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Fun For Wellness (FFW) is a self-efficacy theory-based online behavioral intervention that aims to promote growth in physical activity and well-being. The FFW conceptual model for the promotion of subjective well-being posits that FFW exerts both a positive direct effect, and a positive indirect effect through well-being self-efficacy, on subjective well-being. Subjective well-being is defined in FFW as an individual's satisfaction with their status in seven key domains of their life. Well-being self-efficacy is defined in FFW as the degree to which an individual perceives that they have the capability to attain a positive status in seven key domains of their life. The objective of this study was to use baseline target moderation to assess variation in the impact of FFW on subjective well-being dimensions in adults with obesity. Data (N = 667) from the Well-Being and Physical Activity Study (ClinicalTrials.gov, identifier: NCT03194854) were reanalyzed. There was evidence that well-being self-efficacy at baseline moderated the direct effect of FFW on well-being self-efficacy at 30 days post-baseline for the occupational and psychological dimensions. Both of these findings suggest a "compensatory" effect. Similarly, there was evidence that well-being self-efficacy at baseline moderated the indirect effect of FFW on subjective well-being at 60 days post-baseline through well-being self-efficacy at 30 days post-baseline for the occupational and psychological dimensions. Both of these findings suggest a "compensatory" effect. Finally, there was evidence that well-being self-efficacy at baseline moderated the direct effect of FFW on subjective well-being at 60 days post-baseline for the community, occupational, and physical dimensions. Each of these three findings suggests some version of a "rich-get-richer" effect. In summary, results provide both supportive and unsupportive (i.e., interpersonal, economic, and overall dimensions) evidence regarding variation in the impact of the FFW intervention and should impact the design of future FFW trials., (© 2021. Society for Prevention Research.)

Background: Promoting health-enhancing and sustainable physical activity levels across childhood and adolescence contribute to positive health outcomes as an adult. This study will aim to: a) examine the immediate (pre- to post-intervention) and sustained (1-year post-intervention follow-up) effects of the Children's Health Activity Motor Program-Afterschool Program (CHAMP-ASP) on physical activity, motor competence, and perceived motor competence relative to the comparison ASP, b) examine the immediate and sustained effects of CHAMP-ASP on secondary health outcomes, specifically health-related physical fitness (i.e., cardiorespiratory fitness, muscular strength, percent body fat) and weight status compared to children in the comparison ASP, and c) determine if perceived motor competence mediates the effect of CHAMP-ASP on moderate-to-vigorous physical activity., Methods: This multicenter cluster randomized trial will be implemented by ASP staff and will be conducted in ASPs located in two city-based cohorts: East Lansing/Lansing and Ann Arbor/Ypsilanti, Michigan. Children (N = 264) who are K-2 graders will participate 35 min/day X 3 days/week for 19 weeks (1995 min) in their afterschool movement program (i.e., CHAMP-ASP vs. comparison). The research team will train ASP staff to implement the program, which will be delivered within the existing ASP offering. Measures of physical activity (accelerometer), motor competence (process and product measures of fundamental motor skills), health-related fitness, perceived motor competence, and anthropometry will be collected pre-, immediately post-, and one-year post-intervention. Random-effects models will be used to assess the clustered longitudinal effect of the intervention on outcome measures., Discussion: The long-term goal is to provide a sustainable, ecologically-relevant, and evidence-based program during the early elementary years that can be delivered by ASP staff, is health-enhancing, and increases physical activity in children. Findings hold the potential to help shape public health and educational policies and interventions that support healthy development and active living during the early years., Trial Registration: ClinicalTrials.gov Identifier NCT05342701 ., Ethics and Dissemination: Ethical approval was obtained through the Health Sciences and Behavioral Sciences IRB, University of Michigan (HUM00208311). The CHAMP-ASP study is funded by the National Institutes of Health. Findings will be disseminated via print, online media, dissemination events, and practitioner and/or research journals., (© 2022. The Author(s).)

The objective of this study was to improve the measurement of physical activity self-efficacy (PASE) in adults with obesity. To accomplish this objective, a latent variable approach was used to explore dimensionality, temporal invariance, and external validity of responses to a newly developed battery of PASE scales. Data (Nbaseline = 461 and N30 days postbaseline = 427) from the Well-Being and Physical Activity Study (ClinicalTrials.gov, identifier: NCT03194854), which deployed the Fun For Wellness intervention, were analyzed. A two-dimensional factor structure explained responses to each PASE scale at baseline. There was strong evidence for at least partial temporal measurement invariance for this two-dimensional structure in each PASE scale. There was mixed evidence that the effectiveness of the Fun For Wellness intervention exerted a direct effect on latent PASE in adults with obesity at 30 days postbaseline (i.e., external validity) of this two-dimensional structure.

Background: Fun For Wellness (FFW) is an online behavioral intervention developed to encourage growth in well-being by providing capability-enhancing learning opportunities to participants. Self-efficacy theory guides the conceptual model underlying the FFW intervention. Some initial evidence has been provided for the efficacy of FFW to promote: well-being self-efficacy; interpersonal, community, psychological and economic subjective well-being; and, interpersonal and physical well-being actions. The purpose of this paper is to describe the protocol for a new randomized controlled trial (RCT) designed to provide the first investigation of the effectiveness of FFW to increase well-being and physical activity in adults with obesity in the United States of America., Methods: The study design is a large-scale, prospective, parallel group RCT. Approximately 9 hundred participants will be randomly assigned to the FFW or Usual Care (UC) group to achieve a 1:1 group (i.e., , Ffw: UC) assignment. Participants will be recruited through an online panel recruitment company. Data collection, including determination of eligibility, will be conducted online and enrollment is scheduled to begin on 8 August 2018. Data collection will occur at baseline, 30 days and 60 days after baseline. Instruments to measure demographic information, anthropometric characteristics, self-efficacy, physical activity and well-being will be included in the battery. Data will be modeled under an intent to treat approach and/or a complier average causal effect approach depending on the level of observed engagement with the intervention., Discussion: The effectiveness trial described in this paper builds upon the 2015 FFW efficacy trial and has the potential to be important for at least three reasons. The first reason is based upon a general scientific approach that the potential utility of interventions should be evaluated under both ideal (e.g., more controlled) and real-world (e.g., less controlled) conditions. The second reason is based upon the global need for readily scalable online behavioral interventions that effectively promote physical activity in adults. The third reason is based upon the troubling global trend toward obesity along with evidence for obesity as a risk factor for several major non-communicable diseases., Trial Registration: ClinicalTrials.gov, identifier: NCT03194854 , registered 21 June 2017.

The purpose of this article was to provide a substantive-methodological synergy of potential importance to future research in sport and exercise psychology. The substantive focus was to improve the measurement of coaching efficacy by developing a revised version of the coaching efficacy scale (CES) for head coaches (N = 557) of youth sport teams (CES II-YST). The methodological focus was exploratory structural equation modeling (ESEM), a methodology that integrates the advantages of exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) within the general structural equation model (SEM). The synergy was a demonstration of how ESEM (as compared with CFA) may be used, guided by content knowledge, to develop (or confirm) a measurement model for the CES II-YST. A single-group ESEM provided evidence for close model-data fit, while a single-group CFA fit significantly worse than the single-group ESEM and provided evidence for only approximate model-data fit. A multiple-group ESEM provided evidence for partial factorial invariance by coach's gender.

This study extended validity evidence for measures of coaching efficacy derived from the Coaching Efficacy Scale (CES) by testing the rating scale categorizations suggested in previous research. Previous research provided evidence for the effectiveness of a four-category (4-CAT) structure for high school and collegiate sports coaches; it also suggested that a five-category (5-CAT) structure may be effective for youth sports coaches, because they may be more likely to endorse categories on the lower end of the scale. Coaches of youth sports (N = 492) responded to the CES items with a 5-CAT structure. Across rating scale category effectiveness guidelines, 32 of 34 evidences (94%) provided support for this structure. Data were condensed to a 4-CAT structure by collapsing responses in Category 1 (CAT-1) and Category 2 (CAT-2). Across rating scale category effectiveness guidelines, 25 of 26 evidences (96%) provided support for this structure. Findings provided confirmatory, cross-validation evidence for both the 5-CAT and 4-CAT structures. For empirical, theoretical, and practical reasons, the authors concluded that the 4-CAT structure was preferable to the 5-CAT when CES items are used to measure coaching efficacy. This conclusion is based on the findings of this confirmatory study and the more exploratory findings of Myers, Wolfe, and Feltz (2005).

One aspect of construct validity is the extent to which the measurement properties of a rating scale are invariant across the groups being compared. An increasingly used method for assessing between-group differences in the measurement properties of items of a scale is the framework of differential item functioning (DIF). In this paper we introduce the concept of DIF as a validation tool for scales used in physical education and exercise science, and illustrate the use of the cumulative common log-odds ratio for assessing the presence of DIF with data from the Exercise Imagery Inventory (EII; Giacobbi, Hausenblas, & Penfield, 2005).

Purpose: The purpose of this manuscript is to provide a summary of Measurement in Physical Education and Exercise Science (MPEES)-related activities in 2021. Manuscripts submitted: In 2021 original submissions (i.e., not counting revised manuscripts) increased by [approximately]20% as compared to 2020. Fifty-eight countries were represented across the 464 original manuscripts submitted to MPEES in 2021. MPEES continues to welcome high-quality submissions from around the world in 2022. Manuscripts submitted by section: The seven sections of MPEES are: (1) exercise science, (2) physical activity, (3) physical education pedagogy, (4) psychology, (5) research methodology and statistics, (6) sport management and administration, and (7) tutorial and teacher's toolbox. More than three-fourths of the manuscripts submitted to MPEES in 2021 were submitted to one of three sections: exercise science or physical activity or research methodology and statistics. MPEES continues to welcome high-quality submissions within each of the seven sections that comprise the journal in 2022. Review process: Each of the original manuscripts submitted to MPEES in 2021 had received an initial decision by April 4, 2022 (i.e., 464 of the 464 manuscripts received). When an immediate decision (e.g., desk-rejection) was rendered by the editor-in-chief it always (i.e., for 369 of 369 manuscripts) occurred within 10 days of receiving the manuscript. When a manuscript was assigned to a section editor by the editor-in-chief it typically (i.e., for 91 of 95 manuscripts) received an initial decision within 90 days of receiving the manuscript. Twenty-four countries were represented across reviewers for the original manuscripts sent out for external review by MPEES in 2021. We gratefully acknowledge, and list in the Appendix, the many scholars (N = 151) from around the world who served as a reviewer for MPEES in 2021. Manuscripts published: Volume 25 (i.e., the volume published in 2021) of MPEES published a total of 37 manuscripts. More than two-thirds of the published manuscripts were submitted to one of two sections: exercise science or research methodology and statistics. MPEES continues to strive for publishing high-quality manuscripts within each of the seven sections that comprise the journal in 2022. Fourteen countries were represented across the manuscripts published in Volume 25 of MPEES. MPEES continues to strive for publishing high-quality manuscripts written by one or more authors from around the world in 2022. Impact factor: The 2020 impact factor for MPEES was 2.30 representing an increase of [approximately]31% compared to 2019 when the journal's impact factor was 1.75. The value of the 2020 impact factor placed MPEES in the second quartile (i.e., ranked #131 out of 265 journals) within the Education & Educational Research category of Clarivate Analytics. The 2021 impact factor for MPEES is expected to be released in [approximately]June 2022.

In physical education and exercise science, it is common to examine mean differences between groups or to assess change across time. However, before group differences or change can be confidently examined, measurement invariance can be tested. Measurement invariance tests the equivalence of a construct across groups or across time. If measurement invariance is supported, then differences in latent means can more confidently be attributed to individuals' different standings on a construct. Though an important first step to confidently examine group differences and change across time, this technique is sometimes not used in the field. Thus, the purpose of this manuscript was to provide a didactic review and illustration of measurement invariance within the field. We review a methodological approach to measurement invariance, the sequential steps used in this approach, assessing model-data fit, and testing partial invariance. We provide an illustration of the technique and conclude with practical considerations.

The purpose of this manuscript is to provide a summary of Measurement in Physical Education and Exercise Science (MPEES)-related activities in 2020. In 2020 original submissions (i.e., not counting revised manuscripts) increased by ~84% as compared to 2019. Fifty-three countries were represented across the 386 original manuscripts submitted to MPEES in 2020. MPEES continues to welcome high-quality submissions from around the world in 2021. The seven sections of MPEES are as follows: (1) exercise science; (2) physical activity; (3) physical education pedagogy; (4) psychology; (5) research methodology and statistics; (6) sport management and administration; and (7) tutorial and teacher's toolbox. More than three-fourths of the manuscripts that were submitted to MPEES in 2020 were submitted to one of the three sections: exercise science or physical activity or research methodology and statistics. MPEES continues to welcome high-quality submissions within each of the seven sections that comprise the journal in 2021. All of the original manuscripts that were submitted to MPEES in 2020 had received an initial decision by May 3, 2021 (i.e., 386 of the 386 manuscripts received). When an immediate decision (e.g., desk-rejection) was rendered by the editor-in-chief it always (i.e., for 288 of 288 manuscripts) occurred within 10 days of receiving the manuscript. When a manuscript was assigned to a section editor by the editor-in-chief it typically (i.e., for 90 of 98 manuscripts) received an initial decision within 90 days of receiving the manuscript. Twenty-three countries were represented across reviewers for the original manuscripts that were sent out for external review by MPEES in 2020. We gratefully acknowledge, and list in the Appendix, the many scholars (N = 176) from around the world who served as a reviewer for MPEES in 2020. Volume 24 (i.e., the volume published in 2020) of MPEES published a total of 32 manuscripts. More than three-fourths of the published manuscripts were submitted to one of the three sections: exercise science or physical activity or research methodology and statistics. MPEES continues to strive for publishing high-quality manuscripts within each of the seven sections that comprise the journal in 2021. Eleven countries were represented across the manuscripts published in Volume 24 of MPEES. MPEES continues to strive for publishing high-quality manuscripts written by one or more authors from around the world in 2021. The 2019 impact factor for MPEES (released in ~June 2020) was 1.75. The value of this impact factor placed MPEES in the second quartile (i.e., ranked #115 out of 263 journals) within the Education & Educational Research category of Clarivate Analytics.

Purpose: The purpose of this manuscript is to provide a summary of Measurement in Physical Education and Exercise Science (MPEES)-related activities in 2019. Manuscripts submitted: In 2019 original submissions (i.e., not counting revised manuscripts) increased by ~52% as compared to 2018. Thirty nine countries were represented across the 210 original manuscripts submitted to MPEES in 2019. MPEES continues to welcome high-quality submissions from around the world in 2020. Manuscripts submitted by section: The seven sections of MPEES are: (1) exercise science, (2) physical activity, (3) physical education pedagogy, (4) psychology, (5) research methodology and statistics, (6) sport management and administration, and (7) tutorial and teacher's toolbox. Approximately two-thirds of the manuscripts that were submitted to MPEES in 2019 were submitted to either the exercise science section or the physical activity section. MPEES continues to welcome high-quality submissions within each of the seven sections that comprise the journal in 2020. Review process: Most of the original manuscripts that were submitted to MPEES in 2019 had received an initial decision by February 14, 2020 (i.e., 209 of the 210 manuscripts received). When an immediate decision was rendered by the editor-in-chief it always (i.e., for 129 of 129 manuscripts) occurred within 10 days of receiving the manuscript. When a manuscript was assigned to a section editor by the editor-in-chief it typically (i.e., for 71 of 80 manuscripts) received an initial decision within 90 days of receiving the manuscript. Fourteen countries were represented across reviewers for the original manuscripts that were sent out for external review by MPEES in 2019. We gratefully acknowledge, and list in the Appendix, the many scholars (N = 151) from around the world who served as a reviewer for MPEES in 2019. Manuscripts published: Volume 23 (i.e., the volume published in 2019) of MPEES published a total of 34 manuscripts. More than three-fourths of the published manuscripts were submitted to the physical activity section, the exercise science section, the research methodology and statistics section, or the sport management and administration section. MPEES continues to strive for publishing high-quality manuscripts within each of the seven sections that comprise the journal in 2020. Thirteen countries were represented across the manuscripts published in Volume 23 of MPEES. MPEES continues to strive for publishing high-quality manuscripts written by one or more authors from around the world in 2020. Impact factor: On January 6th 2020 Clarivate Analytics notified the Taylor & Francis Group that MPEES (beginning with Volume 21(1) 2017) has been selected coverage in: Science Citation Index Expanded (also known as SciSearch), Journal Citation Reports/Science Edition, Social Sciences Citation Index®, Journal Citation Reports/Social Sciences Edition, Current Contents®/Social and Behavioral Sciences, and Current Contents®/Clinical Medicine. MPEES should receive its first impact factor in the 2019 impact factor release in June 2020!

The purpose of this annual report is to provide a summary of measurement in physical education and exercise science-related activities in 2017. A recent trend for an annual increase in manuscript submissions to measurement in physical education and exercise science continued in 2017. Twenty-nine countries were represented (i.e., corresponding author) with the United States of America, Canada, the United Kingdom, Brazil, Spain, and Australia collectively accounting for slightly more than two-thirds of the submissions. Measurement in physical education and exercise science continues to welcome high-quality submissions from around the world in 2018. More than three-quarters of the manuscripts that were submitted to measurement in physical education and exercise science in 2017 were submitted to the exercise science section or the physical activity section or the research methodology and statistics section. Measurement in physical education and exercise science continues to welcome high-quality submissions within each of the seven sections that comprise the journal in 2018. We also gratefully acknowledge the many scholars from around the world who served as a reviewer for measurement in physical education and exercise science in 2017. Twenty-two countries were represented with the United States, Australia, Hong Kong, Spain, the United Kingdom, Canada, and Germany collectively accounting for more than 85% of the total number of reviewers. Measurement in physical education and exercise science continues to welcome high-quality manuscript reviews from around the world in 2018. Volume 21 (i.e., the volume published in 2017) of measurement in physical education and exercise science published a total of 26 manuscripts. More than three-quarters of the published manuscripts were submitted to the research methodology and statistics section or the physical education pedagogy section or the exercise science section or the physical activity section. Twelve countries were represented with the United States of America, the United Kingdom, Canada, and Australia collectively accounting for approximately three-fourths of the publications. Measurement in physical education and exercise science continues to strive for publishing high-quality manuscripts from around the world in 2018.

Monte Carlo methods can be used in data analytic situations (e.g., validity studies) to make decisions about sample size and to estimate power. The purpose of using Monte Carlo methods in a validity study is to improve the methodological approach within a study where the primary focus is on construct validity issues and not on advancing statistical theory. The purpose of this study is to demonstrate how Monte Carlo methods can be used to determine sample size and to estimate power for a confirmatory factor analytic model under model-data conditions commonly encountered in exercise and sport. Because the purpose is pursued by way of demonstration with the Coaching Efficacy Scale II-High School Teams, related sample size recommendations are provided: N [greater than or equal to] 200 for the theoretical model; N [greater than or equal to] 300 for the population model. Technical terms (e.g., coverage) are defined when necessary. (Contains 1 figure and 3 tables.)

One aspect of construct validity is the extent to which the measurement properties of a rating scale are invariant across the groups being compared. An increasingly used method for assessing between-group differences in the measurement properties of items of a scale is the framework of differential item functioning (DIF). In this paper we introduce the concept of DIF as a validation tool for scales used in physical education and exercise science, and illustrate the use of the cumulative common log-odds ratio for assessing the presence of DIF with data from the Exercise Imagery Inventory (EII; Giacobbi, Hausenblas, & Penfield, 2005). (Contains 2 tables and 6 notes.)

Background: The purported benefits of online physical activity interventions, in terms of reduced costs, high reach, and easy access, may not be fully realized if participants do not engage with the programs. However, there is a lack of research on modifiable predictors (e.g., beliefs) of engagement with online physical activity interventions. The objective of this brief report was to investigate if self-efficacy to engage at baseline predicted subsequent engagement behavior in an online physical activity intervention at post-baseline. Methods: Data (N = 331) from the 2018 Fun For Wellness effectiveness trial (ClinicalTrials.gov, identifier: NCT03194854) were analyzed in this brief report. Multiple logistic regressionwas fit inMplus 8 using maximum-likelihood estimation. Results: There was evidence that self-efficacy to engage beliefs at baseline positively predicted subsequent engagement behavior in the Fun For Wellness intervention at 30 days post-baseline. Conclusions: Some recommendations to increase self-efficacy to engage in future online physical activity intervention studies were provided consistent with self-efficacy theory. [ABSTRACT FROM AUTHOR]

Use of information and communication technology to improve health, known as eHealth, is an emerging concept in healthcare that may present opportunities to promote physical activity in adults with obesity. The purpose of this research was to systematically review eHealth intervention studies to promote physical activity in adults with obesity. Five electronic databases were used. Two authors screened articles, assessed risk of bias, and extracted data independently. A qualitative data synthesis for summarizing the findings was performed using harvest plots. In the search, 2276 articles were identified, and 18 studies met all inclusion criteria. Study quality ranged from poor to good. The included studies varied in intervention technology (e.g., web-based), physical activity assessment (e.g., device-based), and control group (e.g., wait-list). Behavioral change techniques used in the included studies were consistent with some techniques (e.g., self-monitoring) known as effective in face-to-face interventions, but more efficiently employed in eHealth using information and communication technology. Overall, this systematic review showed that a web-based or physical activity monitor-based eHealth intervention had the potential to effectively promote physical activity in adults with obesity. Some recommendations for future eHealth interventions to promote physical activity in adults with obesity were provided (e.g., use of theory, accelerometers). [ABSTRACT FROM AUTHOR]

The purpose of this manuscript is to provide a summary of Measurement in Physical Education and Exercise Science (MPEES)-related activities in 2021. In 2021 original submissions (i.e., not counting revised manuscripts) increased by ~20% as compared to 2020. Fifty-eight countries were represented across the 464 original manuscripts submitted to MPEES in 2021. MPEES continues to welcome high-quality submissions from around the world in 2022. The seven sections of MPEES are: (1) exercise science, (2) physical activity, (3) physical education pedagogy, (4) psychology, (5) research methodology and statistics, (6) sport management and administration, and (7) tutorial and teacher's toolbox. More than three-fourths of the manuscripts submitted to MPEES in 2021 were submitted to one of three sections: exercise science or physical activity or research methodology and statistics. MPEES continues to welcome high-quality submissions within each of the seven sections that comprise the journal in 2022. Review process: Each of the original manuscripts submitted to MPEES in 2021 had received an initial decision by April 4, 2022 (i.e., 464 of the 464 manuscripts received). When an immediate decision (e.g., desk-rejection) was rendered by the editor-in-chief it always (i.e., for 369 of 369 manuscripts) occurred within 10 days of receiving the manuscript. When a manuscript was assigned to a section editor by the editor-in-chief it typically (i.e., for 91 of 95 manuscripts) received an initial decision within 90 days of receiving the manuscript. Twenty-four countries were represented across reviewers for the original manuscripts sent out for external review by MPEES in 2021. We gratefully acknowledge, and list in the Appendix, the many scholars (N = 151) from around the world who served as a reviewer for MPEES in 2021. Volume 25 (i.e., the volume published in 2021) of MPEES published a total of 37 manuscripts. More than two-thirds of the published manuscripts were submitted to one of two sections: exercise science or research methodology and statistics. MPEES continues to strive for publishing high-quality manuscripts within each of the seven sections that comprise the journal in 2022. Fourteen countries were represented across the manuscripts published in Volume 25 of MPEES. MPEES continues to strive for publishing high-quality manuscripts written by one or more authors from around the world in 2022. The 2020 impact factor for MPEES was 2.30 representing an increase of ~31% compared to 2019 when the journal's impact factor was 1.75. The value of the 2020 impact factor placed MPEES in the second quartile (i.e., ranked #131 out of 265 journals) within the Education & Educational Research category of Clarivate Analytics. The 2021 impact factor for MPEES is expected to be released in ~June 2022. [ABSTRACT FROM AUTHOR]

Personal trainers are a common social agent in the exercise workforce. However, little is known about their impact on the psychosocial or behavioral outcomes of their clients. This two-study project used the tripartite efficacy framework to elucidate the client outcomes of working with a personal trainer. The first study examined the multivariate relationship of clients' tripartite efficacy beliefs with their perceptions of their interpersonal relationship with their trainer. Overall, there was a strong positive multivariate relationship between the tripartite efficacy beliefs and perceptions of interpersonal closeness, complementarity, and commitment. The second study examined client tripartite efficacy beliefs as predictors of their self-reported behavioral outcomes of in-session effort and moderate-to-vigorous physical activity. Path analysis showed relation-inferred self-efficacy and other-efficacy to be significant and strong positive predictors of self-efficacy. Other-efficacy and self-efficacy were significant positive predictors of in-session effort. These findings highlight that personal trainers can influence the amount of effort clients put forth when the client is confident in the trainer's ability. Lay summary: We examined clients' relationships to their personal trainer and exercise behaviors. When clients felt confident in the relationship with their trainer, they felt closer and more connected to their trainer. Relationship confidence beliefs also influenced how hard clients worked during sessions with their trainer. Personal trainers should model behaviors that increase clients' confidence in the personal trainer–client working relationship. When the client is confident in their trainer, the client reports working harder during sessions. Clients' self-confidence beliefs are influenced by their perceptions of how the personal trainer feels about their ability during sessions. [ABSTRACT FROM AUTHOR]

In physical education and exercise science, it is common to examine mean differences between groups or to assess change across time. However, before group differences or change can be confidently examined, measurement invariance can be tested. Measurement invariance tests the equivalence of a construct across groups or across time. If measurement invariance is supported, then differences in latent means can more confidently be attributed to individuals' different standings on a construct. Though an important first step to confidently examine group differences and change across time, this technique is sometimes not used in the field. Thus, the purpose of this manuscript was to provide a didactic review and illustration of measurement invariance within the field. We review a methodological approach to measurement invariance, the sequential steps used in this approach, assessing model-data fit, and testing partial invariance. We provide an illustration of the technique and conclude with practical considerations. [ABSTRACT FROM AUTHOR]

The purpose of this manuscript is to provide a summary of Measurement in Physical Education and Exercise Science (MPEES)-related activities in 2020. In 2020 original submissions (i.e., not counting revised manuscripts) increased by ~84% as compared to 2019. Fifty-three countries were represented across the 386 original manuscripts submitted to MPEES in 2020. MPEES continues to welcome high-quality submissions from around the world in 2021. The seven sections of MPEES are as follows: (a) exercise science, (b) physical activity, (c) physical education pedagogy, (d) psychology, (e) research methodology and statistics, (f) sport management and administration, and (g) tutorial and teacher's toolbox. More than three-fourths of the manuscripts that were submitted to MPEES in 2020 were submitted to one of the three sections: exercise science or physical activity or research methodology and statistics. MPEES continues to welcome high-quality submissions within each of the seven sections that comprise the journal in 2021. All of the original manuscripts that were submitted to MPEES in 2020 had received an initial decision by May 3, 2021 (i.e., 386 of the 386 manuscripts received). When an immediate decision (e.g., desk-rejection) was rendered by the editor-in-chief it always (i.e., for 288 of 288 manuscripts) occurred within 10 days of receiving the manuscript. When a manuscript was assigned to a section editor by the editor-in-chief it typically (i.e., for 90 of 98 manuscripts) received an initial decision within 90 days of receiving the manuscript. Twenty-three countries were represented across reviewers for the original manuscripts that were sent out for external review by MPEES in 2020. We gratefully acknowledge, and list in the Appendix, the many scholars (N = 176) from around the world who served as a reviewer for MPEES in 2020. Volume 24 (i.e., the volume published in 2020) of MPEES published a total of 32 manuscripts. More than three-fourths of the published manuscripts were submitted to one of the three sections: exercise science or physical activity or research methodology and statistics. MPEES continues to strive for publishing high-quality manuscripts within each of the seven sections that comprise the journal in 2021. Eleven countries were represented across the manuscripts published in Volume 24 of MPEES. MPEES continues to strive for publishing high-quality manuscripts written by one or more authors from around the world in 2021. The 2019 impact factor for MPEES (released in ~June 2020) was 1.75. The value of this impact factor placed MPEES in the second quartile (i.e., ranked #115 out of 263 journals) within the Education & Educational Research category of Clarivate Analytics. [ABSTRACT FROM AUTHOR]

Longitudinal measurement enables the examination of behavioral or psychological change. One approach to examining longitudinal measurements is the use of latent growth curve modeling (LGCM). This approach affords the assessment of inter- and intraindividual change. Yet, this approach likely is underused in exercise science. The purpose of the current study was to describe and demonstrate the use of LGCM to examine change using multiple measurements in the field of exercise science. We first provide a substantive review of LGCM. We highlight the use of unconditional models to find an appropriate model of change, how and why to utilize autoregressions, and how to examine predictors of change in conditional models. We then provide an illustration of the approach using data from the Michigan State Motor Performance Study. In the conclusion, we discuss the advantages and limitations of the approach and suggest future directions when assessing longitudinal data in exercise science. [ABSTRACT FROM AUTHOR]

We tested whether exercising with a stronger simulated (i.e., software-generated) partner leads to greater work effort compared to exercising alone, to help those seeking to maintain or improve fitness levels with long-term high-intensity training, but who find it necessary or practical to exercise in social isolation. Forty-one middle-aged adults, who participated in at least 30 minutes of vigorous exercise 3x⋅wk-1, trained on a cycle ergometer 6 days per week for 24 weeks in an alternating regimen of moderate-intensity 30-minute continuous and 3 types of high-intensity interval sessions (8 x 30-second sprints, 6 x 2-minute ladders, and 4 x 4-minute intervals). They were assigned either no partner (control), an always superior partner, or a not always superior partner. Participants varied cycle power output to increase or decrease session intensity during the repeated moderate-intensity sessions (30-minute continuous) and 1 of the 3 high-intensity sessions (4 x 4-minute intervals). Changes in intensity were used as a measure of effort motivation over time. Nested multilevel models of effort trajectory were developed and alpha was set to 0.05. For continuous and interval sessions, effort trajectory was positive and significant for those with an always superior partner, but not significantly different from control. Within interval sessions, those with an always superior partner significantly increased effort in the fourth interval compared to control (p = 0.02). Exercising with an always superior partner leads to greater work efforts during the hardest interval training compared to exercising alone. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this manuscript is to provide a summary of Measurement in Physical Education and Exercise Science (MPEES)-related activities in 2019. Manuscripts submitted: In 2019 original submissions (i.e., not counting revised manuscripts) increased by ~52% as compared to 2018. Thirty nine countries were represented across the 210 original manuscripts submitted to MPEES in 2019. MPEES continues to welcome high-quality submissions from around the world in 2020. Manuscripts submitted by section: The seven sections of MPEES are: (1) exercise science, (2) physical activity, (3) physical education pedagogy, (4) psychology, (5) research methodology and statistics, (6) sport management and administration, and (7) tutorial and teacher's toolbox. Approximately two-thirds of the manuscripts that were submitted to MPEES in 2019 were submitted to either the exercise science section or the physical activity section. MPEES continues to welcome high-quality submissions within each of the seven sections that comprise the journal in 2020. Review process: Most of the original manuscripts that were submitted to MPEES in 2019 had received an initial decision by February 14, 2020 (i.e., 209 of the 210 manuscripts received). When an immediate decision was rendered by the editor-in-chief it always (i.e., for 129 of 129 manuscripts) occurred within 10 days of receiving the manuscript. When a manuscript was assigned to a section editor by the editor-in-chief it typically (i.e., for 71 of 80 manuscripts) received an initial decision within 90 days of receiving the manuscript. Fourteen countries were represented across reviewers for the original manuscripts that were sent out for external review by MPEES in 2019. We gratefully acknowledge, and list in the Appendix, the many scholars(N = 151) from around the world who served as a reviewer for MPEES in 2019. Manuscripts published: Volume 23 (i.e., the volume published in 2019) of MPEES published a total of 34 manuscripts. More than three-fourths of the published manuscripts were submitted to the physical activity section, the exercise science section, the research methodology and statistics section, or the sport management and administration section. MPEES continues to strive for publishing high-quality manuscripts within each of the seven sections that comprise the journal in 2020. Thirteen countries were represented across the manuscripts published in Volume 23 of MPEES. MPEES continues to strive for publishing high-quality manuscripts written by one or more authors from around the world in 2020. Impact factor: On January 6th 2020 Clarivate Analytics notified the Taylor & Francis Group that MPEES (beginning with Volume 21(1) 2017) has been selected coverage in: Science Citation Index Expanded (also known as SciSearch), Journal Citation Reports/Science Edition, Social Sciences Citation Index®, Journal Citation Reports/Social Sciences Edition, Current Contents®/Social and Behavioral Sciences, and Current Contents®/Clinical Medicine. MPEES should receive its first impact factor in the 2019 impact factor release in June 2020! [ABSTRACT FROM AUTHOR]

The article discusses a report on the activities of the Measurement in Physical Education and Exercise Science (MPEES) in 2018. Topics include the review of t leadership structures outside of the manuscript review process, the turnover in section editors, the increase in manuscript submissions and to continue the upward trend in manuscript submissions.

Background. One way to motivate people to exercise is to create a motivating social context, such as group exercise, due to social comparison opportunities. However, typical group exercise is not always easy for those who have problems in scheduling or social physique anxiety. Software-generated partners (SGPs) could offer a solution because they have advantages over human partners.Aim. This exploratory study examined the psychological state of flow under Köhler paradigm over a 24-week exergame with different types of SGPs: Individual Control (IC), Always Superior Partner (AWS), and Not Always Superior Partner (NAS).Method. The experiment was a 3 (Type of the partner) × 3 (Time blocks) factorial design. Fifteen participants engaged in the experiment. A multivariate multiple regression with type of SGPs predicting flow state at the second and third block was conducted.Results. Participants with an NAS partner had significantly higher flow state, as compared to participants under IC, at both blocks. Participants with an AWS partner had approximately equal flow state, as compared to participants under IC, at both blocks.Conclusions. Possible reasons for flow perceptions with different types of SGPs over time were discussed in terms of programming SGPs and flow theory. [ABSTRACT FROM AUTHOR]

The purpose of this manuscript is to provide a review of some key quantitative methods that are relevant to contemporary quantitative research in sport and exercise psychology. To achieve this purpose we provide a critical review of four quantitative methods that we believe are emergent in the sport and exercise psychology literature. The first quantitative method reviewed is sample size determination and power estimation in structural equation modelling. [Satorra, A., & Saris, W. E. (1985). Power of the likelihood ratio test in covariance structure analysis. Psychometrika, 50, 83-90. doi:10.1007/BF02294150]. The second quantitative method reviewed is exploratory structural equation modelling [Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 16, 397-438. doi:10.1080/10705510903008204]. The third quantitative method reviewed is mixture modelling [McLachlan, G., & Peel, D. (2000). Finite mixture models. New York, NY: John Wiley & Sons]. The final quantitative method reviewed is Bayesian structural equation modelling [Muthén, B., & Asparouhov, T. (2012). Bayesian structural equation modeling: A more flexible representation of substantive theory. Psychological Methods, 17, 313-335. doi:10.1037/a0026802]. We begin each review with an overview of the methodology, followed by a summary of one or more related applications in sport and exercise psychology research, and conclude with some ideas for possible future applications in sport and exercise psychology. [ABSTRACT FROM AUTHOR]

The purpose of this annual report is to provide a summary of measurement in physical education and exercise science-related activities in 2017. A recent trend for an annual increase in manuscript submissions to measurement in physical education and exercise science continued in 2017. Twenty-nine countries were represented (i.e., corresponding author) with the United States of America, Canada, the United Kingdom, Brazil, Spain, and Australia collectively accounting for slightly more than two-thirds of the submissions. Measurement in physical education and exercise science continues to welcome high-quality submissions from around the world in 2018. More than three-quarters of the manuscripts that were submitted to measurement in physical education and exercise science in 2017 were submitted to the exercise science section or the physical activity section or the research methodology and statistics section. Measurement in physical education and exercise science continues to welcome high-quality submissions within each of the seven sections that comprise the journal in 2018. We also gratefully acknowledge the many scholars from around the world who served as a reviewer for measurement in physical education and exercise science in 2017. Twenty-two countries were represented with the United States, Australia, Hong Kong, Spain, the United Kingdom, Canada, and Germany collectively accounting for more than 85% of the total number of reviewers. Measurement in physical education and exercise science continues to welcome high-quality manuscript reviews from around the world in 2018. Volume 21 (i.e., the volume published in 2017) of measurement in physical education and exercise science published a total of 26 manuscripts. More than three-quarters of the published manuscripts were submitted to the research methodology and statistics section or the physical education pedagogy section or the exercise science section or the physical activity section. Twelve countries were represented with the United States of America, the United Kingdom, Canada, and Australia collectively accounting for approximately three-fourths of the publications. Measurement in physical education and exercise science continues to strive for publishing highquality manuscripts from around the world in 2018. [ABSTRACT FROM AUTHOR]