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A Bifactor Analysis Approach to Construct Validity and Reliability of the Affective Exercise Experience Questionnaire among Chinese College Students

Ting Wang1, Markus Gerber2, Fabian Herold3, Joseph Bardeen4, Sebastian Ludyga2, Alyx Taylor5, Arthur F. Kramer6,7, Liye Zou1,*

1 Body-Brain-Mind Laboratory, School of Psychology, Shenzhen University, Shenzhen, 518060, China
2 Department of Sport, Exercise & Health, University of Basel, Basel, Switzerland
3 Research Group Degenerative and Chronic Diseases, Movement, Faculty of Health Sciences Brandenburg, University of Potsdam, Potsdam, Germany
4 Department of Psychological Sciences, Auburn University, Auburn, 36849, USA
5 School of Rehabilitation, Sport and Psychology, AECC University College, Bournemouth, BH5 2DF, UK
6 Center for Cognitive and Brain Health, Northeastern University, Boston, MA, 02115, USA
7 Beckman Institute, University of Illinois at Urbana-Champaign, Champaign, IL, 61820, USA

* Corresponding Author: Liye Zou. Email: email

International Journal of Mental Health Promotion 2023, 25(9), 995-1008. https://doi.org/10.32604/ijmhp.2023.029804

Abstract

Affective exercise experience as an emerging theoretical concept has great potential to provide a more nuanced understanding of individual factors that influence exercise behavior. However, concerning the Affective Exercise Experiences (AFFEXX) questionnaire, it has not been examined yet whether the structural score of the AFFEXX is a useful index to predict physical activity (refers to any bodily movement produced by skeletal muscles that requires energy expenditure). Furthermore, there is currently a gap in knowledge regarding the psychological mechanisms that can explain the relationship between affective exercise experiences and the level of physical activity (PA). In order to adress these gaps in the literature, we conducted two studies among Chinese collge students that aimed (i) to investigated whether the total score of the three AFFEXX-C constructs (antecedent appraisals, core affective exercise experiences, and attraction-antipathy towards exercise) is a relaible indicator that can be utilized in research and pratical settings and (ii) to evalute the specific psychological mechanisms that can explain the relationship between affective exercise experience and PA. In Study 1, we recruited 801 voluntary Chinese college students for bifactor and correlational analyses. In Study 2, 875 Chinese college students were enrolled to verify our findings from Study 1 and to explore the aforementioned mechanism. Results from the bifactor analyses supported our hypothesis that the total scores of the three AFFEXX-C constructs can be used among Chinese college students to establish a link with PA. Additionally, our results suggested that core affective exercise experiences and attraction-antipathy mediated the relationship between antecedent appraisals and the level of moderate-to-vigorous intensity PA. Therefore, measuring affective exercise experiences using the AFFEXX-C, specifically the total scores of each individual construct may be a useful approach to predict future PA levels.

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APA Style
Wang, T., Gerber, M., Herold, F., Bardeen, J., Ludyga, S. et al. (2023). A bifactor analysis approach to construct validity and reliability of the affective exercise experience questionnaire among chinese college students. International Journal of Mental Health Promotion, 25(9), 995-1008. https://doi.org/10.32604/ijmhp.2023.029804
Vancouver Style
Wang T, Gerber M, Herold F, Bardeen J, Ludyga S, Taylor A, et al. A bifactor analysis approach to construct validity and reliability of the affective exercise experience questionnaire among chinese college students. Int J Ment Health Promot. 2023;25(9):995-1008 https://doi.org/10.32604/ijmhp.2023.029804
IEEE Style
T. Wang et al., "A Bifactor Analysis Approach to Construct Validity and Reliability of the Affective Exercise Experience Questionnaire among Chinese College Students," Int. J. Ment. Health Promot., vol. 25, no. 9, pp. 995-1008. 2023. https://doi.org/10.32604/ijmhp.2023.029804



cc Copyright © 2023 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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