Motivation dimensions for running a marathon:A new model emerging from the Motivation of Marathon Sc

来源 :Journal of Sport and Health Science | 被引量 : 0次 | 上传用户:eltonlijun
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Purpose:The aim of this study was to test and expand the Motivation of Marathoners Scale(MOMS) model(Masters et al.,1993).Methods:The MOMS questionnaire was distributed to 306 male and female marathon runners(age range:20–77 years) with experience in marathon running(range:1–44 runs).A confirmatory factor analysis(CFA) revealed that the original model failed to fit the data.Hence,exploratory factor analysis(EFA) was performed to test the best factorial solution for the current data,and a subsequent CFA was performed on the revised factorial structure.Then,a series of EFAs using maximum likelihood factor extraction method were performed.Results:The best structure solution for model-data fit resulted in 11 factors:psychological coping—emotional-related coping,psychological coping—everyday-life management,life meaning,self-esteem,recognition,affiliation,weight concerns,general health orientation—reduced disease prevalence and longevity,general health orientation—keep fit,competition,and personal goal achievement.Conclusion:This study provides a sound and solid framework for studying motivation for physically demanding tasks such as marathon runs,and needs to be similarly applied and tested in studies incorporating physical tasks which vary in mental demands. Purpose: The aim of this study was to test and expand the Motivation of Marathoners Scale (MOMS) model (Masters et al., 1993). Methods: The MOMS questionnaire was distributed to 306 male and female marathon runners (age range: 20- 77 years) with experience in marathon running (range: 1-44 runs) .A confirmatory factor analysis (CFA) revealed that the original model failed to fit the data .ence, exploratory factor analysis (EFA) was performed to test the best factorial solution for the current data, and a subsequent CFA was performed on the revised factorial structure. Chen, a series of EFAs using maximum likelihood factor extraction method were performed. Results: The best structure solution for model-data fit resulted in 11 factors: psychological coping-emotional-related coping, psychological coping-everyday-life management, life meaning, self-esteem, recognition, affiliation, weight concerns, general health orientation-reduced disease prevalence and longevity, general health orientation-keep fit, compe tition, and personal goal achievement. Conclusion: This study provides a sound and solid framework for studying motivation for physically demanding tasks such as marathon runs, and needs to be similarly applied and tested in studies incorporating physical tasks which vary in mental resistance.
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