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      Modelling the associations between academic engagement, study process and grit on academic achievement of physical education and sport university students

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          Abstract

          Objective

          The present study examined the impact of academic engagement, study processes, and grit on the academic achievement of physical education and sport university students.

          Methods

          An internet-based survey recruited 459 university students aged 19–25 years (M = 21 ± 1.3) in physical education and sports (PES) to fill out questionnaires on Physical Education-Study Process Questionnaire (PE-SPQ), Physical Education-Grit (PE-Grit), academic engagement (A-USEI), and Grade Point Average (GPA). A path analysis was carried out to understand variable relationships.

          Results

          Data from each variable exhibited symmetrical and normal distribution, as indicated by the skewness and kurtosis values. The model’s fit indices showed sufficient Comparative Fit Index (CFI = 0.92), Tucker-Lewis Index (TLI = 0.90), Goodness of Fit Index (GFI = 0.99) and Normed Fit Index (NFI = 0.90) and showed acceptable levels. The results indicated a statistically significant positive impact of engagement ( β = 0.299, p < 0.001) and study processes ( β = 0.397, p < 0.001) on academic achievement. However, the effect of grit on achievement was non-significant.

          Conclusions

          Academic engagement as well as study processes are two important factors predicting academic achievement while grit seems to be not a major predictor. Hence, physical education and sport faculty and university administrators should prioritize student engagement as a determinant of academic outcomes by reforming or redesigning physical education and sport curriculum modules that can facilitate engagement.

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          Most cited references70

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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            World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects.

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              Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

              G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
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                Author and article information

                Contributors
                elvis.hagan@ucc.edu.gh
                Journal
                BMC Psychol
                BMC Psychol
                BMC Psychology
                BioMed Central (London )
                2050-7283
                28 November 2023
                28 November 2023
                2023
                : 11
                : 418
                Affiliations
                [1 ]Higher Institute of Sport and Physical Education of Kef, University of Jendouba, ( https://ror.org/000g0zm60) Jendouba, Tunisia
                [2 ]Higher Institute of Sport, and Physical Education of Sfax, University of Sfax, ( https://ror.org/04d4sd432) Sfax, Tunisia
                [3 ]Postgraduate School of Public Health, Department of Health Sciences, University of Genoa, ( https://ror.org/0107c5v14) Genoa, Italy
                [4 ]Group for the Study of Development and Social Environment, Faculty of Human and Social Science of Sfax, Sfax, Tunisia
                [5 ]Department of Educational Foundations, University of Education, ( https://ror.org/00y1ekh28) Winneba, Ghana
                [6 ]Department of Education, Higher Institute of Sport, and Physical Education of Gafsa, University of Gafsa, ( https://ror.org/01kzjzn40) Gafsa, Tunisia
                [7 ]Department of Health and Nursing Science, Faculty of Social and Health Sciences, Inland Norway University of Applied Sciences, ( https://ror.org/02dx4dc92) Elverum, Norway
                [8 ]Department of Health, Faculty of Health Studies, VID Specialized University, ( https://ror.org/0191b3351) Stavanger, Norway
                [9 ]Department of Health, Physical Education, Recreation and Sports, University of Education, ( https://ror.org/00y1ekh28) Winneba, Ghana
                [10 ]Department of Health, Physical Education and Recreation, University of Cape Coast, PMB, ( https://ror.org/0492nfe34) Cape Coast, Ghana
                [11 ]Neurocognition and Action-Biomechanics-Research Group, Faculty of Psychology and Sports Science, Bielefeld University, ( https://ror.org/02hpadn98) Bielefeld, Germany
                [12 ]Faculty of Human Development, Sultan Idris Education University, ( https://ror.org/005bjd415) Tanjong Malim, Malaysia
                [13 ]Department of Neuroscience, University of Genoa, ( https://ror.org/0107c5v14) Genoa, Italy
                [14 ]Laboratory for Industrial and Applied Mathematics, York University, ( https://ror.org/05fq50484) Toronto, ON Canada
                Article
                1454
                10.1186/s40359-023-01454-2
                10685647
                38017589
                0a366abe-7fa6-4d28-8020-e439634171d0
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 22 July 2023
                : 19 November 2023
                Funding
                Funded by: Universität Bielefeld (3146)
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                learning outcomes,performance,higher education,student engagement,educational psychology

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