1. Introduction
Individuals with physical disabilities who are physically inactive are more likely to experience secondary health conditions and require increased medical intervention to enable a positive quality of life [
1,
2]. Physical activity participation rates among individuals with disabilities can be up to 62% lower than the general population [
3]. Implementing structured interventions can increase the quantity of exercise individuals complete, which increases overall physical activity and its many benefits [
4,
5]. While individuals with physical disabilities may participate in exercise through rehabilitation programs, these programs are often only available in the short term and do not address the health promotion and leisure needs for continued exercise participation [
4]. Community-based exercise programs (CBEPs) fill this gap and serve as an option to provide leisure-focused physical activity opportunities for individuals with disabilities, helping participants to improve and retain mobility, functional capacity, and balance [
6,
7]. CBEPs offer disability-specific, affordable exercise opportunities [
4] and are recommended by the World Health Organization [
8] to increase physical activity and exercise participation among individuals with disabilities. To further mitigate barriers to exercise participation, CBEPs can also be offered online, reducing accessibility, socioeconomic and intrapersonal barriers to exercise programs [
9]. Adam and Morgan [
6] note that important aspects of a CBEP include knowledge of adaptive exercise, and the means to provide adaptive equipment. Program providers have experimented with the delivery of exercise through online platforms, demonstrating that online exercise programs can be tailored to the participants’ goals while providing adequate knowledge of adaptive exercise and appropriate adaptive equipment [
10,
11].
While CBEPs help to increase the overall amount of physical activity individuals with physical disabilities perform [
12], simply measuring quantity of participation does not account for the complexities in participation among individuals with physical disabilities [
13]. Imms and Granlund [
14] suggested that the perception of participation include one’s subjective experience (i.e., quality), in addition to assessing the frequency of participation (i.e., quantity). In response, Martin Ginis and colleagues [
15] proposed six aspects that comprise a quality experience: autonomy (i.e., independence, choice, control), belongingness (i.e., a sense of belonging), challenge (i.e., feeling appropriately challenged), engagement (i.e., motivated, focused), mastery (i.e., experiencing achievement), and meaning (i.e., obtaining a meaningful goal). Evans and colleagues [
16] expanded this conceptualization by proposing the Quality Parasport Participation Framework, which proposes that repeated quality experiences (i.e., quantity of participation) fosters overall quality participation (i.e., the broader subjective evaluations of participation). Three conditions (i.e., social environment, physical environment, and activity environment) are foundational for an experience to be considered quality. Evans et al. [
16] further postulated that the six aspects of quality experience are interrelated (i.e., more than one aspect may be experienced simultaneously), have varied value (i.e., individuals will value different aspects), vary over time (i.e., the experience of an aspect can change from one session to the next), and have varied means of achievement (i.e., several strategies can be used to achieve a given aspect).
Despite its conception in the disability sport domain [
16], the Quality Participation Framework [
15] has demonstrated resonance and applicability for persons with physical disabilities participating in CBEPs. Specifically, studies have highlighted that the six aspects of a quality experience are evident in participants’ CBEP experiences [
17] and that the experience of each aspect is individualized and dependent on participants’ context outside of the CBEP [
18]. Koch et al. [
19] assessed the relationship between quality and quantity of participation in CBEPs, hypothesizing that the level of quality participation individuals with disabilities experience within their CBEP could predict their quantity of weekly moderate-vigorous leisure-time physical activity. The results of the cross-sectional study indicated that quality of participation did not significantly predict quantity of participation when measured as moderate-vigorous physical activity (MVPA) [
19]. However, the authors measured quality of participation within the program, while assessing MVPA within and outside of the program. Therefore, the authors suggested that CBEP attendance might serve as a better measure of quantity of participation when assessing the relationship between quantity and quality of participation within the exercise setting.
While it is currently accepted that quality and quantity of participation are important factors for exercise behaviours among individuals with disabilities, the relationship between these factors remains unclear. Additionally, while the relationship between quality and quantity of participation in a cross-sectional nature has been investigated, the relationship between these variables over time is unknown. Accordingly, this project sought to explore how the six aspects of quality participation [
15] interact with the quantity of participation (i.e., attendance) in Revved Up @ Home, an online CBEP for individuals with physical disabilities. Specifically, this study aimed to: (1) to quantitatively assess the relationship between quality and quantity of participation, and (2) to qualitatively explore this relationship by inquiring about participants’ perceptions of the aspects of quality participation, and their potential relation to fostering overall quality and/or quantity of participation.
2. Materials and Methods
2.1. Study Design
To further elucidate the relationship between quality and quantity of participation in the exercise setting, there is a need for a mixed-methods inquiry. Quantitative analysis of the relationship between quality and quantity of participation can provide insight as to how specific aspects may relate to program attendance, while the collection of qualitative data would enable a deeper contextual exploration of any potential relationships between aspects of quality and quantity. Previous analysis [
19] has facilitated a numerical assessment of quality participation; however, to truly understand what encompasses a quality experience, participants must be allowed to expand on their personalized experience and provide nuanced context to their ratings of the aspects of quality participation. A sequential explanatory design was employed, in which quantitative data is collected and analyzed, then subsequently used to guide qualitative data collection and analysis [
20]. The design was deemed to be mixed methods as the quantitative data was used to initiate conversations about participant experiences. Semi-structured interviews are commonly used in mixed-methods inquiry [
21] and enable researchers to employ data-prompted graphic elicitation, an innovative methodological approach that prompts shared understanding of a topic through data-derived diagrams [
22,
23]. Contributions about the broader topic are ultimately made possible because the diagrams provide a common foundation that is easily understood by both the interviewer and interviewee. Given the complex nature of the Quality Participation Framework (i.e., six aspects, three conditions, interrelated nature), collecting both quantitative and qualitative data enables the researcher and participant to communicate descriptive findings [
20]. Member checking was not conducted in this study to minimize the cognitive and emotional burden on participants during the already stressful time of COVID-19 lockdowns. A schematic depiction of the sequential explanatory mixed-methods design for data collection and subsequent analysis is included in
Appendix A,
Figure A1.
2.2. Philosophical Assumptions
This study is situated within critical realism. Critical realism assumes a realist ontology, contending that the truth can be measured to some degree and lending the potential of using quantitative methods to infer causality, as well as a constructivist epistemology, meaning that the knowledge is error-prone and constructed based upon past experiences and social structures [
24]. Taken together, critical realism proposes that causality may be assessed, but that any potential relationship exists within “open systems” [
24] (p. 11), as it is difficult for reality to be measured independently of social structures or context. Critical realism proposes that participants of a study are members of society, and the external influence of participants’ daily lives is reflected in their exercise participation.
The first research question relied on assessing the relationship between quality and quantity of participation, both of which can be assessed quantitatively. The ontological position of critical realism (i.e., realist) allowed for a quantitative assessment of the relationship between these two variables. The second research question, which sought to understand how participants experience quality participation and how this may relate to their quantity of participation, relied on a deeper contextual understanding of each participant’s experience in Revved Up @ Home. Exploring each participant’s own experience is especially important when assessing quality exercise participation among individuals with disabilities, as quality participation is highly individualized and subject to factors external to any form of exercise intervention [
16,
25]. The epistemological position of critical realism (i.e., constructivism) suggests that an understanding of social structures and context is important to gain when assessing a quantitative relationship (i.e., the relationship between quality and quantity of participation).
2.3. Participants and Context
Revved Up @ Home is an online exercise program based in Canada for persons with a physical disability that was launched in response to the COVID-19 pandemic. The program involves tailored exercise programs with trained undergraduate student interns via Zoom (an online videoconference software, Version 5.4X). Each undergraduate student intern was a third or fourth-year Kinesiology or Health Studies student. Each student had taken undergraduate courses in exercise prescription and in development and delivery of adapted exercise programs, and received practical skills training for online exercise coaching for persons with disabilities by the program coordinator (a Registered Kinesiologist). The 10-week program during the study period (September to December 2020) offered participants the opportunity to engage in two different types of exercise sessions. First, they could engage in two “online 1:1 exercise” sessions each week, during which student interns guided the participant in completing their 40-min home-based program, which was developed by a Registered Kinesiologist (i.e., human movement specialists who promote health and well-being through exercise and physical activity) with participant input. Second, participants could engage in “online group exercise” classes, during which interns would deliver a 30-min themed exercise session over Zoom (i.e., core, muscle strengthening, aerobic fitness) alongside other participants. The primary focus of this study was to investigate members’ experience of the 1:1 exercise session on their perceptions of quality participation. For the purposes of this study, experiences in the online group exercises were not investigated, and data were not explicitly collected to explore these group-based sessions.
Potential participants included the 24 individuals enrolled in Revved Up @ Home during the study period. Individuals who participated in Revved Up in-person programming prior to the COVID-19 pandemic were invited to participate in the Revved Up @ Home program. Individuals could also be referred to the program by their primary care provider or by a rehabilitation specialist, for consideration of long-term physical activity involvement. Program members were eligible for the current study if they had a physical disability (congenital or acquired), did not display signs of cognitive impairment, and could read and write in English. All 24 individuals enrolled in the program indicated their interest in participating on their program enrolment package. All participants expressing interest were contacted by phone by the student investigator. From this group, 21 participants volunteered to partake in the study. One participant did not complete the baseline questionnaire, two participants engaged in exercise sessions together (which may have influenced their quality of participation relative to all other participants who exercised independently), and one participant was unable to answer most questions during the interview due to signs of cognitive impairment. Therefore, complete data from 17 participants were included in the final analysis.
2.4. Quantitative Measures: Questionnaires and Attendance Data
2.4.1. Questionnaires
All participants completed two different sets of questionnaires. First, participants completed a questionnaire assessing quality participation at two separate time points (i.e., global questionnaire)—baseline (prior to beginning Revved Up @ Home) and following 10 weeks of the program. The global questionnaire included questions about demographic information (baseline only), quantity of leisure-time physical activity (LTPA) participation, and global perceptions of quality exercise participation. Second, participants completed a questionnaire assessing the aspects of quality participation following each exercise session.
The quantity of participation on the global questionnaire was assessed using the Leisure-Time Physical Activity Questionnaire for people with Spinal Cord Injury (LTPAQ-SCI) [
26]. The LTPAQ-SCI is a self-report measure that assesses minutes of mild, moderate, and heavy intensity LTPA over the past seven days and is validated for use in populations with physical disabilities [
27]. For both aerobic and strength-based activities, participants were first provided with a definition of the type of intensity and subsequently asked to recall the number of days (i.e., from 0 to 7) over the past seven days they performed the given LTPA at each intensity. Participants were also asked to recall the number of minutes they spent performing aerobic-based and strength-based LTPA at a given intensity. Total strength-based or aerobic-based LTPA performed at a given intensity (for aerobic or strength) is calculated by multiplying the number of days by the number of minutes of activity per day reported. To calculate the total quantity of LTPA performed for a given intensity, aerobic-based and strength-based LTPA at a specific intensity are added together. For the purposes of this investigation, total MVPA and total LTPA were calculated.
Quality of participation on the global questionnaire was assessed using the MeEAP, a parsimonious measure that aligns with the six experiential aspects of quality participation [
28], and has been used to assess quality participation in an exercise setting [
19,
25]. The scale consists of 12 items, two items for each aspect of quality participation [
28]. Participants were asked to respond to each item using a scale from 1 (strongly disagree) to 7 (strongly agree). On the global questionnaire, the items were phrased relative to one’s overall perceptions of quality participation while exercising (e.g., When engaging in exercise activities, I feel…). For the acute questionnaire, a modified version of the MeEAP was used to reflect the exercise session that was just completed (e.g., In my Revved Up @ Home session today, when I engaged in exercise activities, I felt…) [
25,
28]. Additionally, each acute questionnaire contained one final question to be used during the semi-structured interviews (i.e.,
“What do you think is the most meaningful experience [positive or negative] that you had in your Revved Up @ Home session today, and why?”).
2.4.2. Attendance Data
Attendance percentages were included as a second measure of the quantity of participation as per the suggestion of Koch et al. [
19]. Attendance data, collected from program records, were reported as percentages, dividing the number of sessions attended by the total number of sessions offered (i.e., 20).
2.5. Qualitative Data: Interviews
All participants engaged in a semi-structured one-on-one interview following 10 weeks in Revved Up @ Home. The interviews were conducted online using Zoom. Interviews lasted an average of 64.41 min (SD = 11.57; range 52–88 min). All participants provided consent prior to the interview and agreed to be audio recorded. Cameras were turned on to establish rapport and increase the comfort level of the participant. Visual cues also facilitated understanding of a participant’s responses [
29].
The overall purpose of the interview was to explore each participant’s perceptions of their quality and quantity of participation. There were two sections of the interview. During the first part of the interview, participants were asked to reflect on different types or sources of motivation for engaging in Revved Up @ Home, as well as any goals they hoped to achieve when initially starting the program. The second part of the interview utilized graphic elicitation to explore how participants experienced quality participation in Revved Up @ Home, and how this contributed to their continued attendance in the program. The process of graphic elicitation involved showing participants numerical graphs of each aspect of their quality participation in alphabetical order (i.e., autonomy, belongingness…) over time in Revved Up @ Home. Participants were probed to explain any variation or stability in each aspect of quality participation. This conversation was aided by reminding participants of their answer to the final question of the acute survey (i.e., “What do you think is the most meaningful experience (positive or negative) that you had in your Revved Up @ Home session today, and why?”). Additionally, participant motivations and goals, as addressed in part one of the interview, were referenced to help participants share which aspects of quality participation contributed to continued attendance in Revved Up @ Home.
2.6. Analysis
2.6.1. Descriptive Statistics
Descriptive statistics were first calculated for the demographic variables as well as the aspects of quality participation and measures of quantity of participation. The two questions for each aspect of quality participation [
28] were averaged to provide an overall score for an aspect of quality participation at baseline and 10 weeks. Scores for each aspect of quality participation were averaged across all 17 participants at baseline and 10 weeks. Total quality participation scores at baseline and 10 weeks were calculated by averaging scores for all six aspects of quality participation. Paired samples t-tests were performed to determine the difference over time in MeEAP scores for each aspect of quality participation and total quality participation. Paired sample t-tests were also performed to determine differences in MVPA and total LTPA between baseline and 10 weeks. The level of significance was set at
p < 0.05. Effect size was calculated using Cohen’s d, whereby 0.2, 0.5, and 0.8 represent small, medium, and large effects, respectively [
30].
2.6.2. Correlations Between Quality and Quantity of Participation
To assess the relationship between quality and quantity of participation over the 10-week program, residualized change scores were calculated [
31,
32] for all six aspects of quality participation, as well as MVPA and total LTPA. A potential quantitative relationship between quality and quantity of participation was assessed by performing the following bivariate correlations: (1) the relationship between the change in quality of participation and the change in quantity of participation assessed as MVPA, (2) the change in quality of participation and the change in quantity of participation assessed as total LTPA (i.e., mild, moderate and vigorous intensity) and (3) the change in quality of participation and attendance to Revved Up @ Home. Pearson correlation values were interpreted based on the following conventions: r < 0.10 as negligible, 0.10–0.29 as small, 0.30–0.49 as moderate, and r > 0.50 as large [
33].
2.6.3. Thematic Analysis
All interviews were transcribed verbatim. A reflexive process was used to guide the process of a primarily deductive thematic analysis [
34]. A ‘critical friend’ (B.T.) encouraged reflection on interpretations of the data, with the goal of ensuring the participants’ voices were maintained throughout the analysis [
35]. Theme development assumed a recursive approach, during which the transcripts were revisited to ensure the final created themes accurately reflected participants’ experiences [
34]. Throughout the analysis, both the researcher and critical friend considered what may be influencing links between aspects of quality participation and continued attendance in Revved Up @ Home. When developing initial codes, extensive thought went into whether to comment on a specific response from a participant, and how the response might contribute to the overall analysis. Codes that were prompted by many aspects of quality participation signaled potential interrelations between aspects of quality participation, while codes that were only prompted by one aspect of quality participation would indicate potential links between quality and quantity of participation. Themes were extensively discussed and named over multiple meetings with the critical friend (B.T.) and other authors. The connections between the developed themes were drawn to visually map the links between quality and quantity of participation, as well as between aspects of quality participation.
2.6.4. Integration of Quantitative and Qualitative Results
Findings from the quantitative and qualitative analyses were integrated. Integrating mixed-methods data is an important task as the two forms of data can construct a broader story [
36,
37]. It is difficult to place equal weight on both qualitative and quantitative methods, as the research question often leans towards one of the two methods [
37]. As such, authors have noted that an important consideration of data integration is whether quantitative or qualitative data is prioritized [
20,
38]. While the quantitative analysis provides a numeric representation of any relationship, the potential contextual relationships uncovered by the qualitative analysis were also of value. Given that this study sought to contextualize the relationship between quality and quantity of participation, emphasizing the participants’ lived experiences was a primary objective. Additionally, in line with this investigation’s philosophical assumptions, critical realism often seeks to theorize underlying causes for empirical observations (i.e., previous postulations [
16] and data that suggest a relationship exists between quality and quantity of participation [
18,
19]) through the process of retroduction [
39]. Retroduction involves seeking the cause of an observable phenomenon, which involves curating a deeper understanding through qualitative inquiry. As such, if there was a discrepancy between quantitative findings from a correlation and qualitative interview data, priority was allocated to the interview data when making interpretations.
4. Discussion
This investigation achieved its objective of exploring the relationship between the quality and quantity of participation in an exercise setting. Findings indicate that there is a relationship between quality and quantity of participation (i.e., repeated quality experiences over time are related to quality participation); however, the relationship is nuanced in nature.
Findings provide preliminary mixed-methods evidence that there is a relationship between quality and quantity of participation. In agreement with Koch et al. [
19], this study found that quality and quantity of participation demonstrated a negligible relationship (r = 0.13) when MVPA data was used as the measure quantity of participation. This investigation provides empirical evidence to suggest that there is a moderately sized relationship between quality and quantity of participation (r = 0.34) when attendance is used as the measure for quantity of participation; however, the quantitative results were not statistically significant. Following the integration of the quantitative finding of a moderate-sized relationship between quality and quantity of participation, with the qualitative findings that multiple aspects of quality participation prompt continued attendance in an exercise program, the current investigation supports the proposition by Evans et al. [
16] that repeated quality experiences facilitate continued quality participation. Additionally, integrating quantitative and qualitative data provides new insight regarding how specific aspects of quality participation may interact with one another and with quantity of participation. Findings suggest the importance of establishing a preliminary quality experience for individuals with disabilities in an online CBEP, as this is likely to lead to repeated quality experiences and continued quantity of participation.
Qualitative findings from this investigation provided context for how a given aspect of quality experience may relate to participants’ continued attendance in the program. Participants derived a sense of belongingness by spending quality time and developing a close relationship with their intern, which led to the participant feeling a continued desire to attend the exercise program. This is not a novel finding, as close relationships between interns and participants have previously been demonstrated to be an integral component of extended participation in exercise programs [
40]. Therefore, it is imperative that interns of a CBEP should be trained to foster quality participation strategies within the program. For example, one strategy for fostering quality participation in CBEPs is to “Create opportunities to get to know the participants beyond their identity in the program as an exerciser” [
41]. This strategy specifically targets participant perceptions of belongingness and interns could be trained to adhere to this strategy by asking the participants about their lifestyle and interests or hosting social sessions after weekly exercise sessions to get to know participants [
41]. In relation to autonomy, some participants may not have cited this aspect as important to their experience because their intern did not make it clear that collaboration is an integral aspect of (the exercise program). As such, interns should be trained to help their participant understand early in the program that the exercise session is a collaborative environment. Subsequently, interns should constantly ask for participant feedback and inquire what they are looking for in the program.
Participants in the current study spoke to a cyclical relationship between challenge and mastery. When participants received challenging exercises, they worked hard to master the exercises, and subsequently receive a more challenging exercise. Experiencing both mastery and challenge made the participants feel like the program was meeting an appropriate level of difficulty and helping to reach their goals, ultimately encouraging future attendance. Revved Up @ Home is designed with an initial ‘intake session’ where the participants communicate their goals of the exercise program with the individuals designing their program. Other CBEPs should adopt this strategy [
41], as it was integral to participants feeling a sense of control over their exercise program at the early stages of their participation (i.e., autonomy; [
15]. Subsequent sessions should focus on participants’ small achievements throughout the program; in fact, the exercise program should be designed for the participant to achieve a small victory every few sessions. A continuous focus on achieving mastery in the exercise program, with an emphasis on increasing the challenge of the exercise program over time, is integral to ensuring that the program fosters repeated quality experiences and keeps the participant returning.
Data integration highlighted the relationship between meaning and quantity of participation. Participants continued to attend the exercise program because they felt as though they were achieving personally or socially meaningful goals. Personally, many viewed attendance as a commitment to themselves and their own well-being, aligning with intrinsic motivation, a sense of achievement and personal growth [
42]. Additionally, participants felt that attending the program achieved a socially meaningful goal as they were contributing to their interns’ education, reflecting extrinsic motivation, where the expectation of being present for the interns became a driving force for participation [
42]. As participants continued to attend the exercise sessions, they further achieved the personally meaningful goal of commitment to attendance and the socially meaningful goal of contributing to the interns’ learning. Koch et al. [
43] suggest that meaning is the aspect of quality participation that is highly related to other aspects of quality participation. In this study, meaning seemed to impact one’s continued attendance over time in an exercise program; however, the reason meaning led to continued attendance over time was seemingly related to the commitment the participants made to their intern, manifested through the close relationships that interns and participants developed from the exercise program taking place online.
Engagement did not demonstrate a clear qualitative relationship with the quantity of participation. Some participants perceived that the one-on-one format offered direct intern attention, which enhanced feelings of engagement. However, the lack of peer-to-peer interaction previously experienced in the in-person version of the program led to diminished perceptions of engagement. Peer-to-peer interaction can be a core aspect of CBEPs, supporting feelings of community, mutual encouragement, and shared motivation [
44]. The individualized format of Revved Up @ Home limited these social dynamics. This discrepancy suggests that engagement, as conceptualized by the participants, extends beyond focused attention or individualized support; it requires social connections and shared experiences with peers.
4.1. Strengths and Limitations
This study adopted a mixed methods design to assess and explore the relationship between quality and quantity of participation. Building on previous explorations of this relationship (e.g., Koch et al. [
43]), the addition and prioritization of qualitative inquiry enabled this investigation to explore data beyond simple quantitative relationships. In addition to the robust study design, multiple researchers were included in the analysis process to encourage reflexivity when analysing the qualitative data analysis [
34]. Methodologically, the use of graphic elicitation addressed a major barrier to engagement in research: the inability of participants to understand complex theories [
45,
46]. The use of data-prompted interviews enabled this investigation to ask participants specific questions about their quality participation as they progressed through the program. However, the method displayed some limitations, as participants may have sought to agree with the information presented by the interviewer, leading to confirmation bias. Finally, caution should be exercised when generalizing these findings to larger CBEPs. The first reason being that this study reports findings from an online CBEP, necessitated by the COVID-19 pandemic, which may not generalize to an in-person CBEP. The second reason being that the entire sample size of this study identified as white (n = 17), and 15 of the 17 total participants received some form of post-secondary education. While access to CBEPs may vary based upon ethnicity [
9,
47], CBEPs must offer programming that meets the needs of diverse groups of participants. Future investigations could seek to evaluate the quality participant among participants in different exercise programs across Canada, enabling a more diverse population.
4.2. Future Directions
The online exercise program was an interesting and intuitive solution to public health countermeasures imposed by the COVID-19 pandemic. To enhance future online programming and increase the quantity of participation, future investigation should seek to understand how the relationship between quantity and quality of participation is fostered in other online settings and among alternative, more diverse samples of participants. Further, studies should seek to determine if the current findings regarding the nuanced relationship between quality and quantity of participation translate to in-person CBEPs. Both online and in-person CBEPs can refer to the recently published list of strategies to design and implement quality exercise experiences for individuals with disabilities [
41]. Strategies that are used frequently to foster repeated quality experiences should be compared to the findings of the current study, and a tailored strategy matrix for online exercise programs can be developed.
Future investigations would benefit from employing mixed-methods research to study quality participation. Quality participation is highly nuanced in that there is inter-individual variability, variation over time, and interrelations between aspects [
16,
25,
43], so developing a contextual understanding of the framework through qualitative inquiry is highly encouraged. However, quantitative data enables researchers to quantify and generalize relationships within the framework. As theoretical relationships within the framework are uncovered, future investigation can probe further into practical implications of the framework, helping to achieve the goal of offering optimal CBEPs for individuals with physical disabilities.
Researchers in sport and exercise psychology are encouraged to use graphic elicitation (or data-prompted interviews) to understand participants’ experiences and their impact on behaviour. Experts in the field of physical activity promotion cite the importance of basing research in theoretical constructs [
48,
49], and these constructs (e.g., aspects of quality participation) may be difficult for research participants to grasp. Graphic elicitation and data-prompted interviews offer an intriguing alternative to alleviate the complexity of theories that guide exercise psychology research.
Lastly, this study demonstrates that mixed-methods research can stay true to an ontological and epistemological philosophical assumption. The adoption of ontological realism and epistemological constructionism, both central to critical realism, enabled for the generation of data through mixed-methods which draw contextual-specific conclusions. Collection and analysis of quantitative data provided a starting point to build an understanding of the relationship between quality and quantity of participation, while qualitative data provided ‘real world’ evidence that supported these relationships and contributed to contextual ideals that surround the framework.