believe their clients do not workout and
exercise on their own. CPTs gave answers based on two different perspectives: 1. Why CPTs
think the client believes they cannot exercise, and 2. Why the CPTs believe the clients do not
exercise on their own. The prior is given from the perspective of the client while the latter
provides an answer that the CPTs think to be the real reason. According to Weiner (2000), there
are two viewpoints of attribution theory – intrapersonal and interpersonal theories. Intrapersonal

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theory states that “people are scientists trying to understand themselves and their environment
and then act upon the basis of this knowledge (Weiner, 2000, p. 2).” Interpersonal theory
conversely states that “others are judges determining if others are innocent or guilty (Weiner,
2000, p. 9).” The majority of the feedback given by trainers from their clients’ perspective listed
uncontrollable and stable events. This means that the reasons for exercise non-compliance were
often perceived as something that clients could control or change. However, when personal
trainers provided their perspective, they often pointed out controllable options and always found
a way and the means to exercise. As Participant 4 specified, "It is a matter of prioritizing. They
find time for other things so that they could make (exercise) a matter of priority." This is not to
discount the importance of work or family time, leisure, or other responsibilities. However, the
mounting research on the benefits of exercise on fitness, health, wellness, and cognitive
outcomes should cause exercise adherence to be paramount in the lives of all (Garber et al.,
2011; Szuhany, Bugatti, & Otto, 2015).
Some CPTs pointed out that the time and effort it takes for clients to reach their stated or
desired goals will take too long or take too much effort. The Center of Disease Control and
Prevention (CDC) recommends between 150 minutes to 300 minutes of moderate-intensity
exercise or 75 minutes to 150 minutes of vigorous-intensity exercise per week. With these
guidelines as a general backdrop, it may seem overwhelming for clients to accomplish. If an all
or nothing approach is taken, clients may choose to do nothing over partial commitment that
provides less than optimal outcomes. If time constraints limit the ability or perception for clients
to achieve their exercise goals, it is vital to prioritize regular movement and activity.

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Workshop Scenarios
During the workshop, there were several breakout sessions where participants worked
within groups to reinforce ideas, provide content surrounding client attributions under differing
categories of attribution theory (AT), and develop a series of hypothetical stories that fall in line
with AT and AR to use with their clients. These stories were then paired down by the researcher
to cover different AT topics including causal ascriptions, causal dimensions, and behavioral
consequences. With a variety of hypothetical stories that CPTs can use with their clients during
AR, the CPT can pick one or more accounts that differ from their clients' reasons for not exercising,
thus allowing the client to have a true outsiders perspective to provide feedback on how to support
this assumed person. The following stories were developed by the CPTs in the workshop to offer
to their clients:
Scenario 1. A man works in finance and entertains clients 2-3 nights per week and
travels a lot for business. His schedule leads to drinking too much, eating poorly, and doesn't
allow him time to exercise.
(Internal or external)
(Stable or unstable)
(Controllable or uncontrollable)

Scenario 2. Since I’ve been in this relationship, I stopped exercising and going to the
gym and have gained 20lbs. My fiancé doesn’t say so, but s/he prefers I stay home to be together
rather than go to the gym. We are both sedentary, and we eat takeout regularly and often late at
night.
(Internal or external)

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50

(Stable or unstable)
(Controllable or uncontrollable)

Scenario 3. Female in her 20s who just went through a breakup. She is insecure about her
body and believes that may play a role in her break up. She is unfamiliar with exercise and what
do and because of her insecurities feels uncomfortable working out in front or around other
people at the gym.
(Internal or external)
(Stable or unstable)
(Controllable or uncontrollable)

Scenario 4. A 67-yo male who loves playing golf. His physician told him to start
exercising to help manage his blood pressure and his weight. He does not live near a fitness
facility.
(Internal or external)
(Stable or unstable)
(Controllable or uncontrollable)

Admittedly, some participants did not use the hypothetical stories because they felt
uncomfortable with how to apply this type of role play in a training session. As Participant 6 said,
“I usually hear a questionable attribution, and I just call them on it rather than going through the
stories.” Calling people on their false attributions is indicated, and the stories are not used in place
of holding clients accountable for such statements. Those who did include the hypothetical stories

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developed during the workshop by the participants received excellent feedback and outcomes. For
instance, Participant 1 said, “Our sessions have been going better since that session and using the
scenario with the fiancé that didn’t want the client to exercise. It allowed us to open up our lines
of communication more and showed the role they play in their success.” Later in the interview
Participant 1 detailed the following,
When we sat to talk instead of workout, it would actually take us into a conversation
where a couple of clients would bring up others they knew that were struggling with
similar things to the hypothetical story I gave them. With them being able to relate to the
stories they were able to see more significance in the stories and see what got in their way
and how to stop making excuses for things they could control and know they could start
somewhere.
Participant 2 relayed these insights,
The relation to the story gave her a cool perspective to be put in the trainer’s shoes for 15
mins at the end of a workout gave her the ability to access someone else’s situation which
allowed her to look at herself. She saw ahead of time where the direction was going and
gave her a clearer picture of how to use it to her benefit.
Participant 11 said,
I definitely think that it's effective because the clients I have told hypothetical stories to it
made them more aware of their own life. The client you observed seemed motivated.
After we did the stories, she said she feels so in control! They were already motivated,
but it was a huge kick in the ass. As I asked them to apply the attributions to their lives
many of them had a huge understanding of the concepts based on being an outsider in the
stories.

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Programming
Research2guidance (R2G) (2014), an app market research company, shows more than
100,000 mobile health apps have been published in the top two platforms, iOS and Android.
Revenues reached $2.5 billion in 2013, and projections by the end of 2017 are estimated at $26
billion for health apps resulting in a 0.5% share of the global healthcare market (R2G). Fitness
apps led the mobile health categories (30.9%), followed by medical reference apps (16.6%),
followed by wellness apps (15.5%) which include topics like relaxation solutions and yoga
instruction (R2G). Some of the fitness apps connect to wearable devices that track heart rate,
steps, sleep, and more. This shows that mobile technology is supportive of fitness, wellness, and
health initiatives and that people show continued demand and use of such technology.
Research participants provided exercise programming to help clients who lack knowledge of
what to do on their own as well as providing both guidance and accountability. Several apps and
platforms such as DotFit.com, myfitnesspal.com, myzone.com, and trainerize.com were used by
participants to make programming easy and accessible while receiving real-time feedback when
sessions were completed. Others wrote programs out or delivered by text or email to clients.
Each of these was used as a means to help clients prioritize exercise while at the same time
getting rid of, or at least minimizing, lack of knowledge as a BFRS. Another app suggested by
one participant was Headspace.com to help their clients clear their heads and increase focus
through guided meditation.
Several CPTs forewent digital exercise programming and required that their clients
develop their workouts to do on their own time. This was suggested in the workshop and was
based on the concept of self-directedness as championed by Knowles as one of six foundational
beliefs of andragogy (Clapper, 2010; Caruth, 2014; Taylor & Kroth, 2009). This suggestion

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allowed clients to decide what they can do on their own and can help to provide a more internal
locus of control as they are the ones developing the program rather than following what someone
else designed. The CPTs should still oversee the process to make sure the clients are putting
together a safe, effective, and attainable program.
Attributional retraining increased CPTs confidence in training. Certified personal
trainers (CPTs) benefit from learning about AR as well. How CPTs developed a new perspective
by implementing AR has changed how some train and coach. Participant 9 said,
The AR seminar gave me another arrow to put in my quiver and another tool in the
toolbox. I hear so many excuses, but it doesn't make a difference if you don't do what's
needed to accomplish goals. So, instead of talking to her so tough, I have to look at this
through a prism to see a way to help her achieve her goals. I haven't seen a change in her,
but I feel better because I'm not getting upset. I'm making it about her and not about how
I feel about it. So, AR has given me a new technique to help change my attitude and keep
her calmer. She responds better in the gym now. She is having a difficult time still on her
own, but she responds better in real time. AR helped retrain me and how I feel about
things. I'm not just a trainer. I'm a coach. This helped both of us. I'm really about the
result. When weekend after weekend they still don't adhere to coaching it is tough. This
AR training has helped both of us.

Addition of the Supportive Phase
During the workshop, the Nickel and Spink (2010) three-phase approach for AR
implementation was reviewed and discussed. Nickel and Spink (2010) conducted two studies to
examine associations among past activity behavior, attributions, and self-regulatory efficacy for

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maintaining physical activity sufficient for health benefits. First, the causal search activation
asked students to attribute causes for achievement failure. In the AR workshop, reference was
made to these achievement failures as barriers to fitness-related success (BFRS). This is where
CPTs encourage their clients to discuss the obstacles and limiting factors that keep them from
exercise motivation and adherence. Second, the attributional induction stage had students watch
a short video of two students discussing ways they could increase academic performance,
followed by a professor summarizing the video and reiterating the focus of controllable causal
explanations. Rather than providing a video, CPTs in this study provided scenarios developed
during the workshop to use with their clients. These scenarios included differing scenarios that
addressed unique combinations of causal attributions and determinates of AR. Third, the
consolidation phase focused on processing the AR content by writing a summary of the video,
provide their attributions as to why the students in the video did poorly, and then more
profoundly processing the information by applying the main points of the video to their own
lives. All CPTs that used predetermined written stories rather than video to create a scenario to
discuss. The CPT and client then engaged in conversations about the predicaments the of
individuals and deconstructed, analyzed, and then discussed the situational barriers to fitnessrelated success and how that individual could over them before applying the principles back to
their own circumstances. However, having clients write down their interpersonal attributions was
not practiced as it seemed impractical in a gym or fitness setting. Instead of writing down a
summary, a simple one-on-one discussion between the CPT and the client took place.
Not included in the Nickel and Spink (2010) three phases of AR was a fourth phase
added for the purpose of this study called the supportive phase. Otherwise, the three previous
phases help with self-insight and self-understanding, but no further supportive constructs were

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provided or discussed to support retraining. Detailed and clear exercise programming is an
essential part of the supportive phase, but following step by step instructional guidelines is
hardly a comprehensive motivational strategy. Many programs are available online, in
magazines, and via apps. CPTs in this study suggested additional motivational strategies to
support clients to engage in unsupervised exercise. Suggestions included regular emails or text to
check-in with clients throughout the week. Some participant suggested electronic versions to
make sure everyone gets regular messaging, but others believe automated messages may not be
as supportive due to the potential lack of individual feeling. Discussions about appropriate
exercise programming, planning for events or races, to conversations about reassessing priorities.

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Conclusion
In summary, certified personal trainers (CPTs) perceived interventions using attributional
retraining (AR) were helpful in increasing unsupervised client exercise motivation and exercise
adherence. CPTs acknowledged that AR worked well but admit they would have made changes
in their implementation. Those that implemented the full four-part AR system that was discussed
in the workshop received more significant feedback from their clients about their attributions.
AR also increased the level of intrinsic motivation in personal training clients helping them
overcome barriers to fitness-related success such as time, work, and scheduling issues. AR
showed to be successful in this group of participants as all subjects increased unsupervised
exercise adherence with the support of effective strategies and focus on putting forth individual
effort. The use of attribution theory can help CPTs better understand how current attributions can
affect future motivation. The use of attributional retraining can help alter the current attributions
toward those that are both controllable and unstable. AR deserves further and more rigorous
investigation as a means of assisting CPTs to provide guidance and support to clients struggling
with BFRS and motivation to exercise on their own.

Future Directions for Research
Through the lens of qualitative research, this study provided detailed and meaningful
feedback from participants that attended the attributional retraining (AR) workshop and applied
the instruction with their personal training clients. Though this method is intriguing and provides
compelling feedback, more rigorous research applications should be applied to discover the
scope of how AR can be fully applied and to what degree. The following section will discuss (1)
how qualitative differs from and influences quantitative research, (2) the benefits for CPTs to

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learn about AR, and (3) AR influences motivation and adherence, and (4) a call to action for
future research.
How qualitative differs from and influences quantitative research. Research looks to
solve problems and provide answers constructed around a research question. This study had three
such research questions: (1) How do certified personal trainer perceptions of attributional
retraining impact client motivation? (2) How does Attributional Retraining impact the level of
motivation for personal training clients? (3) How does Attributional Retraining contribute to
improved client experience and adherence? Additionally, research is supposed and proposed to
have a purpose. This research's aim was to receive feedback from certified personal trainers of
their perceived value of AR after applying it with their clients for several months. This was done
through a qualitative inquiry. According to Bloomberg (2016), “Qualitative research is suited to
promoting a deep understanding of a social setting or activity as viewed from the perspective of
the research participants… (which) implies an emphasis on exploration, discovery, and
description” (p. 38). This research provides a foundational approach to AR in the use of exercise
motivation and adherence as applied by CPTs. There was an educational implementation to the
CPTs followed by the immediate application from them to their clients. In this setting, everyone
is exploring: the researcher, the CPTs, and the clients. The discovery and description that took
place through this exploration is the value-add to the body of research.
According to Bloomberg (2016), “Quantitative research, in contrast, is applied to
describe current conditions, investigate relationships, and study cause-effect phenomena” (p. 38).
This type of study compares numbers rather than themes, statistical correlations rather than
perceptions, statistical analysis rather than descriptions of experiences, and as the subtitle of the
one article states on social programming “not whether programs work, but how they work”

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(Rogers, 2000). Randomized controlled trials (RTCs) are limited in their ability to explain the
“how” or “why” a given intervention worked or did not work, so case studies are helpful to better
and more fully explore the “how” or “why” (Shavelson & Towne, 2002).
Too often, the hierarchy of research belittles the qualitative approach due to its lack of
rigor. This has an unfortunate historical base since “too many times, a case study researcher has
been sloppy, has not followed systematic procedures, or has allowed equivocal evidence to
influence the direction of the findings and conclusions” (Yin, 2014, p. 19). With appropriate and
systematic implementations such as triangulation, saturation, and validation (internal, external,
and construct) to the qualitative approach, it does stand up to rigors of evaluation. It is likely that
qualitative approaches seem less rigorous because so many methodological texts exist to provide
a systematic path for researchers to follow verses very few qualitative texts that cover the same
systematic operations (Yin, 2014). Qualitative case studies should be seen and respected “as
adjuncts to experiments rather than as alternatives to them” (Cook & Payne, 2001). Though
RCTs and other methodological quantitative means are very important, research also is in need
of “a humanistic validity-seeking case study methodology that, although making no use of
quantification or tests of significance, would still work on the same questions and share the same
goals of knowledge” (Yin, 2014, p. xvii).
Ultimately, all research starts with a theory that some intervention of interest affects an
outcome. Qualitative research is an empirical version that explores and describes how a theory is
perceived to work or have an effect in a dynamic setting while quantitative analysis is a
measurable version of how independent variables affect dependent variables in a controlled
environment. If qualitative research is present, it can lay the groundwork of correlation and
interest before embarking on a means of seeking measurement. Research cannot and should not

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always rely only on perceptions to provide answers to questions, but it should listen to the
validated stories of an empirical process and then attempt to measure these outcomes against
controls.
Benefits for CPTs to learn about AR. There is little doubt that CPTs hear attributions
blaming various BFRS regularly and habitually. This often comes from clients with an external
locus allowing clients to know they need to make a change while at the same time excusing
themselves from doing so. External locus of control can often lead someone to desire an outcome
deprived of the resolution or decision to change it. This can be exemplified by the impulse
purchase of at home workout equipment that is never used and annual gym memberships that
never rarely frequented. Through conversations with participants in this study, it is assumed that
the client’s goals far exceed their ability to actualize results. It is difficult to motivate change if
change always seems impossible.
Attributional retraining is a practical means of providing a perspective shift that clients
often need to begin reframing and actualizing goals. AR also requires that the clients be honest
with their perceived uncontrollable BFRS, acknowledge these barriers, and engage in a
conversation with a CPT that can help navigate around said obstacles. CPTs must also
understand that the client's perspective may not be the actual reasons they cannot engage in
regular unsupervised exercise. However, according to Weiner (2010), the perceived cause of
failure may be more important than the actual cause.
The implementation of a systematic approach to AR is also different than talking about
setting short-term goals and BFRS. Many trainers do this already. However, a systematic
approach using the four-step system as provided in this study provided better feedback and had
external validation in other research (Nickel & Spink, 2010). The provision of stories that clients

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60

can look in on and present their interpersonal opinion and feedback allows them to be of help to
someone else that is in need – even if it is a hypothetical situation. This is perhaps the personal
training equivalent, or at least is correlative, to the flipped-classroom approach where the
teachers serve the role as a guide to learning rather than the dictator of information. AR and its
foundation in attribution theory can provide CPTs a depth of understanding who their clients are,
what are their perceived difficulties in adhering to exercise, and then offer guidance on
overcoming those obstacles and developing the intrinsic motivation to exercise by decision and
desire rather than guilt and coercion. Intrinsic motivation has repeatedly been linked to enhanced
performance and outcomes, but the causal relationship has been unclear (Cerasoli & Ford, 2014).
How AR influences motivation and adherence. Hamm, Perry, Clifton, Chipperfield, &
Boese (2014) used attributional retraining for group categorized first-year university students as
achievement-oriented, failure-acceptors (low control, low failure preoccupation) and failureruminators (low control, high failure preoccupation). The results showed that all students
benefited from AR, but it was most beneficial those that had started the study already accepting
failure. Failure-acceptors that received AR developed higher intrinsic motivation, higher grade
point averages, and fewer course withdrawals than those without AR. Students who ruminated
on their failures and felt out of control (failure-ruminators) received no advantage regarding their
achievement, yet these students benefitted from AR to the extent that they altered their
dysfunctional emotional profile.
Teachers have had found positive empirical outcomes with student’s success using AR
(Hamm, Perry, Clifton, Chipperfield, & Boese, 2014; Haynes Stewart et al., 2011; Haynes,
Daniels, Stupnisky, Perry, & Hladkyj, 2008; Haynes, Ruthig, Perry, Stupnisky, & Hall, 2006).
Certified personal trainers (CPTs) might be able to provide similar results in motivation,

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61

adherence, and compliance when it comes to applying AR with their clientele in the fitness
environment. Weiner’s attribution-based theory of achievement motivation provides an
understanding of why a person behaves certain ways based on the perceived causes surrounding
success or failures for events that occur (Weiner, 1985). In a study on AR, Beacham et al. (2010)
found that trainers can help the client to see if the barriers they attribute failure to are
controllable to change the locus of control toward internal motives. Using Weiner’s attributionbased theory and attributional retraining, the CPTs can help teach clients that being sedentary is
not inevitable and that they should attribute their situation to modifiable attributes rather than
uncontrollable factors (Sarkisian, Prohaska, Davis, & Weiner, 2007).
These studies show that attributions need to be controllable. If the attribution is out of the
client’s control, it is important to reattribute or retrain these attributes. For instance, in Sarkasian,
Prohaska, Davis, & Weiner's (2007) study on AR used in the nursing home, many attributed a
sedentary lifestyle to old age. Old age is uncontrollable and therefore a poor attribution. AR must
include having the clients seek limitations that can be controlled for and altered. Once the client
sees these new reasons for their lack of motivation and adherence as something they can control,
they now have the power to make a change. This is the at the heart of AR and one of the great
influential components of attribution theory.

Call to Action for Future Researchers
Attribution theory and attributional retraining is not a new concept in motivation, but it is
under-represented in the literature, particularly regarding certified personal trainers’ role in client
motivation. The benefits of this type of retraining are that it does not cross the boundaries of
licensure for mental health professionals. AT and AR have strong roots in higher education

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62

(Hamm, Perry, Clifton, Chipperfield, & Boese, 2014). Though there is a strong belief that if it
works in that environment, it can work in personal training, the body of evidence needs to be
more rigorous and robust. This paper contributes to the body of research, but there is indeed
room for additional qualitative studies as well as the need for quantifiable research that go
beyond a Likert scale that quantifies qualitative data. RCTs and mixed-method research should
be developed around exercise-based outcomes using controls and statistical correlations. There is
universal agreement that modern society needs to increase activity levels. There are vast amounts
of money that patron the industry of fitness and yet throwing money at the problems does not
make them assuage. If additional researchers can help find a means of motivation that leads to
life-long healthy choices, then a greater good will be done.

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63

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Appendix A
Review of the Literature

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Research about fitness professionals including certified personal trainers (CPTs) and
ways to motivate adult clients’ self-directed fitness engagement has not been explored widely
(Fjeldsoe, Neuhaus, Winkler, & Eakin, 2011; Saida, Juul Sørensen, & Langberg, 2017). The
field of adult education, termed andragogy, was introduced in the United States by Malcolm
Knowles (1968) to help understand why and how adult learners approach learning. Since
Knowles proposed his theory of andragogy, much theoretical and empirical research has focused
on adult education and the nontraditional adult student population. Though adult education
activities and outcomes are naturally different from adult exercise activities and the results, this
literature review of adult educational approaches is designed to create a theoretical framework of
evidence-based strategies that may be implemented to motivate and encourage behavioral
changes in adults that lead to greater exercise adherence, compliance, and fitness-based results.
Theoretical research in adult education will be further addressed with additional focus given
toward self-direction, learner-centeredness, self-determination theory, and attribution-based
theories of motivation. From these areas of focus, a theoretical relationship is being proposed
between research and techniques teachers use to encourage and motivate their adult students to
increase adherence, compliance, and educational outcomes and how certified personal trainers
can do the same with their clients regarding exercise.

Theoretical Research in Adult Education

Driving Concepts in Adult Education
Though German educator Alexander Kapp is credited with introducing andragogy,
Malcolm Knowles is credited with synthesizing ideas, transforming, rebranding, and galvanizing

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a community of educators to study adult education (Taylor & Kroth, 2009). The following six
assumptions are the foundational beliefs of adult learning (andragogy): (1) self-directedness, (2)
accumulated past experiences, (3) readiness to learn, (4) problem or task-centered, (5) internal
motivation, and (6) the need to know why something should be learned (Clapper, 2010; Caruth,
2014; Taylor & Kroth, 2009). Though more a philosophy or model than theory due to limited
empirical evidence (Taylor & Kroth, 2009), andragogy may be able to lend applications to the
fitness professional in supporting exercise behavior modifications.
The first assumption that Knowles proposed was the idea that the adult learner must be
self-directed. According to Brockett and Hiemstra (as cited by Stockdale & Brockett, 2011), selfdirectedness is a “process in which a learner assumes primary responsibility for planning,
implementing, and evaluating the learning process. An education agent or resource often plays a
facilitating role in the process.” (p. 164). Stockdale and Brockett (2011) developed a scale called
the Personal Responsibility Orientation to Self-Direction in Learning Scale (PRO-SDLS) to
measure initiative, self-efficacy, control, and motivation with reliability and validity. The PROSDLS may be used as a template to create a self-directedness questionnaire for performancebased activities for the fitness client that can coincide with the Physical Activity Questionnaire
for Adults (Sibley & Bergman, 2016). Both surveys address self-directedness and preparation in
addition to another concept Knowles addressed – self-reflection (Sibley & Bergman, 2016;
Stockdale & Brockett, 2011).
Self-directed learning can be applied in a four-stage cycle: planning-learning-assessmentadjustment (Ten Cate, Kusurkar, & Williams, 2011). The planning phase is composed of two
parts: goal setting and the motivation to acquire knowledge and skills. The learning and
assessment phases include seeking instruction on styles, means, methods, techniques, and

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strategies on how to learn or accomplish a learning outcome. They may also include selfmonitoring and solicit feedback on their aptitude. The adjustment phase is a reflective
component that allows the self-directed learner to think about the outcomes and make corrections
or modifications for future learning. There is a correlation with the steps provided in the selfdirected four-stage cycle is implemented in education and how personal training clients begins to
seek out and work with a personal trainer or other fitness professional.
Tønseth (2015) discusses “readiness to learn,” the third of Knowles’ andragogic
concepts, as a combination of time in of life and triggering factors that lead an adult to seek
learning activities actively. Tønseth notes that triggering factors can be in response to work,
recreation, family life, community life and the like. These triggering factors can be considered
problem or task-oriented, which supports Knowles’ fourth assumption. Tønseth performed
qualitative interviews with 25 individuals, six males and 19 females, attending leisure-time adult
education programs at a university which varied in length and delivery (online, correspondence,
in-class lecture). The list of triggers in this adult population included children that have grown to
be more independent allowing for more time, divorce or breakups, workplace downsizing, newly
available financial support, peers or family members taking the same course who influenced
participation, and retraining due to illness or rehabilitation. Though there are many external
factors leading to self-directed education, all participants voluntarily enrolled in courses show
Knowles’ fifth assumption of internal motivation. These results show that there are different
triggers involving life transitions that lead individuals to seek participation in various learning
activities. Future studies with similar approaches that focus on exercise-related triggers may help
fitness professional better understand the reasons, rationale, and motivation for their client’s
seeking exercise training services.

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Maryellen Weimer contributes to the adult learning body of knowledge with her excellent
book Learner-Centered Teaching (2013). In it, she discusses five principles that need to be
implemented to be learner-centered: (1) teachers should let students do more learning tasks, (2)
teachers should do less telling so that learners can do more discovering, (3) teachers need to
create well-designed learning experiences, (4) teachers need to demonstrate how skillful learners
approach learning, and (5) teachers need to encourage students to learn from each other
(Weimer, 2013). Instructors facilitate learning by applying these principles and teaching students
how to take responsibility for their learning (Blumberg & Pontiggia, 2011). These principles lay
the foundation for the movement away from what teachers want to teach their student via
“telling” and moves toward how the teachers can guide students to discover and acquiring
knowledge through innovative guidance. By applying this approach, students should proceed
toward Knowles’ self-directedness, readiness, and internal motivations, which would leave them
to explore and cycle through the remaining assumptions that Knowles proposed for adult learners
– past experiences, problem-centeredness, and knowing why something should be learned or
performed. Perhaps the fitness professional can apply Weimer’s principles to their training,
teaching, and coaching to help prepare the fitness client for a self-directed and life-long focus on
fitness and wellness.

Attributions for Motivation, Stressors, and Roadblocks
Social media providers Facebook, Instagram, and Messenger reported that consumers
spent an average of 50 minutes per day on their platforms in the first quarter of 2016 (Stewart,
2016). The American Time Use Survey (Bureau of Labor Statistics, 2016) showed that the
average American spent 2.8 hours per day watching TV in 2015. When combined with time for

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sleep, work, school or other education, as well as other responsibilities, there is little wonder why
the Center for Disease Control and Prevention (CDC) lists a major roadblock for exercise
involvement as time (2011). Other roadblocks reported were inconveniences, lack of support,
nowhere to exercise, not knowing how to exercise, and the weather (CDC, 2011). Per Weiner’s
attribution-based theory of motivation, individuals tend to attribute failure toward external locus,
and success toward internal locus and a person’s attributions for success or failure determine the
amount of effort a person will expend on a task (2010). Individuals attribute their perceived
reasons for failing to exercise regularly toward external causes, so it is essential to help people
make small attainable changes in their established habits so that they can shift toward an internal
locus of control.

Attribution Theory
Bernard Weiner’s attribution theory states that people ascribe reasons for why they or
others succeed or fail at a particular event or endeavor (Weiner, 1985). Weiner explored three
causal sources, or traits, to which outcomes are often attributed: control, stability, and locus of
causality (2013). Can the individual control the outcome? Is the outcome stable or constant, or is
it variable, in flux, or optional? Is the locus of control internal or external? An internal locus of
control establishes the cause of effort residing within the person such as interest, liking, or desire
to perform a specific task. The internal locus for an exerciser may be because the individual likes
how exercise makes them feel. External locus of control comes from outside influences and may
be a goal provided by an external agent that another individual may attempt to achieve. An
external locus for exercise may be because a person’s spouse thinks that they need to exercise to
lose bodyweight.

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External locus of control is most often attributed to failures assigning fault to anyone or
anything but oneself (Weiner, 2010, p. 30). An example of an external locus of control is when
two teenagers in Bronx, New York sued the restaurant chain McDonald’s claiming that it was the
restaurant’s fault for their obesity (Santora, 2002). An external locus of control during successful
outcomes when starting an exercise program, progressing, and getting results may lead a person
to give external credit such as the support of other people, luck, or divine intervention. An
internal locus of control is when an individual sees their success or failures as a direct
consequence of their own doing. Internal locus of control most often relates to high achievement
needs, and that is because of personal control, skill, and ability that one could become successful
(Weiner, 2010).
In addition to the causal traits, Weiner (1985) suggest that the most important factors in
attributions of achievements are ability, effort, task difficulty, and luck. The causal dimension of
stability might indicate that effort and luck (chance or opportunity) are both unstable, meaning
that effort levels and luck can change. Ability and task difficulty may be considered stable,
meaning that one cannot change the ability or difficulty of the required task. They can only work
harder and hope to get lucky. For instance, losing weight for many is a difficult task, and the
person’s ability to lose weight will not change. However, with effort and luck, chance, and
opportunity on their side they may find success at weight loss. Weiner also points out that a
person’s opinion of whether they will be successful will indicate if they will begin an endeavor.
In the weight loss scenario, a person who thinks that exercise or a healthy will not lead to weight
loss will never attempt exercise or eat better due to lack of belief of impending success. These
factors in achievement ability rely heavily on the causal components of control, stability, and
locus of causality.

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Weiner’s attribution-based theory is grounded on the work of many others (Weiner,
2010). The historical influences on Weiner’s theory starts with E. L. Thorndike’s Law of Effects
which states that a rewarded behavior will be repeated, and a punished behavior will be avoided
(2010). These experiences and practices performed over time influence future actions. Hull and
Spence are the primary creators of “drive theory” which claims that behaviors are determined by
Drive X Habit, along with other factors such as influence (Weiner, 2010). According to Weiner,
Tolman (1932), Rotter (1954), and Atkinson (1957) said that drive is Expectancy × Value and,
for Atkinson, motives as well (2010). Incentives may include pride in achievement, the difficulty
of success, or ease of accomplishment. Weiner’s “grand” foundations were brought into question
when Atkinson’s theory was not confirmed in experimental studies. Rotter’s (1966) work on the
concept of “locus of control” stated that individuals with high achievement needs see their
environment as controllable by them versus a person with low achievement needs who may see
their success or failure as luck. However, Weiner was concerned that this unitary construct,
without the consideration of success or failure, or ability and effort, was not sufficient. Heider’s
work on attribution theory identified three determinants of performance: ability (internal to the
actor), effort (internal to the actor), and task difficulty (external cause of outcome) (Weiner,
2010). Once the work of Heider was included into Weiner’s concepts, four main perceived
causes of achievement outcomes were developed—ability, effort, task difficulty, and luck. These
four outcomes are the combination of the “grand” theories of motivation in which Weiner’s
attribution-based theory is grounded. This theory is used in educational context to build student
motivation (Weimer, 2013, p. 66), and have been implemented to produce positive exercise
interventions via increased motivation (Sarkisian, Prohaska, Davis, & Weiner, 2007).

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Attributional Retraining
Attributional retraining (AR) is designed to restructure causal explanations of poor
performance by encouraging controllable attributions such as effort and strategy in place of
immutable causes such as ability or intelligence (Haynes Stewart et al., 2011). Research has
shown AR’s effectiveness in modifying causal attributions (Haynes et al., 2006), increased
perceived control (Haynes et al., 2006), improved motivation among university students (Haynes
et al., 2008) and increased likelihood of passing university courses (Haynes Stewart et al., 2011;
Hamm, Perry, Clifton, Chipperfield, & Boese, 2014).
Sarkisian, Prohaska, Davis, and Weiner (2007) developed a mixed method study
designed to test if AR through behavioral interventions could increase walking levels in
sedentary older adults. Using as mixed method design, forty-six sedentary adults aged 65 and
older took part in the four-week intervention which included four weekly one-hour group
sessions followed by a one-hour exercise class. The group sessions taught sedentary seniors that
being sedentary is not inevitable and that they should attribute being sedentary to modifiable
attributes rather than old age. Outcome data was measured seven weeks after the start of the
four-week intervention. Walking outcomes were measured with a Digiwalker pedometer which
calculated the number of steps taken with accuracy within 3%. The pedometer was covered so
that participants would not be influenced by the knowledge of their step count. Quantitative data
recorded that the mean steps per week increased from 24,749 to 30,707, a 24% increase –
equivalent to 2.5 miles (2-sided t-test P=.002). The qualitative results showed that participants
experienced an improved mental health-related quality of life (P=.049) and reported less
difficulty with activities of daily living (P=.04)

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More than 50% of participants reported improvements in pain, energy level, and sleep
quality. Quantifiable support for Weiner’s theory helps strengthen the theory and should lead to
more randomized controlled trials that may show that people can modify beliefs about stressors
and perceived inevitable outcomes leading to positive changes in activity levels.
Hamm, Perry, Clifton, Chipperfield, & Boese (2014) used attributional retraining for
group categorized first-year university students as achievement-oriented, failure-acceptors (low
control, low failure preoccupation) and failure-ruminators (low control, high failure
preoccupation). The results showed that all students benefited from AR, but it was most
beneficial those that had started the study already accepting failure. Failure-acceptors that
received AR developed higher intrinsic motivation, higher grade point averages, and fewer
course withdrawals than those without AR. Students who ruminated on their failures and felt out
of control (failure-ruminators) received no advantage regarding their achievement, yet these
students benefitted from AR to the extent that they altered their dysfunctional emotional profile.
Theoretically, if teachers have had found positive empirical outcomes with student’s success
using AR, certified personal trainers (CPTs) might be able to provide similar results in
motivation, adherence, and compliance when it comes to applying AR with their clientele in the
fitness environment.
Nickel and Spink (2010) conducted two studies to examine associations among past
activity behavior, attributions, and self-regulatory efficacy for maintaining physical activity
sufficient for health benefits. AR was implemented in three phases. First, the causal search
activation asked students to attribute causes for achievement failure. Second, the attributional
induction stage had students watch a short video of two students discussing ways they could
increase academic performance, followed by a professor summarizing the video and reiterating

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the focus of controllable causal explanations. Third, the consolidation phase focuses on
processing the AR content by writing a summary of the video, provide their attributions as to
why the students in the video did poorly, and then more deeply processing the information by
applying the main points of the video to their own lives. The main finding concerned the detail
that specific attributional dimensions significantly improved the prediction of self-regulatory
efficacy over and above past behavior. AR was beneficial to all students but was particularly
advantageous to students who performance orientation identified them as most vulnerable.
Attribution theory and attributional retraining has transcended the field of education, and
has been used in social, psychological, and behavioral sciences, as well as in exercise (Louw,
Biljon, & Mugandani, 2012; Dishman, Jackson, & Bray, 2014; Sarkisian, Prohaska, Davis, &
Weiner, 2007; Weinberg, Hall, & Sverdlik, 2015; Haynes Stewart et al., 2011). The goal of this
study is to see if certified personal trainers find value in and are willing to perform AR after
being exposed its ability to help their clients with exercise motivation and adherence. Additional
goals are to see how fitness clients report increased exercise adherence based on the AR training
they receive from their certified personal trainer.

Self-Determination Theory
Weimer’s attribution-based theory is often used in adult education to identify what
motivates and hinders student’s success (2010). Another type of motivational approach is selfdetermination theory. Self-determination theory (SDT) was developed by Ryan and Deci (2000)
and Deci and Ryan (2000), and is considered one of foremost themes in the psychology of the
motivational process (Ten Cate, Kusurkar, & Williams, 2011; Van den Berghe, Vansteenkiste,
Cardon, Kirk, & Haerens, 2014). There are seven general principles in Ryan and Deci’s work

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according to Ten Cate et al., (2011): (1) humans are growth-oriented and seek progress,
internalize and integrate psyche to build a unified sense of self, incorporate into larger social
constructs, and develop tendencies that can be aroused or impeded by internal and external
forces. (2) There are three needs for psychological growth, wellbeing, and integrity: (i) the need
for autonomy, (ii) the need for competence, (iii) and the need to relate to others. (3) There is a
spectrum of motivation to amotivation (lack of interest) and can be extrinsically or intrinsically
motivated. Extrinsic motivation is based on rewards or punishment. Intrinsic motivation is
engagement in an activity out of interest or inherent satisfaction. (4) An internalization process
of external self-regulations can change the nature of motivation. This allows externally
motivated process the opportunity to become internalized habits that can lead to internal
motivation leading to autonomous self-regulation and worth. (5) Internal motivation requires the
three basic psychological needs listed in principle two: the need for autonomy, the need for
competence, the need for relatedness. (6) High internal motivation is associated with better
learning, better conceptual understanding, and better academic performance, and better wellbeing than high extrinsic motivation. (7) Extrinsic motivation is divided into four sub-groups:
external regulation (conforming to rules that are not believed in, but motivated by punishment to
continue), introjection of regulation (accepting rules made by others), identification of regulation
(understanding the significance of rules made by others), and integration of regulation (the
connection of rule to daily norms and values). External and interjected being the most external
forms of motivation are called controlled self-regulation. Autonomous self-regulation includes
identification and integration as well as full intrinsically regulated behaviors.
Self-determination theory primarily looks at the difference between internal motivation,
such as genuine interest in the topic, versus external motivation that may use rewards and

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punishments to provoke change (Rothes, Lemos, & Gonçalves, 2017). In a study by Rothes et al.
(2017), a sample of 188 individuals enrolled in differentiated educational classes and were given
two different questionnaires during the first week of school. The same questionnaires were given
to the remaining sample of 175 students three months later. After descriptive statistics and
correlations had been measured, a cluster analysis was used to generate four motivational
profiles: high-quantity motivation group, a good-quality motivation group, a low-quantity
motivation group, and a poor-quality motivation group (Rothes, Lemos, & Gonçalves, 2017).
Results showed that clusters of learners with high autonomous (internal) motivation in the onset
of a course score higher self-efficacy behavioral engagement, and deep learning strategies, while
the controlled motivation (external) have poorer results (Rothes, Lemos, & Gonçalves, 2017).
This finding supports the effects of autonomous motivation profile on adults’ self-efficacy, use
of adult learning strategies, and behavioral engagement that focuses on the importance of
facilitating the progressive internalization of learners’ controlled motivation. These results
suggest that educators should create a learning environment where learners have choices, as well
as opportunities to participate and share experiences (Rothes, Lemos, & Gonçalves, 2017). The
suggestion of shared experiences draws on the Knowles assumption of adult learning of
accumulated past experiences because adults do not come to situations as a blank slate (Clapper,
2010; Caruth, 2014; Taylor & Kroth, 2009).
Intrinsic motivation has repeatedly been linked to enhanced performance and outcomes,
but the causal relationship has been unclear (Cerasoli & Ford, 2014). Cerasoli and Ford (2014)
used a three-wave panel study and hypotheses drawn from self-determination theory and
achievement goal theory to clarify the relationship between intrinsic motivation, mastery goal
orientation, and performance. A total of 89 respondents completed questionnaires at the

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beginning, middle, and end of the semester regarding intrinsic motivation (wave 1), mastery goal
orientation (wave 2), and performance behaviors (wave 3). Intrinsic motivation was positively
linked with performance practices, regardless of when in the semester, it was measured. Mastery
goals showed similar results as the intrinsic motivation pattern regarding performance behaviors
and dwindled only slightly over time. Analysis from this study suggests that internal motivation
drives the duration and intensity of behavior while mastery goals give focus and direction to the
position that drive and cognition toward competence-relevant, rather than satisfaction-relevant,
performance actions that predict long-term success. Therefore, intrinsic motivation can increase
mastery goals and vice versa, but mastery goals have a greater effect on performance outcomes.
Additional stressors. Giancola, Grawitch, and Borchert (2009) studied the adult
student’s inter-role conflicts and stressors that come from work, personal life, and school. The
adult students were to determine the degree to which they had experienced stress in each
condition over the past six months. Workplace stressors were ranked considerably higher than
personal life stressors, and personal life stressors ranked significantly higher than school
stressors. Hawk and Lyons (2008) produced an explorative qualitative study to identify if student
learning is affected by their belief if faculty care about them or not. Results indicated that
students who experience teachers modeling caring behaviors might be more willing to adopt an
ethic of care in their lives and become models for others (Giancola et al., 2009). In 2016,
Quiggins et al. conducted a study to determine the motivations and perceived barriers for
nontraditional undergraduate students in the College of Agricultural Sciences and Natural
Resources (CASNR) at Texas Tech University. The nontraditional students that associated their
post-secondary education with a positive task value perceived their intrinsic motivation to be
greater than extrinsic motivation. Nontraditional students attributed institutional barriers such as

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the lack of a nontraditional student office on campus, mentoring programs, and support groups
for nontraditional students as the largest obstacles to continuing their education (Quiggins et al.,
2016). This indicates that nontraditional adult students have high amounts of intrinsic
motivation, but they need supportive environments and mentors that cater to and better
understand that their needs differ from their younger, more traditional, student counterparts.
A study by Louw, Van Biljon, and Mugandani (2012) showed varying stressors and
exercise barriers based on age. They recruited 154 participants (77 females, 77 males) from three
different fitness facilities. Participants exercised an average of four times per week and were
grouped into the following age groups: <25 years, 25-34 years, 35-44 years and >44 years. The
Exercise Motivations Inventory 2 (EMI-2) and the Exercise Causality Orientations Scale (ECOS)
were modified to measure exercise motivators and barriers. The questionnaire was divided into
four sections, demographic information, exercise participation level, motives for exercise, and
barriers to exercise, and employed a 5-point Likert scale ranging from 0 (not at all true for me) to
5 (very true for me) with fifteen exercise motivational themes, and fifteen themes relating to
exercise barriers. Motivational reasons for the under 25 age group was “appearance,” where the
25-34-year age group reported to “feel energized” as their top-ranking response. The 35-44-year
age group listed “weight control” as their most listed response while the above 44-year and up
age group listed “enjoyment” as their top motivator for exercise. This group also listed “manage
stress” as a top response while the under 25 age group listed “manage stress” motive last. As
indicated by the results, barriers to exercise differed among age groups. All groups listed time
restrictions and “other priorities” such as work and family obligations as top-ranking barriers to
exercise. Other restrictions limited to the under 25 age group were “lack of transport,”
“hangover,” and a “rest day” needed between exercise bouts. The two middle adult groups

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agreed that family and work priorities were top barriers. Age 44 and above listed poor health as
the prime reason to not exercise. Overall, differences in barriers and motivators were based on
differences in age, life experience, and gender. Distinct differences between age groups in both
fitness (Low, et al., 2010) and student populations (Giancola, Grawitch, & Borchert, 2009) can
be seen regarding exercise stressors and motivators.

Correlation of Adult Education Research, Exercise Adherence, and Motivation

There are similarities between classroom teachers and certified personal trainers, school
students and training clients, and the motivational constructs and skills that each use to direct and
motivate the individuals to whom they have been purposed. This review seeks to show that
similarities exist between the adult students of higher education and the adult exerciser regarding
motivation and barriers. It is suggested then that the andragogic assumptions proposed by
Knowles can theoretically be applied to students regardless of industry.

Attribution Theory
Attribution theory and attributional retraining has transcended the field of education, and
has been used in social, psychological, and behavioral sciences, as well as in exercise (Louw,
Biljon, & Mugandani, 2012; Dishman, Jackson, & Bray, 2014; Sarkisian, Prohaska, Davis, &
Weiner, 2007; Weinberg, Hall, & Sverdlik, 2015; Haynes Stewart et al., 2011). Weiner’s
attribution-based theory of achievement motivation provides an understanding of why a person
behaves certain ways based on the perceived causes surrounding success or failures for events
that occur (Weiner, 1985). Note that perceived reasons may not be the actual causes of success or

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failure, instead the selected cause that the person attributes success or failure toward. Beacham et
al., (2010), applies schema theory and attribution theory to identify positive exercise outcomes.
A “schema,” like Knowles’ assumption of past experiences, is how a person uses past
experiences to actively process information that forms into cognitive structures (Beacham et al.,
2010). One is “schematic” when attributes are considered extremely self-descriptive and
paramount to self-image. “Aschematic” is when attributes are considered only moderately selfdescriptive and are not crucial to self-image (Beacham et al., 2010).
Beacham et al., (2010) examined the role of exercise schemata related to perceived
success or failure in self-determined exercise goals in 210 adult participants using ACSM
frequency guidelines. Exerciser schematics exercised more frequently, for a longer duration per
exercise session, and reported higher levels of subjective exercise intensity. They also showed
higher levels of self-efficacy, positive outcome expectancies for exercise, and were more than
four times more likely to rate exercise goal attainment success than failure. Internal locus of
control, stable, and personal control (attribution theory components) over exercise were
predictive of exerciser schemata, and schematics were more likely (OR = 24.16) to meet exercise
frequency guidelines. Results show that past experiences and attributions create cognitive
structures or patterns that identify exercise as being schematic or aschematic for participants.
Certified personal trainers can use questionnaires like the ones in this study to better understand
client attributions. Once aschematics have been identified, the trainer can help the client to see if
the barriers they attribute failure to are controllable to change the locus of control toward internal
motives.

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Self-Determination Theory
Self-determination theory (SDT) has become increasingly popular in physical education
research in the past decade (Van den Berghe, Vansteenkiste, Cardon, Kirk, & Haerens, 2014).
Van den Berghe et al. (2014) says “SDT states that for students to be optimally motivated for
physical education, it is critical to support the satisfaction of their innate, psychological needs for
autonomy, competence, and relatedness by being autonomy-supportive, by structuring the
environment [to foster competence], and by creating a warm and solid relationship with the
students” (p. 97).
Teixeira, Carraça, Markland, Silva, & Ryan (2012) performed a systematic review of 66
empirical studies on 72 independent samples (several studies provided multiple samples)
published between 1960-2011 that looked at exercise or physical activity, self-regulation, selfdetermination, and motivation. The majority of the studies included at least one component of
SDT: autonomy, competence, and relatedness. The increase in popularity of SDT is seen by the
fact that 53 of the 66 papers were published in the past five years. Samples were mixed gender
and aged primarily between 25-65 years and applied to a wide range of physical activity settings
including recreational exercise, weight loss programs, and clinical populations. The reviews of
the study included exercise behavior regulations, needs satisfaction, exercise motives, a
perceived need for support, and SDT-based interventions. Only seven studies used SDT-based
concepts as interventions to increase physical activity with six (86%) favoring the SDT group for
perceived autonomy support, need satisfaction, and autonomous and introjected regulations for
exercise, as well as more self-reported exercise. The author of the only study without positive
outcomes argued that the four-week SDT-based intervention for cardiac patients may have

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provided an insufficient number of intervention sessions to achieve between-group differences.
In a more recent study (Rahmana, Hudsonb, Thøgersen-Ntoumanic, & Doustd, 2015), 389
cardiac rehabilitation patients (aged 36–84 years; M age = 64 ± nine years; 34.3% female)
entered a 12-week cardiac rehabilitation program. A total of 243 completed the 12-week
intervention (62.5%) of twice weekly 60-minute exercise classes. Increases in autonomy
satisfaction predicted positive changes in behavioral regulation. Improvements in competence
and relatedness satisfaction predicted improvements in behavioral management and well-being.
Competence positively predicted habitual physical activity. This study highlighted that the
perception of needs satisfaction and SDT motivation improved well-being during a structured
cardiac rehabilitation program and long-term physical activity.
The Teixeira, Carraça, Markland, Silva, & Ryan (2012) review showed positive results
between more autonomous forms of motivation and exercise. The autonomous motives better
increased short-term implementation of exercise than intrinsic motivation. However, greater
intrinsic motivation was more predictive of long-term exercise adherence and a better predictor
of adherence across a greater range of samples and settings. Intrinsic motivation is thought to be
increased by emphasizing fun, skill improvement, personal accomplishment, and excitement
while exercising. However, Teixeira et al. (2013) found a concern regarding intrinsic motivation
for exercise due to mundane or repetitive nature of activities and copious amounts of effort, so
extrinsic motivation based on outcomes may lead to higher persistence than exercising for fun,
enjoyment, or seeking a challenge.

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Self-Determination Theory in Older Adults
Many certified personal trainers engage with clients of various ages including an older
adult population. An exploration of research performed by Minyoung et al. (2016), looked at a
self-determination-based intervention for a group of older individuals (n = 18; 67.50 ± 3.79
years). More than half of the subjects reported having never engaged in a regular exercise
program (n = 12), with a reported average duration of exercise for the remaining six participants
as 7.8 minutes per day, 1.3 days per week. The exercise intervention group engaged in physical
activity two days per week for 13 months. A total of 89 sessions were completed with attendance
recorded at each class. Self-determination strategies were provided for autonomy, competence,
and relatedness. Autonomy interventions included: (1) choice over the type of exercise, (2) given
meaningful rationales for the exercise options, and (3) acknowledgment of the participant’s
feelings and perspectives. Competency strategies included: (1) appropriate challenges, (2)
regular sharing of results to see progress from baseline, and (3) provide goals and plans every
three to four months for decreases in weight, blood pressure, and body fat, and for increases in
balance, lower extremity strength, and aerobic endurance. Relatedness strategies were designed
to build support between other participants as well as rapport with the researchers. At seven
months, the exercise completion rate was 100% and 94.44% at 13 months. Exercise attendance
was 84.47% at seven months and 82.52% at 13 months, with one participant dropping out after
completing two-thirds (66%) of the interventions. At 13 months compared with seven months,
intrinsic motivation was found to be the greatest motivating influence, with an increase of 20%
in intrinsic motivation and a decrease of 26% autonomously driven external motivation.
Significant improvements were measured at the end of 13 months in all physical fitness
categories tested compared to baseline: 30-s chair-to-stand test (p < .001), 2-min step test (p <

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.001), 8-foot up-and-go test (p < .001), and arm curl test (p < .001). The increase in fitness
outcomes is unsurprising considering the participants did not engage in regular exercise at the
time of recruitment and most had never exercised regularly. The most remarkable part of the
study is that of the 18 individuals that had never or rarely exercised, 17 completed the 13-month
intervention of two 1-hour weekly group exercise classes. The only subject that dropped out
completed two-thirds of the total number of class interventions (66%) before leaving the group.
Duda et al., (2014) compared SDT intervention with a fitness center’s standard practice.
Three hundred forty-seven participants referred to exercise by their physician enrolled across 13
fitness facilities in a large city of the United Kingdom. Six of the facilities (184 people) were
randomly selected to give the SDT intervention, while the remaining seven (163 people) were
provided current standard practice. Ninety percent of the participants were measured to be
overweight or obese. The SDT interventions included a group and one-on-one training
discussing highlights of SDT theory, autonomy strategies, self-management physical activity
promotional booklet, and presented examples of SDT consultations are performed. Discussion of
SDT consultations was based upon the integration of physical activity with life values.
Discussions also included normalization of failure and recalibration of implemented plans. The
fitness advisor encouraged participants to consider how they intended to become more active,
how to implement activities, and where and how they could find social support regarding
exercise engagement. They were also given a manual on how to manage their own exercise and
be more autonomous regarding physical activity. Physical assessments including blood pressure,
weight, and body mass index were performed.
Questionnaires were taken at baseline, three months, and six months to assess perceived
physical fitness, quality of life, emotional problems, daily activity, overall health, and changes in

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health. The standard provision group provided support “as needed” over the course of the study.
At the three-month follow-up, the SDT group self-reported an increase of moderate/vigorous
physical activity increased by 196 minutes and other physical activity excluding walking
increased by 110 minutes from baseline. The standard provision group reported an increase of
187 minutes of moderate/vigorous physical activity and other physical activity excluding
walking increased by 112 minutes from baseline. At six months, the SDT group self-reported a
114-minute increase in moderate to vigorous physical activity and 61-minute increase in physical
activity excluding walking from baseline. The standard provision group self-reported an increase
of 120 minutes of moderate to vigorous physical activity and 73 minutes of physical activity
excluding walking. At the end of six months, both groups saw significant increases in physical
activity from baseline.
The authors hypothesized that the SDT intervention group would sustain the long-term
increase in physical activity beyond the standard control group, but this was not so. Authors
claimed there was no difference in the SDT group control group, but indeed the standard
provision group, the group with available fitness professionals present for support, did provide a
higher number of self-reported minutes to the blinded interviewer. While both groups of
participants showed excellent success, it is important to acknowledge that the presence and
support of fitness professionals play a significant role in exercise adherence. It is possible that
older adults react differently than their younger or middle-aged counterparts, so additional
research would be required to see if the presence and support of fitness professionals continue to
play a role in exercise adherence for those populations. However, the findings are encouraging
and may immediately be put to the task by supportive staff within exercise facilities.

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The Role of the Fitness Professional
Over the past 18 years, the percentage of adults aged 40-70 who exercise at least 12 times
per month or more has decreased from 53% to 43% (King, Mainous, Carnemolla, & Everett,
2009). Other factors during the same timeframe show an increase in body mass index (BMI)
from 28% to 36% (P <.05), smoking rates relatively unchanged (26.9% to 26.1%), eating five or
more fruits and vegetables a day decreased from 42% to 26% (P <.05), and moderate alcohol use
has increased from 40% to 51% (P <.05). Adherence to all five healthy habits has gone from
15% to 8% (P <.05) (King et al., 2009). Though there are many factors in need of support, the
role of the fitness professional has shown marked influence on exercise adherence (Carpenter
and Gilleland, 2016; Abildso, Zizzi, & Reger-Nash, 2010; Gilleland et al., 2006). This section
will look at the impact that the fitness professional has on exercise adherence, compliance, and
motivation.
Carpenter and Gilleland (2016) performed a study with a group of 77 obese (BMI ≥25)
adults (ages 18-70; mean age 46.5) with a comorbid condition such as metabolic syndrome,
diabetes, hypertension, heart disease, or sleep apnea. The study was divided into two phases.
Phase I was a supervised exercise program where the subjects would work one-on-one with an
exercise physiologist each time they visited the gym. This phase design was implemented for the
first three months of the 12-month study. Phase II was designed to allow the subjects to selfmanage their exercise program with a fitness professional present for consultation if needed. This
phase lasted from month four to month 12. Adherence was defined as attending the gym at least
eight times per month which required a sign-in, being weighed, and have pre- and post- vital
signs (blood pressure and heart rate) measured by the gym staff each session. Of the 77 phase I
participants, 58 (77.3%) completed the first three months of programming with 40 (69%)

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adhering to the program attendance requirements. Twenty-four participants (41.4%) continued to
phase II for an additional nine months of unsupervised exercise programming. Only eight people
(33.3%) finished the full course of the study with a single individual completing the program’s
attendance requirements of eight visits or more per month.
The health factor results from the Carpenter and Gilleland (2016) study showed that
participants that completed the eight visits per month for three months of supervised fitness
training in phase I gained significant improvement in all eight fitness indicators considered.
Phase I participants that attended less than eight sessions per month showed improvement in four
of eight fitness indicators including self-reported fitness level, weight, BMI, and percent body
fat. Interestingly, the stressors and barriers to completion of the program such as health history
data including comorbidities, symptoms, habits, perceived tension, job stress, and fitness level
were not significantly associated with adherence. Instead, self-reported symptoms of swollen,
stiff, painful joints (p = .01), and swollen ankles and legs (p = .02) were associated with
decreased adherence to exercise.
Abildso, Zizzi, and Reger-Nash (2010) organized a similar study, but with a much larger
sample, with phase I providing supervised support for the first three months, and phase II lasting
an additional nine months without supervision. There were 1,647 individuals across 23 fitness
locations in West Virginia that participated in phase I with 76.5% of participants completing the
initial phase. Those that completed phase I marked significant weight loss with a mean average
of 13 lbs. Of those that progressed to phase II, 762, a total of 348 (45.7%) made it through the
completion of the program. These participants lost an average of 20.9 lbs. from baseline. With
low individual maintenance through the program, it is important to discern additional selfmanagement strategies that can positively influence exercisers to complete a long-term program

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and make lifestyle changes that can last. Further review of common teaching and motivation
strategies already being implemented with the world of adult education may allow for insight for
addressing behavioral change in the exerciser.
Combined, the results of these studies show increased adherence when in the presence of
personal trainer supervision. However, an argument can be made that adherence was easier
because during the first three months when personal training services were made available, was
at the start of the program when excitement and willingness to commit is elevated. The nine
months of unsupervised exercise (phase II) following the initial three months of supervised
exercise (phase I) may certainly increase attrition rates in exercisers due to time and loss of
interest. The presence of an exercise supervisor did provide needed support and adherence during
the initial phase of the study.
In 2006, Gilleland et al. ran a three-month study comparing the presence of personal
training services, along with other interventions, to a control group without. West Virginia’s state
insurance agency sponsored the study because they have experienced a $40 million increase in
obesity-related illness over the last decade. The intervention, supervised group (n=14) worked
with certified personal trainers (CPTs) three times per week, kept a food log, met with a
registered dietician twice, and an exercise physiologist once over the course of three months. The
control group (n=25) had access to speak with an exercise physiologist without support or
guidance as CPT but could pay to enroll in other programs or services. Adherence (showing up)
outcomes for the intervention group was 77%. Of that number, compliance (following the
program) was 83%. Control group adherence was 52% with a compliance rate of those that
adhered to the program of 67%. The intervention group decreased BMI (40±9 to 37 ± 8), and
weight (241 ± 59lbs to 220 ± 54lbs; P <.05), resulting in an 8.2 ± 2.5 % decrease in body weight.

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Courneya et al. (2012) compared supervised and unsupervised exercise to examine
predictors of exercise adherence in a randomized control trial. The trial involved 320 sedentary,
postmenopausal women, with 160 randomized into the exercise intervention group to determine
if a 12-month exercise intervention could positively alter biomarkers associated with breast
cancer risk. The control group was asked not to make any change to their exercise behavior. The
exercise intervention was to participate in 200 minutes per week of moderate to vigorous
walking over the course of a year with approximately 123 of the 200 minutes occurring three
times per week under supervision at an exercise facility. Two walking sessions per week were to
be unsupervised, totaling 77 minutes, at a location they desired. Upon completion of the study,
the supervised portion of the walking intervention logged an average of 117 of 123 minutes per
week (95%) while the unsupervised portion charted an average of 61 of 77 minutes per week
(79%). There is no mention of participant dropout which is significant itself on a one-year trial.
Forty-five percent of participant exceeded the trial goal of 200 minutes per week, and 79% could
exercise at Canadian public health guidelines of 150 minutes per week. Overall, the supervised
programs provided superior exercise adherence than did the unsupervised portions. This study
provides positive support for supervision of a fitness professional.
The studies reviewed in this section identified those professionals administering
instruction and testing as certified personal trainers, exercise physiologists, and fitness
professionals. Though each of these professionals may have differences in scope, they were often
present as educated supervisors and support for exercisers. It is possible that the source of
supervision and support can also be applied to group instructors, coaches, and other fitness
professionals to increase exercise adherence.

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Conclusion

There are numerous theories and models with varying amounts of theoretical and
empirical evidence that education implements to increase student outcomes (Taylor & Hamdy,
2013). There is also some theoretical and empirical evidence that these same evidence-based
techniques used in education have been used in fitness be certified personal trainers. Most people
understand that exercise is an integral part of being healthier and losing weight. Knowles
assumptions on andragogy support that these adults are problem-centered and that they know
why they need to exercise, but the individual may lack other needed assumptions to engage in
regular exercising, such as self-direction, internal motivation, and overcoming poor past
experiences that make it difficult make to participate in consistent healthy activities.
Attributions as to why an individual believes they are an unsuccessful regular exerciser
may help fitness professionals better understand how to navigate client assumptions and lead
them toward better motivations and outcomes, just as it does for students (Weiner, 2010).
Resistant exercisers may focus too much on outcomes that are too grand to achieve in the shortterm leading them to see their idealized outcome as unattainable. Using Weiner’s attributionbased theory and attributional retraining, the fitness professional can help teach clients that being
sedentary is not inevitable and that they should attribute their situation to modifiable attributes
rather than uncontrollable factors (Sarkisian, Prohaska, Davis, & Weiner, 2007). Though the
difficulty of the task before them and their ability may be uncontrollable, the effort and
commitment put into achieving their goals is controllable (Weiner, 1985). The small, attainable
wins may help increase intrinsic motivation leading toward a genuine interest in increased
activity rather than a sole focus on extrinsic, outcome-based, extrinsic motivation to exercise.

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This approach may increase adherence by allowing small accomplishments to lead to increased
adherence to achieve larger goals.
As certified personal trainers empathetically listen and engage with their clients they may
then be able to provide Weimer’s (2013) learner-centered approaches to help clients.
Approaches include (1) do more learning tasks, (2) more discovering, (3) create well-designed
learning experiences, (4) learn from a skilled coach, and (5) learn from the trainer as well as
show the fitness professional insights of their own. Just as teachers educate the way that is
easiest for them (lecture), certified personal trainers may train clients in a way that is easiest for
them. This may include providing each client the same workout program or having each client
train in a way that closely mimics the fitness professional’s own workouts. Learner-centered
teaching can direct the fitness professional’s focus toward client goals, relevant tasks to attain
those goals, good client experiences about the exercise programming, and client-provided
feedback that can allow two-way learning help to increase the professional’s understanding and
skillset.
Self-determination theory has been implemented successfully in educational settings
(Rothes, Lemos, & Gonçalves, 2017; Cerasoli & Ford, 2014) as well as physical activity settings
(Minyoung et al., 2016; Duda et al., 2014). The motivational components that lead to these
increased outcomes focus on autonomy, competency, and relatedness to others. Both students
and exercisers want to be able to engage in study and exercise without the need of a teacher or
fitness professional there to give direction. However, it is a skilled approach that both the teacher
and trainer can develop a student and client to need their services less often. Competency is the
component that states both students and fitness clients want to establish an elevated performance
aptitude. The final element of the self-determination theory states that people want a sense of

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relatedness. Some students and clients may get a sense of relatedness from their respective
instructors, while those instructors should encourage the learners to seeks relatedness with their
own peer group which can increase their sense of approval and behavioral control (Herrmann,
2015).
Teachers are an integral part of student’s educational experience, and their supervision
plays a significant role in the student adherence to tasks such as homework and in-class projects.
Supervision of fitness professionals (including CPTs) has shown marked increases in exercise
adherence and motivation (Abildso, Zizzi, & Reger-Nash, 2010; Carpenter and Gilleland, 2016;
Courneya et al., 2012; Gilleland et al., 2006). Though techniques, applications, models, and
theories may vary in the research, the presence of a personal trainer appears to be the primary
factor in exercise adherence among the trials.
Several theories and models from adult education are applied to exercise adherence and
motivation including andragogy, attribution theory, attributional retraining, and selfdetermination theory. With these supported systems in adult education, a theoretical correlation
can be made between the teacher/student relationship and the fitness trainer/client relationship to
increase exercise adherence and motivation.

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AMEE Guide No. 59. Medical Teacher, 33(12), 961-973.
https://doi.org/10.3109/0142159X.2011.595435
Tønseth, C. (2015). Situational triggering factors – Adult's “readiness to learn”-connected to
certain life-stages and age?. Procedia - Social and Behavioral Sciences, 174
(International Conference on New Horizons in Education, INTE 2014, 25-27 June 2014,
Paris, France), 3330-3341. https://doi.org/10.1016/j.sbspro.2015.01.1001

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Van den Berghe, L., Vansteenkiste, M., Cardon, G., Kirk, D., & Haerens, L. (2014). Research on
self-determination in physical education: Key findings and proposals for future
research. Physical Education & Sport Pedagogy, 19(1), 97-121.
http://www.tandfonline.com/toc/cpes20/current
Weimer, M. (2013). Learner-centered teaching: Five key changes to practice (2nd ed.). San
Francisco, CA: Jossey-Bass.
Weinberg, L., Hall, N. C., & Sverdlik, A. (2015). Attributional retraining and physical
rehabilitation in later life: Intervention effects on motivation, mobility, and wellbeing. Physical & Occupational Therapy in Geriatrics, 33(4), 294-302.
https://doi:10.3109/02703181.2015.1084410
Weiner, B. (1985). An attributional theory of achievement motivation and emotion.
Psychological Review, 92(4), 548-573. Retrieved from http://www.apa.org
Weiner, B. (2010). The development of an attribution-based theory of motivation: A history of
ideas. Educational Psychologist, 45(1), 28-36.
https://doi.org/10.1080/00461520903433596

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Appendix B
Problem Statement

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110

Motivational strategies assisting adult student’s adherence in academics has been a
common source of research for decades (Birzer, 2004; Cross, 1981; Knowles, 1975, 1980, 984a,
1984b; Knowles, Holton, & Swanson, 1998; Stockdale & Brocket, 2011). However, little
research exists to support how personal trainers can best motivate behavioral changes leading
adult clients to overcome barriers and increase adherence and self-directed fitness engagement
(Fjeldsoe, Neuhaus, Winkler, & Eakin, 2011; Saida, Juul Sørensen, & Langberg, 2017). Though
there are obvious differences between adult education and physical activity, attribution theory
(AT) (Weiner, 1985; Weiner, 2010) is an education-based motivational construct that has
reported positive outcomes in education and exercise adherence by overcoming barriers to
fitness-related success (BFRS) via attributional retraining (Haynes et al., 2006; Haynes et al.,
2008; Dishman, Jackson, & Bray, 2014; Sarkisian, Prohaska, Davis, & Weiner, 2007).
Attributional retraining teaches individuals to focus on changeable elements within their control,
such as effort, and develop strategies to increase motivation to overcome BFRS (Weiner, 1985).
Personal trainers may be familiar with common BFRS such as clients being too tired,
lack of time, lack of enjoyment, lack of desired outcomes, laziness or unwillingness, lack of
social support, no facility close by, lack of direction, and “other priorities” (Dishman, Jackson, &
Bray, 2014; Gómez-López, Gallegos, & Extremera, 2010; Louw, Van Biljon, & Mugandani,
2012). The specific problem in the fitness community is that many clients lack the motivation to
adhere to exercise due to BFRS. Personal trainers are likely unfamiliar with AT or how to
implement attributional retraining (AR) to help motivate clients to overcome these barriers. This
research will contribute to the literature by providing AT and AR training to personal trainers
and by receiving feedback from them on their perceived value of its applications,
implementations, and adherence-based outcomes in their fitness clients.

PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING
Appendix C
Additional Methods

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Appendix C1
Event Brochure

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113

Attributional Retraining-Motivation Science: Research validated strategies
and theories to help motivate clients to exercise

Description:
Motivation for people to adhere to
exercise regimens is in short supply
and there is little research that helps
increase
exercise
adherence.
However, the field of education has
numerous
research-validated
strategies that we will explore and
apply to personal training to get our
clients to show up, workout on their
own, and do programming we
provide.
This is part of a doctoral
dissertation. Feedback
from
participants may be used as part of the
presenter’s doctoral dissertation.
FREE for Certified Personal Trainers

Attribution Theory and
Attributional Retraining:
‣ “I don’t have enough time”
‣ “I don’t know what to do”
‣ “I cannot get to the gym”
When: TBA
Where: TBA
Appendix C2
Time: TBA (four hours)
Informed Consent
Other: Free CEC’s = NASM 0.4
Presenter: Rick Richey
richey@calu.edu
646-207-5190

PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING
Appendix C2
Informed Consent

114

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115

This informed consent form is for selected certified personal trainers in the New York City area
participating in the attributional retraining workshop titled “Attributional Retraining-Motivation
Science: Research validated strategies and theories to help motivate clients to workout”.
Principle Investigator:
Organization:
Dissertation Title:

Rick Richey
California University of Pennsylvania
“The Perceptions of Certified Personal Trainers on the Value of
Attributional Retraining: A Case Study”

This research is the dissertation component performed in partial fulfillment of a doctoral degree in
health science (DHSc).
This Informed Consent Form has two parts:
• Information Sheet (to share information about the study with you)
• Certificate of Consent (for signatures if you choose to participate)

Part I: Information Sheet
Introduction
I am Rick Richey, a doctoral candidate at California University of Pennsylvania. I am doing
research on personal trainers’ perceptions of client motivation and exercise adherence. You may
speak with anyone you feel comfortable talking with about the research and you may take time to
reflect on whether you wish to participate or not. If you do not understand some of the words or
concepts, I will take time to explain them as we go along, so feel comfortable to ask questions at
any time.
Purpose of the research
There are many barriers to fitness-related success for personal training clients. I want to find out
what you currently do with clients to increase motivation toward exercise adherence. I also want
to provide some evidence-based research about a specific method of success motivation used in
adult education called attribution theory and attributional retraining. Then I want to get feedback
about your perception of this intervention regarding its value in helping clients overcome barriers
to fitness related success and increase motivation and exercise adherence.
Type of Research Intervention
The research intervention is the workshop that you have already signed up to take on the topic of
client motivation entitled, “Motivational Science: Research Validated Strategies and Theories to
Help Motivate Clients to Workout.”
Participant Request and Selection
You have been selected to participate in this research because you are a certified personal trainer
signed up to take the workshop on how CPTs can motivate clients to increase exercise
adherence. I believe that you can contribute much to our understanding of the perceived value of
this type of training.

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Duration and Time Commitment
The research will take place over a three-month period in total. During that time, we will have a
pre-workshop interview, a workshop, submission of documentation/information about your
training, observation of you working with your client(s), and a final interview after the
observation session.
Pre-workshop interview
Workshop attendance
Documentation
Trainer/client observation
Post-observation interview
Member (fact) checking

- Approximately 30-45 minutes
- Four hours
- Approximately five minutes (if already prepared) to 6o minutes
- Approximately 15-20 minutes
- Approximately 30-45 minutes
- Approximately 5-10 minutes

Voluntary Participation
Your participation in this research is entirely voluntary. It is your choice whether to participate or
not. If you choose not to participate, you are still welcome to attend the “Motivational Science:
Research Validated Strategies and Theories to Help Motivate Clients to Workout” workshop.
Participation will have no bearing on your job or any work-related evaluations or reports. You
may change your mind later and stop participation even if your previously agreed.
Confidentiality
The confidentiality of data with respect to both information about you and information that the
you share is a high priority. I will not share information about you with anyone.
Right to Refuse or Withdraw
You do not have to take part in this research if you do not wish to do so, and choosing to
participate will not affect your job or job-related evaluations in any way. You may stop
participating in the interview at any time that you wish without your job being affected. I will
give you an opportunity to review your remarks after both interviews are completed, and you can
ask to modify or remove portions of those interviews at that time if you do not agree with my
notes or if I did not understand you correctly.
Procedures – What You Will Be Asked to Do
1. First Interview - I want to have a meeting with you prior to the workshop (intervention)
and ask you 10 questions regarding how you, as a certified personal trainer, motivate
your clients to adhere to exercise. The interview questions will be open-ended and may
lead to deeper discussion. However, the interview should take no longer than, and will be
limited to, 30-45 minutes. This interview will be audio recorded.
2. Intervention - You will attend the four-hour workshop on a motivational technique
called attribution theory and its application called attributional retraining. This workshop
will provide the motivational information that will be the basis of the future session
observation followed by second interview.
3. Documentation – I will ask you to send me documentation about you as a trainer so that
I understand. These documents may include your web address, training philosophy,
training vision, and/or mission statement

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117

4. Observation - Three months after the workshop, I want to follow up with you in person
as you interact with a client specifically about attributions retraining during your session.
This session should take no longer than 15 minutes of observation and can be scheduled
during, before, or after your session.
5. Second Interview – After the observation, we can either engage in the final interview, or
I will reach back out to you to schedule a phone call. The final interview will be
comprised of 10 open-ended questions lasting approximately 30-45 minutes. During this
interview, I want to ask for feedback about your perception of the information provided
in the workshop, how you have applied the information, and how you think your clients
have responded to attributional retraining. This interview will be audio recorded.
6. Member checking – After all the information has been complied, I will contact you by
phone and let you know what I have written down based on our interview to make sure I
have not made mistakes. You may also make any final adjustments or additions to your
statements.
Comfort with the interview:
I will be the researcher conducting the interview in a one-person to one-person phone call. I will
make sure that you are comfortable and ready to begin and will answer any questions about the
research that you may have. If you do not wish to answer any of the questions during the
interview, you may say so and I will move on to the next question. I will be the only person on
my end of the phone, but you have someone else present on your end if it aids with comfort in
answering the questions. The information recorded is confidential, and no one else will have
access to the information documented during your interview. The entire interview will be
documented through notes that I take, but no-one will be identified by name. My notes will be
kept safely locked via access code on my computer.

-

Example Interview Questions:
What are some of the ways that you motivate your client to exercise while not under your direct
supervision?
What are some of the barriers to fitness-related success that your client experience?
You will be asked to engage in a discussion that leans on your experience and knowledge as a
certified personal trainer (CPT). Your answers may lead you into deeper discussion of this
specific topic or touch on related topics.
Risks and discomforts
There is little risk in participation, but it is possible that you may feel uncomfortable talking
about some topics or answering specific questions. You do not have to answer any questions or
take part in the interview if you feel the questions are too personal or talking about them makes
you uncomfortable. There may be unknown and unforeseeable risk that arise from participation
in this research. Though risk is minimal, please not that all human subjects retain autonomy and
the ability to judge for themselves what risks are worth taking for furthering scientific knowledge
(Bloomberg, 2016, p. 162). If a research-related injury does occur, please contact the researcher
and dissertation advisor immediately.

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118

Benefits
There are very few studies that focus on the profession of personal training, and fewer still on
attributional retraining in the fitness industry. There may be no direct benefit to you, but your
participation is likely to help us find ways to help certified personal trainers better motivate their
clients and increase exercise adherence through attributional retraining. Your feedback may lead
to more in-depth studies as well as implementation of these strategies into personal training
credentialing.
Reimbursements
You will not be provided any incentive to take part in the research. I am asking for
complimentary help in understanding more about your perceptions of the workshop content and
how it may affect client motivation and exercise adherence.
Records and Documentation
The information from this research project will be kept private. Any information about the
participants will have a numeric place holder instead of their name. Only the researcher will
know whose number correlates to everyone, and that information will be locked away by a
complex digital password in files on my computer. It will not be shared with anyone expect my
dissertation committee. After three years all documentation, paper or digital, will be destroyed.
Sharing the Results
Nothing that you tell me will be shared with anybody, and nothing will be attributed to you by
name. The data from this research will be anonymous and may be shared with the fitness
community via lecture, classwork, courses, and other educational platforms. I will seek to
publish the results so that other interested people may learn from the research.
Specific Considerations
In case of emergency, participation in this study may be terminated by the investigator at any
time without the consent of the participant. If you decide to withdraw from the investigation,
please send an email letting me know.
Inclusion Criteria
Inclusion criteria for clients include participation in trainer-lead attributional for at least four
weeks, 18 years of age or more, informed consent, speak English, and willingness to share their
experience without coercion by the researcher or trainer.
Who to Contact
If you have any questions about this research or your rights you can ask them now or later. If you
wish to ask questions later, you may contact me directly.
Rick Richey
richey@calu.edu
646-207-5190

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My dissertation chair is Dr. Brian Oddi. He works at California University of Pennsylvania and
is supervising me on the research. You can contact him at: oddi@calu.edu
This proposal has been reviewed and approved by California University of Pennsylvania
Institutional Review Board (IRB), which is a committee whose task it is to make sure that
research participants are protected from harm. If you have questions about your rights in the
research, or if a problem has occurred, or if you are injured during your participation, please
contact the Institutional Review Board at:
Do you have any questions?

Part II: Certificate of Consent
Statement of Consent:
I have read the above information and have been given the opportunity to ask questions and
those questions have been adequately answered. I consent to participate in this study.
Print Name of Participant: ____________________________________________________
Signature of Participant: ______________________________________________________
Date: ___________________________
Day/month/year
Statement by the Researcher:
I, Rick Richey, have accurately laid out the information sheet to the potential participant, and to
the best of my ability made sure that the participant understands that the following will be done:
1. Pre-workshop interview
2. Workshop
3. CPT documentation
4. Observation of training session using the methods from the workshop
5. Post-workshop interview
6. Member checking via phone
I confirm that the participant was given an opportunity to ask questions about the study, and all
the questions asked by the participant have been answered correctly and to the best of my ability.
I confirm that the individual has not been coerced into giving consent, and the consent has been
given freely and voluntarily.
A copy of this consent form has been provided to the participant.
Name of Researcher: Rick Richey
Signature of Researcher /person taking the consent: __________________________________
Date: ___________________________
Day/month/year
Approved by the California University of
Pennsylvania Institutional Review Board.

This approval is effective nn/nn/nn and

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Appendix C3
Email Request for Interview

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121

Subject line: Motivational Science workshop: This is a request for your participation in my
research study.
Dear _________,
Thank you so much for signing up to take the Motivational Science workshop at (TBA location)
on (TBA date). I am writing to ask if you would be willing to volunteer, as a participant in the
workshop, in my dissertation research study. The extension of the workshop for the research will
involve the following:

Before the workshop:

- approximately 30-45-minute phone call interview

Workshop attendance:

- Motivational Science workshop - four hours

Three months after the workshop:
Documentation

Trainer/client observation
Post-observation interview

- Your website, training philosophy, and/or mission
statement as a means of understand your training outlook
and purpose and how they relate to client motivation and
success
- 15-20 minutes in person observation as you perform
methods learned in the workshop
- approximately 30-45-minute in person interview, or
phone interview within a week of the session observation.

Your participation will be greatly appreciated and will contribute to the certified personal
trainer’s understanding of exercise motivation, and exercise adherence for their adult clients. If
you are interested, please respond to this email to schedule time to interview you before
attending the workshop. The phone interview will last 30-45 minutes and will be recorder.
If you agree to participate, I will send an informed consent form that must be read, signed, and
returned via email prior to our interview. You may sign electronically or send a photo of the
signed page back to me via email.
Thank you for your consideration and contribution to the evidence and profession!

Rick Richey, MS, LMT

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Appendix C4
Pre-Workshop Interview Questions

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123

Pre-Workshop Interview Questions (review wording)
1. Explain your familiarity with attribution theory or attributional retraining?

2. What are some of your clients’ perceived barriers to fitness-related success?

3. Why might clients in general have difficulty adhering to regular exercise outside of their
training session with trainers

4. Regarding the answers given above, what do you think your clients expect the reasons
they do not exercise on their own throughout the week will change? Why or why not?

5. Do you believe your client have control over their ability to exercise on their own? Why
or why not?

6. Do you think your clients are more motivated by others (husband/wife, friends, social
media, etc. [external motivation]) or by self (internal motivation)? Why or why not?

7. If your clients did perform an exercise routine on their own, do you think your clients
would feel positive/happy, negative/frustrated/sad, or

8. Do your clients blame themselves or some external reason for their failure to exercise on
their own?

9. When they do exercise on their own do they attribute that success to ability, effort,
strategy, or ease or difficulty of the task, or luck?

10. What can reasonably change for your clients to adhere to exercise on their own?

PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING
Appendix C5
Workshop Presentation

124

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PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING

Rick Richey, MS, LMT

Attribution Theory and
Attributional Retraining
in Personal Training

Introduction, purpose of workshop and expectations
regarding dissertation
0 – 15 min
Precursors to attribution theory
16 – 30 min
Attribution theory
31 – 1:30 hr

Itinerary

Attributional retraining
1:31 – 2:15 hr
Breakout session
2:16 – 3:00 hr
Applying AR and AT to clients
3:01 – 3:45 hr
Review and wrap up
3:46 – 4:00 hr

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What is an
”attribution?”

To what do
people most
attribute
exercise
failure?

Don’t know
what to do

Tired

Time

Different
equipment

Injury

No support
Friends &
Family

Motivation

Habit

Change (in
routine)

Attitude

Pain of
Bad
exercise or the Experience /
change
associations

Paradigm of
what fitness is

Social
pressure /
uncomfortable
in front of
people

Priority
Family
Work
Schedule

Accessibility
Money
Environment
Life status

Answers provided participants during workshop

PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING

• We may associate with a sports team
• When WINNING = ”We WON!!”
• When LOSING = “They were terrible our there!”

• Exercise related attributions protect the ego.

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PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING

• Attribution theory helps us
understand how current
attributions can affect future
motivation.
• ”It’s pointless”
• “I worked my butt off with a trainer and still
didn’t lose weight.”
• “I’ve never been good at exercising.”

Law of
Effect

Motivational
theories
preceding AT
DRIVE
THEORY

Behaviors previously rewarded will be repeated.
Behaviors that are punished will be avoided or
extinguished.
(Thorndike, 1911)

Behaviors are governed by Drive × Habit (and
incentives).
Behavior is motivated by bodily needs X strong
related behavioral patterns strengthened by
rewards.
(Hull, 1943; Spence, 1956)

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PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING

• Motivation is also determined by individual
differences(motives). Motive × Expectancy ×
Value. The motive Fishbein primarily embraced
was the need for achievement.
• Incentive (value) is conceptualized as an affect,
pride in accomplishment (here I consider only
approach motivation and positive affect). Thus,
affects other than general pleasure/pain were
incorporated into the conception.
• Incentive (value) is inversely related to
expectancy of success so that pride is presumed
to be greater given success at a difficult task
(low expectancy of success) than at an easy task
(high expectancy of success).
• Quote from Weiner’s paper 2010

Attribution Theory
Develops

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PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING

Ability
Determinates
of Behavioral
Outcomes

Effort
Task Difficulty
Luck

Three
Causal
Dimensions /
Consequences
of AT

Stability
Locus of Control
(location)

(duration – will the
situation change,
and if so, when?)

Controllability
(controllable or
uncontrollable to
the person)

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PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING

Internal Ability
locus Effort

Causal Locus
Task difficulty

External Luck / Higher Being
locus • Causal locus related to pride and self‐esteem

Mastery

Intrinsic
Motivation
Elevator
P

ose
p
r
u

Au
ton
om
y

PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING

Expectancy
Determinates
of Action

Pride

Ability and Effort

132

PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING

• Stable – the cause of attribution will NOT
change over time

Causal
Stability
(duration of
the cause)

• Unstable – the cause of attribution WILL change
over time

• Causal stability related to expectancy shifts
and the extent of hope, hopelessness, and
helplessness.

• Within ones own control

Causal
Controllability

• Not within ones own control

• Causal control is linked with affects
including shame to uncontrollable causality,
and guilt and regret to controllable causes.

133

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134

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PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING

LOCUS
INTERNAL LOCUS

EXTERNAL LOCUS

(focus on self)

(focus on others / external)

Controllable

Uncontrollable

Controllable

Uncontrollable

STABILITY
Stable

Effort – often long
term
A desired attribution

Unstable

I can’t
‐ Skills
‐ Knowledge
‐ Strategy
‐ Temporary effort
‐ Temporary situation
A desired attribution

“I can’t help it and it
won’t change”
‐ Aptitude or Ability
(considered to be innate
and unchangeable)
‐ Most dangerous
attribution regardless of
positive or negative

‐ Client cannot control ‐ Difficulty of
or influence change to
process to reach
the external causes
goal
‐ Task difficulty

‐ “I can’t help it but
it WILL change
eventually”
‐ Short‐term

‐ Client CAN control or ‐ Chance
influence change to
‐ Luck
external causes
‐ Deity
intervention(?)
‐ Guilt / shame
‐ Weather
‐ PRIDE

‐
‐
‐

Injury
Health
Mood (?)

PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING

BREAK OUT
SESSION

• Breakout into groups
• Identify examples of how client attribute /
blame according to causal
• Locus (internal or external)
• Stability (stable or unstable)
• Controllability (controllable or
uncontrollable)

Intrapersonal
Theory

• “People are scientists trying to understand
themselves and their environment and then act
upon the basis of this knowledge (Weiner, 2000,
p. 2).”
• Feel / Think / Feel / Act

136

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PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING

Interpersonal
Theory

FEEL

THINK

• “Others are judges determining if others are
innocent or guilty (Weiner, 2000, p. 9).”
• Feel / Think / Feel / Act

ATTRIBUTE / BLAME

AFFECT

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139

PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING

(1) self‐directedness

Consider
Knowles’ Six
Assumptions
of Andragogy
When
Developing
Strategy

(2) accumulated past experiences
(3) readiness to learn
(4) problem or task‐centered
(5) internal motivation
(6) the need to know why something should
be learned

•EFFORT AND STRATEGY CAN BE CONTROLLED
and SHOULD BE FOCUSED ON.
• PAST OUTCOMES DO NOT HAVE TO BE INDICITIVE OF FUTURE
FAILURE OR SUCCESS
• BE AWARE OF ATTRIBUTIONS TOWARD STABLE AND
UNCONTROLLABLE CIRCUMSTANCES.
• FINAL TAKEAWAYS
• BE CARFUL WITH CLIENT’S FEELINGS
• BE FIRM WITH YOUR FOCUS ON EFFORT AND STRATEGY (& change as needed)
• BE DILIGENT WITH YOUR SUPPORT

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QUESTIONS
&
OPEN DISCUSSION

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Appendix C6
Workshop Handout

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PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING

LOCUS
INTERNAL LOCUS
Controllable

Uncontrollable

EXTERNAL LOCUS
Controllable

Uncontrollable

STABILITY
Stable

Effort – often long
term

Aptitude or Ability
(considered by many to
be innate and
unchangeable)

Unstable

‐ Skills
‐ Knowledge
‐ Strategy
‐ Temporary effort

‐ Short‐term
‐
‐
‐
‐

Injury
Health
Mood (?)
Weather

‐ Client cannot control Difficulty of process to
or influence change to reach goal
the external causes

‐ Client CAN control or ‐ Chance
‐ Luck
influence change to
external causes
‐ Deity
intervention(?)
‐ Guilt / shame
‐ PRIDE

What are barriers to fitness-related success?

Identify examples of how client attribute /
blame according to:
• Locus
Internal

External

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PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING

• Stability
Stable

Unstable

• Controllability
Controllable

Uncontrollable

PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING

145

• 1.) Causal search activation: ask clients write down what they
attribute causes for failure of exercise adherence in the past.

• 2.) Attributional induction stage: tell the client a story about a
hypothetical person that does not exercise. Have the client discuss
why they think this person does not exercise regularly. Trainer
summarize attributions and focus on controllable causes.

Use the following sheet to come up with three hypothetical stories
that provide different causal reasons for not exercising (locus,
stability, control).

• 3.) Consolidation phase: have the clients write summary of the
theoretical story and provide their attributions as to why the person
in the story does not exercise. Ask them to apply the main points to
their own lives focusing on what barriers they can control.

• 4.) Supportive phase: The certified personal trainer should use
client feedback to help develop a strategy to best support the client
while in and outside of the training sessions together. The trainer
should then provide written support to the client.

PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING

Come up with three hypothetical stories that provide different
causal reasons for not exercising (locus, stability, control).

What are strategies that certified personal trainers (CPT) can
implement during the supportive phase to help their clients
adhere to exercise when not in sessions together?

146

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147

• EFFORT AND STRATEGY CAN BE
CONTROLLED and SHOULD BE
FOCUSED ON.

• PAST OUTCOMES DO NOT HAVE TO
BE INDICITIVE OF FUTURE FAILURE
OR SUCCESS

• BE AWARE OF ATTRIBUTIONS
TOWARD STABLE AND
UNCONTROLLABLE
CIRCUMSTANCES.

• FINAL TAKEAWAYS
• BE CARFUL WITH CLIENT’S FEELINGS
• BE FIRM WITH YOUR FOCUS ON EFFORT
AND STRATEGY (change as needed)
• BE DILIGENT WITH YOUR SUPPORT

PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING
Appendix C7
Email Request - Trainer Documentation

148

PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING

149

Subject Line: Attributional Retraining – Request for Documentation
Dear ____________,
I want to again thank you for participating in this research project. I am sending this email to
request documentation from you so that I can gather more information about you, your training,
and how you work with clients to help them reach their fitness-based goals. Please send any or
all the following.
-

Your Personal Training Website URL
A Statement of Your Training Philosophy
Training Vision
Any pertinent information about you as a certified personal trainer

It is fine if do not have a fitness website. However, if you do not have any of the other
documents already prepared, please spent a short amount of time to prepare a training
philosophy, training vision, and information about why you are a personal trainer and how you
plan to help motivate clients to reach their fitness-based goals.

Please respond promptly so I can learn more about you prior to the attributional retraining
observation session.

Rick Richey, MS, LMT
richey@calu.edu

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Appendix C8
Email Request – Scheduling of Observation Session

150

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151

Dear ______________,

Thank you for sending your training documentation. It is now time to schedule my observation
session. In this session, you will spend 15-20 with a client that you have taking through
attributional retraining. I will be present and silently observe your time together and take notes
on your conversation, implementation of attributional retraining, and how you engage with your
client.

Please let me know what day/time options are available to your so we can schedule our
appointment.

Rick Richey, MS, LMT
Richey@calu.edu

PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING
Appendix C9
Certified Personal Trainer’s Client Consent for Observation

152

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153

Dear personal training client,

My name is Rick Richey and I am a candidate for a doctorate in health science working
on my dissertation. Your certified personal trainer (CPT) attended a workshop on attribution
theory and attributional retraining a few months ago. They are going to spend 10-15 minutes
applying some of the concepts while I observe their process. Your responses and feedback will
not be written down or noted for this project. I am only here to observe how your CPT applies
techniques and training we engaged in a few months prior.
Do you agree allow me to observe how your CPT works with you during this 10-15minute attributional retraining session?

Client Name: _________________________________

Client Signature: ______________________________

Date: _______________________________________

PERCEIVED VALUE OF ATTRIBUTIONAL RETRAINING
Appendix C10
Post-Observation Interview Questions

154

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155

1. What are your perceptions of attribution theory and attributional retraining based on your
experience implementing it over the past three months?

2. Do you believe that you have explained and implemented attributional retraining well
with your clients? Why or why not? What could you have done differently?

3. Why (or why not) do you think your clients benefited from the attributional retraining
you implemented?

4. What do you think is your client’s perception of attributional retraining?

5. Would a well-executed attributional retraining program benefit other certified personal
trainers’ in motivating their clients? How so?

6. Causal dimension – Stability: do you think your clients expect the reasons they do not
exercise on their own throughout the week will change? Why or why not?

7. Causal dimension – Controllability: do your clients exhibit more control over their ability
to exercise on their own since you started AR?

8. Causal dimension – Locus: Do you think your clients are more motivated by others
(husband/wife, friends, social media, etc. [external motivation]) or by self (internal
motivation)? Why or why not?

9. Causal antecedent - Hedonic bias: Do your clients blame themselves or some external
reason for their failure to exercise on their own?

10. Causal ascriptions - When they do exercise on their own do they attribute that success to
ability, effort, strategy, or ease or difficulty of the task, or luck?

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156

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Supporting Material

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Rick Richey
360 7th Ave. 4th Floor
NY, NY 10001
646-883-2316
richey@calu.edu
A combination of Southern charm and a passion for health and fitness education has made Rick
an entertaining personality in the fitness industry. Rick has been in the fitness industry since
2002 as a certified personal trainer, training manager, educator, orthopedic massage therapist,
college and university professor, fitness industry presenter, as well as a subject matter expert
and talent for fitness industry educational videos and written content. He is co-host of the Omnia
Fitness Podcast with Rick and Drogo – powered by Everlast. Rick is regularly used by media
outlets for quotes and content regarding fitness and wellness. He has also written chapters in the
National Academy of Sports Medicine (NASM) Essentials of Personal Training textbook. He is
currently a doctoral candidate in the dissertation phase in the Health Science and Exercise
Leadership program at California University of Pennsylvania. He has fought competitively in the
World Kickboxing and Karate Association (WKA) in kickboxing and Muay Thai and has served
as a course educator for the NASM MMA Conditioning Specialist and the Everlast FIT
certifications. Rick is the owner of Independent Training Spot, personal training gyms located
NYC, and co-owner of Omnia RēCOVER, wellness and stress management facility in NYC.
Other fitness brands Rick is associated with creating are The Daily Move Challenge, Human
Movement Science (HMS) Resources, and Omnia Wellness. Rick also works with Fusionetics
and has offered fitness assessments for professional athletes, the NBA Players Association in
NYC, and the Mets organization.
ACADEMIC HISTORY
2016- present, California University of Pennsylvania (CalU)
250 University Ave, California, PA. 15419
Doctoral Candidate – Doctor of Health Science and Exercise Leadership
2010, Swedish Institute of Health Sciences
226 W 26 St. 5th FL, New York, NY 10001
Massage Therapy Program
GPA 3.8
2006, California University of Pennsylvania (CalU)
250 University Ave, California, PA. 15419
Master of Science in Exercise Science – Performance Enhancement and Injury Prevention –
GPA 4.0
1995-1999, University of North Alabama (UNA)
Florence, AL 35630
Majors: Communications and Theater
Minors: Biology and Business Administration
GPA – 3.1
1998-1999 Alpha Tau Omega – Marty R. Abrams Scholarship Award

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1991-1995, Bradshaw High School
1201 Bradshaw Dr. Florence, AL 35630
Advanced Diploma
WORK HISTORY
RēCOVER
Principal and Co-Founder
• Developed and built out a centralized, accessible environment focused on physical,
mental, and emotional restoration and stress reduction.
• RēCOVER opened in 3/5/18 to a financial break even because the need for numerous
types of recovery.
• RēCOVER is the only multi-modality recovery facility in NYC that uses technologies
such as compression, infrared saunas, CVAC, e-stim, and NuCalm therapies to address
multiple types of stresses.
Omnia Wellness
Principal and Co-Founder
• Omnia Wellness is a corporate wellness program that uses the tools from RēCOVER to
provide physical and cognitive stress relief to employees on-site.
• DBA as RēCOVER On-Site, Omnia Wellness provided its first on-site to media giant
Viacom in NYC within the first quarter of concept inception.
INDPENDENT TRAINING SPOT
Principal and Founder
• Independent Training Spot (ITS) is a personal training, physical therapy, corrective
exercise and sport performance facility in Midtown/NoMad Manhattan designed to help
independent (non-corporate) personal trainers become fitness in fitness industry
entrepreneurs.
• ITS is a hub for fitness industry education. ITS provides bi-monthly complementary
education to trainers, as well as a weekend host to fitness education companies such as
CPR, NASM, and Everlast.
Omnia Fitness Podcast with Rick and Drogo
Co-Host
• With co-host Aaron Drogoszewski, this EVERLAST produced podcast focuses on
provided entertaining and educational stories, insights, and research on personal training,
fitness, fighting, recovery, and overall health and wellness related topics.
Buzzer3 LLC
Principal and Co-Founder
- Omnia Fitness (dba)
• Omnia Fitness provides talent, sports and model management and agents with a system of
fitness solutions, executed by highly educated and experienced health and fitness
professionals, to ensure optimal, time-sensitive, results.

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Omnia provides in home and residential services which include personal training,
massage therapy, nutritional counseling, and wellness coaching.
Omnia App (in development)

HMS Resources (dba)
Principal
• Human Movement Science Resources is an evidence-based hands-on education company
that provides continuing education credits to personal trainers in anatomy, flexibility,
corrective exercise, and sports performance.

CALIFORNIA UNIVERSITY OF PENNSYLVANIA
Exercise Science & Sports Studies Department
2010 – Present, Adjunct Faculty
• FIT 400: Program Design Course – This undergraduate course provides a comprehensive
view of sport performance training with a focus on assessment and developing
customized sport training programs. The course aligns sport performance training
components to the revolutionary exercise programming strategies of the Optimum
Performance Training™ model.
• PRF 720: Essentials of Human Movement Science – a graduate level course introduces a
scientific approach to the essentials of human movement science. Detailed insights are
given into the independent and interdependent function of the muscular, articular and
nervous systems during human force production, stabilization and force reduction.
• PRF 751: Sports Performance Program Design – a graduate level course that provides a
deeper understanding and advanced implementation of the sports performance
programming that focuses on assessment and the development of customized sports
training programs.
The Swedish Institute of Health Science
Advanced Personal Training degree program
2015 – 2017, Adjunct Faculty
• APT 214: Motor Learning - This lecture course discusses basic concepts of motor
learning. Students apply these concepts to assessment of clients and designing exercise
programs for pre-habilitation and post-habilitation clients. Motor learning is presented as
it relates to skill acquisition in sports and job settings, so students can integrate complex
movements and movement techniques appropriately into client’s programs. Students also
analyze complex motor skills required in sports or job applications to apply appropriate
techniques and progressions in training for their acquisition.
THE WRIGHT FIT (TWF)
15 CPW New York, NY 10023
2007 – 2014, Personal Trainer
Formerly, DIRECTOR OF PERSONAL TRAINING
• Focus on helping clients through standard to advanced individual assessments to garner a
clear understanding of current fitness status, potential contraindications, static,

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transitional, and dynamic postural assessments, along with finding out what the clients
enjoys about exercise.
Sports Specific and “Functional” Training - Performance Enhancement and Injury
Prevention.
Corrective Exercise Specialist – focus is spent on pain reduction and increasing activities
of daily living (ADL’s) for clients with postural deviations and movement dysfunction.
Mui Thai Kickboxing and Boxing Training.

NATIONAL ACADEMY OF SPORTS MEDICINE (NASM)
1750 E. Northrop Blvd., Suite 200. Chandler, AZ 85286
2006 – Present, MASTER INSTRUCTOR / FACULTY
• Presenter – Essentials of Personal Training Course
• Presenter – Corrective Exercise (CEx) Specialist Course
• Presenter – Performance Enhancement Specialist Course
• Presenter – Mixed Martial Arts Conditioning Specialist Course
• Presenter – NASM in house Public Speaking Course
• Master Instructor presenting nation-wide with this prestigious and nationally accredited
(NCCA) organization with over 100,000 trainers certified worldwide.
• Monthly content developer for online education platforms – Health and Fitness Provider
Network (HFPN – formerly FitCoachPro.com and FitCoach.com)
• Content Developer for NASM’s Instructor Network Training Program
o Public Speaking Course and Workshop
o New Instructor On-boarding Education Course and Workshop
o LifeTime Academy Faculty Training Course
o National Personal Training Institute Faculty Training Course
POWER PLATE NORTH AMERICA, INC.
17900 VON KARMAN, SUITE 125, IRVINE, CA 92614
2009 – 2011, EDUCATOR FOR POWER PLATE ACADEMIES I AND II
• Academy I “Foundations” course developed to allow Personal Trainers, Strength and
Conditioning Coaches, Therapists, Medical Practitioners and consumers to understand
the science and application of Acceleration Training.
• Academy II “Integrated” program is designed to further develop the theoretical and
applied knowledge of advanced neurophysiology, ATP methodology and integrated
program design. Students will become skilled in applying Power Plate for the optimal
health and performance using advanced training protocols such as strength, hypertrophy,
and power training.
TOWN SPORTS INTERNATIONAL (TSI),
30 WALL ST. NEW YORK, NY 10005
2003 – 2009, Training and Development Department, SENIOR FACULTY
Educate trainers and fitness instructor staff within TSI’s four regions of health clubs
(Philadelphia, Boston, Washington, and New York). Courses range from two to six days of
instruction; eight hours a day, with a group size ranging from 10-50+. Teaching Highlights
include:

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NASM Certified Personal Trainer Course: A training package to provide TSI employees
all the instructional, reference, and hands-on information required to successfully pass the
NASM-CPT certification by focusing on the “OPT Model” of periodization of strength and
flexibility training.
NASM Corrective Exercise Workshop: This one day course is designed to help trainers
recognize postural distortions (static, dynamic, and transitional), and provide specific and
individualized corrective strategies for clients that exhibit altered alignment.
NASM Neuromuscular Stretch Techniques: This four (4) hour course is designed to help
personal trainers recognize movement compensations, overactive muscles that pull the joint
into compensatory patterns, recognize optimum ROM, and learn hands on techniques of
Neuromuscular Stretching to achieve optimum ROM.
Gray Cook’s Functional Movement Screen: This one-day course is designed to break
down Reebok University’s and Gray Cook’s 5 Point Functional Movement Screens to help
trainers assess and provide corrective strategies for clients with altered movement patterns.
Personal Training Business Course: TSI’s required internal 3-day training course to help
trainers learn how to look beyond fitness as a job and toward an occupation. Training
includes sales planning, personal business plans (annually designed), and how to optimize
customer service.
Foundations of Programs and Services: TSI’s required internal 3-6-day training course,
which covers customer service, anatomy, anatomical planes, directions and actions,
principles of movement, core training, flexibility, and progression. Also included are
training principles specific to TSI’s current programs and services.

NEW YORK SPORTS CLUBS (NYSC)
61 W62 ST. NEW YORK, NY 10023
2002-2005 AND 2006-2009, MASTER TRAINER
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Work with clientele through individual exercise prescription and behavioral changes to
achieve their personal health and fitness goals. Specialize in corrective exercise, post-rehab,
sports specific conditioning, flexibility training.

2005-2006, EQUINOX FITNESS CLUBS
10 Columbus Cir. New York, NY / 520 Collins Ave. South Beach,
FL

PERSONAL TRAINING MANAGER
Drive sales and usage of sessions by personal training staff. Responsibilities include:
• Educator and faculty: Lead trainings through the Equinox Fitness Training Institute
• Encourage member interaction, client solutions, and explaining the benefits of personal
training and/or general fitness to all members, potential members, sales staff, training staff
and personal training clients.
NEW YORK SPORTS CLUBS
61 W62 St. New York, NY 10023
2002 – 2004,

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FITNESS PROGRAM MANAGER
Manage all aspects of the fitness department, including customer service, facility maintenance
and repair, supervision, and management of all fitness staff. Administrative work included
staff scheduling and payroll, business planning and revenue building.

HEALTH AND FITNESS PRESENTIONS / WORKSHOPS / LECTURES / WEBINARS /
PANELS
National and International
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“Fitness and Mental Health from a Medical Perspective” Panel discussion. Strong New
York conference. November 2018. Solace. New York, NY.
“Biohacking: Panel Discussion” Balance and Beyond. November 2018. Primary – FiDi. New
York, NY.
“Partner Assisted Stretching” NASM Optima Conference. October 2018. Phoenix, AZ.
“From Clinical to Practical – This is What Activation Looks Like” NASM Optima
Conference. October 2018. Phoenix, AZ.
“The Overhead Squat and Other Movement Assessments” Asia Fitness Conference. October
2018. Bangkok, Thailand.
“Pathology and Corrective Exercise for the Ageing Clientele” Asia Fitness Conference.
October 2018. Bangkok, Thailand.
“Fitness Fables, Fantasy, and Folklore Debunked” Asia Fitness Conference. October 2018.
Bangkok, Thailand.
“Where’s the Gym? Workouts You Can Do Anywhere” Asia Fitness Conference. October
2018. Bangkok, Thailand.
“’How to Crush Your Marathon Goals’ Expert Panel” Sponsored by Rhone and Jack Rabbit.
October 2018. New York, NY.
“NASM: Isolated Strength Assessments Using Manual Muscle Testing” IDEA WORLD. June
2018. San Diego, CA.
“NASM: Strength Training for Optimal Results” IDEA WORLD. June 2018. San Diego, CA
“Panel Discussion – Fitness and Recovery” Balance & Beyond. June 2018. Primary – FiDi.
New York, NY.
“Lowering the Barriers to Entry for Healthy Living” Webinar. Medical Fitness Network.
Tuesday, February 13, 2018
“Practical Applications for Corrective Exercise” ACSM New York chapter annual
conference. November 2017. New York, NY.
“Pathology and Corrective Exercise for Aging Clientele” NASM OPTIMA Conference 2017.
Phoenix, AZ
“How to Cue: Proper Exercise Technique” NASM OPTIMA Conference. October 2017.
Phoenix, AZ
“Fitness Fables, Fantasy, and Folklore and the Scientific Rationale to Overcome Them”
NASM OPTIMA Conference. October 2017. Phoenix, AZ
“Corrective Exercise Deep Dive” NASM OPTIMA Pre-conference Event. October 2017.
Phoenix, AZ.

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“Coffee Talk with Tony Ambler-Wright and Friends” NASM OPTIMA Conference. October
2017. Phoenix, AZ
“Training Adults: Evidence-Based Educational Techniques Applied to Training” GOIFEX
August 2017. Jakarta Convention Center, Indonesia.
“Interactive Anatomy Review” GOIFEX August 2017. Jakarta Convention Center, Indonesia.
“Where’s the Gym? Workouts You Can Do Anywhere” GOIFEX August 2017. Jakarta
Convention Center, Indonesia.
“Excelling at Group Personal Training” GOIFEX August 2017. Jakarta Convention Center,
Indonesia.
“AFAA: How to Use Group Fitness to Build Your One-on-One Training Business” IDEA
WORLD 2017. Los Angeles, CA.
“Morning Jumpstart Workout” IDEA WORLD 2017. Los Angeles, CA
“NASM: Corrective Exercise Model – Essentials and Beyond” Pre-Conference Event - IDEA
WORLD 2017. Los Angeles, CA.
“NASM: Corrective Exercise Model – Essentials and Beyond” Pre-Conference Event. IDEA
Personal Training Institute East 2017. Bethesda, MD.
“NASM: Corrective Exercise Model – Essentials and Beyond” Pre-Conference Event. IDEA
Personal Training Institute West 2017. Seattle, WA.
“Training Adults: Evidence-based Educational Techniques Applied to Training” OPTIMA
2017. Phoenix, AZ.
“Manual Muscle Testing” FITME Conference November 10, 2017. Dubai, UAE
“Excelling at Group Training” FITME Conference November 11, 2017. Dubai, UAE
“Fitness Fables, Fantasy, and Folklore” FITME Conference November 11, 2017. Dubai,
UAE
“NASM: How to Mix Up the Model” OPTIMA 2016. Phoenix, AZ.
“Partner-assisted Stretching” OPTIMA 2016. Phoenix, AZ.
“Strength Training for Optimal Results” IDEA Personal Training Institute West 2017.
Seattle, WA.
“Strength Training for Optimal Results” IDEA Personal Training Institute East 2017.
Bethesda, MD.
“NASM: Excelling at Group Personal Training” Pre-Conference Event IDEA World 2016.
Los Angeles, CA. July 13, 2016.
“NASM: Isolated Strength Assessments Using Manual Muscle Testing” IDEA World 2016.
Los Angeles, CA.
“NASM: Isolated Strength Assessments Using Manual Muscle Testing” IDEA Personal
Training Institute East 2016. Seattle, WA.
“NASM: Isolated Strength Assessments Using Manual Muscle Testing” IDEA Personal
Training Institute East 2016. Alexandria, VA.
“Morning Jumpstart Workout” IDEA World 2016. Los Angeles, CA. July 14, 2016.
“Where’s the Gym? Workouts You Can Do Anywhere” IDEA World 2016. Los Angeles, CA.
July 14, 2016.
“NASM: Interactive Anatomy Review” IDEA Personal Trainer Institute East 2016.
Alexandria, VA.
“NASM: Interactive Anatomy Review” IDEA Personal Trainer Institute West 2016. Seattle,
WA.

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“Exercise and the Brain” NASM Optima 2015. Chandler, AZ. August 23, 2015
“Smart Programming for Group Personal Training: NASM Optima 2015. Chandler, AZ.
August 23, 2015
“Interactive Anatomy Review” IDEA World 2015. Los Angeles, CA. July 17, 2015
“Systematic Stretching for Neuromuscular Efficiency” IDEA World 2015. Los Angeles, CA.
July 16, 2015
“Smart Programming for Group Personal Training” IDEA World 2015, Los Angeles, CA.
July 16, 2015
“Interactive Anatomy Review” National Academy of Sports Medicine’s Advanced 2-Day
Workshop Series. Muscle Pharm. Denver, CO. April 18, 2015
“Muscle Length Testing: Getting Specific with Goniometry” National Academy of Sports
Medicine’s 2-Day Advanced Workshop Series. Muscle Pharm HQ. Denver, CO. April 18,
2015
“Interactive Anatomy Review” The Arnold Classic. Columbus, OH. March 7, 2015
“Smart Programming for Group Personal Training” The Arnold Classic. Columbus, OH.
March 7, 2015
“Corrective Exercise for Baby Boomers” The Arnold Classic. Columbus, OH. March 6, 2015
“Corrective Exercise Quick Fixes” The Arnold Classic. Columbus, OH. March 6, 2015
“NASM: The New Group Fitness is Here!” IDEA World. Los Angeles, CA. August, 2013.
“NASM: Small Group Training Video Course” AFFA HQ Los Angeles, CA. June, 2013.
“NASM: Corrective Exercise eTeach Video Course” NASM HQ – Phoenix, AZ. February
2013.
“Movement Prep: The New Warm Up” IDEA World. July 6, 2012. San Diego Convention
Center. San Diego, CA.
“NASM: Fitness and Public Speaking Workshop” National Personal Training Institute (PT
Vocational School). March 2012.
“Corrective Exercise Specialist” NASM course content for the PT/AT staff of the BOSTON
CELTICS. March 2012.
“NASM: Fitness and Public Speaking Workshop” LifeTime Academy (PT Vocational
School) Faculty Education course, Minneapolis, MN. February 24-25, 2012.
“Corrective Exercise for Baby Boomers” IDEA Personal Training Institute. February 17,
2012. Hilton Mark Center. Alexandria, VA.
“From the Table to the Gym” Webinar for the Benjamin Institute Continuing Education
Series on Functional Fitness and Massage Therapy. November 2011.
“Movement Prep: The New Warm Up” TSI Summit November 5, 2011, Marriot Marque
NYC.
“Drills! Perform and Practice Sports-Based Drills” TSI Summit November 5, 2011, Marriot
Marque NYC.
“Metabolic Training: Progressions & Periodization” TSI Summit November 5, 2001.
Marriot Marque NYC.
“Innovative Programming Strategies for Weight Loss” IDEA World August 2011 in LA.
“Teaching Through Movement: The Art of Live Instruction” This five-day workshop was
developed me and two colleagues and piloted by NASM’s at their headquarters in Mesa, AZ
to their new instructors. The purpose of the workshop is to help presenters in the fitness
industry (and others) to hone their public speaking skills with close attention to art of

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rhetoric, pedagogy, andragogy, vivid speech, gestures, verbal and non-verbal
communication, etc.
NASM, Mesa, AZ. September 2010.
“Advanced Program Design: OPT Alternative” TSI Summit October 2008, Hilton New
York, NY.
“Bigger by Volume” ACDC Conference, Hilton Houston, TX. April 2008
“Common Obstacles Adversely Affecting Today’s Clients” ACDC, Hilton Houston, TX. April
2008
“Bigger by Volume” TSI Summit 2007, Hilton, Brooklyn, NY. October 2007
“The Science Behind Exercise” Chenni (Madras), INDIA. July 2007.
“Linking Fitness Assessment to Functional Fitness Programming” Fitness First, Tulsa and
Oklahoma City, OK April 2006.
“Personal Training VS. Wellness Coaching: Fighting The Same Fight From Different
Fronts” TSI Summit 2006, Marriott Marquis Hotel, NY, NY September 2006.
“How’s That Workout Working Out?” 440 W57th St. in Manhattan. New York, NY January
15th, 2005.
“How’s That Workout Working Out?” Crystal Cruise Lines Featured Presenter November
2005
“Personal Training as a Career” TSI Summit 2004, Marriott Marquis Hotel. September 1012, 2004.
“Workouts Made Simple” TIAA-CREF New York, NY 2003
“Career Pains: Identifying and Correcting Common Postural Distortions in the Workplace”
The Princeton Club. New York, New York 2003.
“Perform Better: The Art of Weight Lifting” Juilliard School, 60 Lincoln Center Plaza, New
York, New York. October 2002.
“Career Pains: Identifying and Correcting Common Postural Distortions in the Workplace”
Fordham University, 113 W60th St. New York, New York. September 2002.

PROFESSIONAL QUALIFICATIONS
• Licensed Massage Therapist, 2010
• Certified Wellcoach® through Wellcoaches® December 2004
• Certified Strength and Conditioning Specialist (CSCS) through the National Strength and
Conditioning Association, 2005
• Certified Personal Trainer through the National Academy of Sports Medicine, 2002
• Sports Fitness Specialist through the National Academy of Sports Medicine, 2004
• Integrated Flexibility Specialist through the National Academy of Sports Medicine, 2005
• Performance Enhancement Specialist through the National Academy of Sports Medicine,
2006
• Corrective Exercise Specialist through the National Academy of Sports Medicine, 2006
• CPR/AED/First Aid for Adult, Child, and Infant
• Health and Fitness Instructor through American College of Sports Medicine (ACSM
H/FI), 2003 (Lapsed in 2007)

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PUBLICATIONS
Contributing Author
NASM Essentials of Personal Fitness Training (5th ed. and 6th ed.), 2017
• Chapter - The Human Movement System in Fitness
• Chapter – The Optimum Performance Training (OPT) Model: Applying Stabilization
Articles
• “Heads Up! Try These Hacks to Correct ‘Tech Neck’” American Fitness Magazine. Fall
2018.
Blogs
• “3 Partner Assisted Stretching Techniques for Personal Trainers” NASM Blog.
September 12, 2018. https://blog.nasm.org/exercise-programming/3-partner-assistedstretching-techniques-for-personal-trainers/
• “How to Meet, Sell, and Retain Clients – Part 2” NASM Blog. December 31, 2017.
https://blog.nasm.org/uncategorized/meet-sell-retain-clients-part-2/
• “How to Meet, Sell, and Retain Clients – Part 1” NASM Blog. December 30, 2017.
https://blog.nasm.org/uncategorized/meet-sell-retain-clients/
• Addressing the Psoas in the NASM Corrective Exercise Model. NASM Blog. July 17,
2014.
https://blog.nasm.org/newletter/addressing-psoas-nasm-corrective-exercise-model/
• “Virtual Training – Less Personal, More Training?” NASM Blog. April 30, 2014.
https://blog.nasm.org/certified-personal-trainer/virtual-training-less-personal-training/
• “Working with Challenging Clients” 10/3/08.
http://www.nasmcertificationhub.com/cpt/personal-trainer-certification/workingchallenging-clients

EVENTS
• 2014 – Men’s Health NYC URBANATHLON – Lead Event Warm Up at Citi-Field
• 2013 – Men’s Health NYC URBANATHLON – Lead Event Warm Up at Citi-Field
• 2011 – NYC- Walk Warm Up Leader for American Diabetes Association Walk for
Diabetes (3,000 Attendees).
• 2010 – NYC - On-Site Massage Therapist at Walk For MS
• 2008 – NYC - Walk Warm Up Leader for American Diabetes Association Walk for
Diabetes (4,000 Attendees)
• 2007 – NYC - Warm Up Leader JP Morgan Chase Central Park 5K (15,000 Attendees)
• 2005 – NYC - Warm Up Leader JP Morgan Chase Central Park 5K (17,000 Attendees)
PODCASTS
• IDEA Empowered Entrepreneur Podcast with Pete McCall – October 2018
• Ali Fitness Podcast – Proven Technologies for Recovery with Aaron Drogoszewski &
Rick Richey – EP79
• In Fighting Shape with Phoenix Carnevale – Recovery with Rick and Drogo - EP 58

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Media Highlights
Print: New York Times, Wall Street Journal, Washington Post, Well + Good, Fast Company,
Coveteur, Training Edge Magazine, Outside Magazine, New York Magazine, Shape Magazine,
Shape.com, iVillage, Redbook, Redbook.com, Club Life Magazine, USA Today, The NY Post,
MensHealth.com, Exercise for Men Only, Men’s Journal, ABCNews.com, The NY Observer,
Daily Gazette (Schenectady,NY), am New York, Metro NY.
Television: ABC, MSNBC, ESPN2, FOX’s GoodDay NY, WB11’s NY Morning Show, Club
Com, and The View.
Radio/Audiocast: CBS National Radio, and 102.7, The Mix with Len & Greg,
“From the Table to the Gym” webinar – BenBenjamin.com
Video:
• “NASM: Strength Training for Optimal Results” continuing education course recorded at
IDEA World, 2018. Offered by Ideafit.com https://www.ideafit.com/fitness-expert/rickrichey/videos
• “Movement Prep: The New Warm-Up” continuing education course recorded at IDEA
World, 2012. Offered by Ideafit.com https://www.ideafit.com/fitness-expert/rickrichey/videos
• “Group Personal Training” educational series with AFFA/NASM
• “Corrective Exercise Quick Fixes” educational series with NASM
• “The Daily Move Challenge” commercial workout series
COMPETETIVE SPORTS
Kickboxer – World Kickboxing Association (WKA) – K-1 Rules
CLIENTS OF NOTE:
Common
Hugh Jackman
Jennifer Lawrence
Gee Roberson
Grant Hill
Graham Phillips
Eli Tehari
Gee Roberson
Sara Blakely
Jeffrey Lane
Zoe Kravits
Lucas Till
Jason Sudeikis
Nicola Peltz
Amar’e Stoudemire Dahntay Jones
Lukas Graham
Elvish Gashi
Oz Garcia
Mark Glicini (MLL)
Cara Bono
Cynthia Erivo

Lady Gaga
Hillary Duff
Sol Kersner
Vlad Doronin
Brynne Zuccaro
Alex Gonzalez
Pauletta Washington
Joel Grey
Katlyn Chookagian
Jake Shields
AJ Ramos

Robert Pattinson
Mike Comrie (NHL)
Abby Spears (Tennis)
Neiman Gracie
Penn Badgley
Jesse Itzler
Alex Gonzalez
Peter Shankman
Charone Peake
Jennifer Dugwen Chieng
Kiki VanDeWeghe

FILM LOCATION:
X-Men First Class (GA Unit) - 2010: Trainer on set for Jennifer Lawrence
PERSONAL INTEREST
Family, Travel, Alabama Football (ROLL TIDE), Yankees Baseball, Boxing, Kickboxing,
MMA, Traveling Rings in Riverside Park (NYC), Anything my kids are interested in.

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CITI
Program Certificates

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