The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
How motivation affects academic performance: a structural equation modelling analysis
Open accessAbstract
Few studies in medical education have studied effect of quality of motivation on performance. Self-Determination Theory based on quality of motivation differentiates between Autonomous Motivation (AM) that originates within an individual and Controlled Motivation (CM) that originates from external sources. To determine whether Relative Autonomous Motivation (RAM, a measure of the balance between AM and CM) affects academic performance through good study strategy and higher study effort and compare this model between subgroups: males and females; students selected via two different systems namely qualitative and weighted lottery selection. Data on motivation, study strategy and effort was collected from 383 medical students of VU University Medical Center Amsterdam and their academic performance results were obtained from the student administration. Structural Equation Modelling analysis technique was used to test a hypothesized model in which high RAM would positively affect Good Study Strategy (GSS) and study effort, which in turn would positively affect academic performance in the form of grade point averages. This model fit well with the data, Chi square = 1.095, df = 3, p = 0.778, RMSEA model fit = 0.000. This model also fitted well for all tested subgroups of students. Differences were found in the strength of relationships between the variables for the different subgroups as expected. In conclusion, RAM positively correlated with academic performance through deep strategy towards study and higher study effort. This model seems valid in medical education in subgroups such as males, females, students selected by qualitative and weighted lottery selection.
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Cites
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“We also wanted to study the difference between how the model works in males and females as it has been found before that males have higher CM and lower AM than females (Vansteenkiste et al. 2009; Ratelle et al. 2007; Sobral 2004; Kusurkar et al. submitted).”
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Cited by
Intrinsic motivation and extrinsic incentives jointly predict performance: A 40-year meta-analysis.
Cerasoli, C. P., Nicklin, J. M., & Ford, M. T. (2014) · Psychological Bulletin · doi:10.1037/a0035661 · Cited by 1,981
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Jang, H., Reeve, J., & Halusic, M. (2016) · The Journal of Experimental Education · doi:10.1080/00220973.2015.1083522 · Cited by 292
León, J., Núñez, J. L., & Liew, J. (2015) · Learning and Individual Differences · doi:10.1016/j.lindif.2015.08.017 · Cited by 283
Autonomy Support in the Classroom: A Review From Self-Determination Theory
Núñez, J. L., & León, J. (2015) · European Psychologist · doi:10.1027/1016-9040/a000234 · Cited by 159
Metadata
- Authors
- Kusurkar, R. A., Ten Cate, T. J., Vos, C. M. P., Westers, P., & Croiset, G.
- Venue
- Advances in Health Sciences Education
- Published
- 2012-02-22
- Volume
- 18
- Issue
- 1
- Pages
- 57-69
- ISSN
- 1382-4996 (ISSN-L)
- 1573-1677
- OpenAlex
- W2065621851
- Cited by
- 591
- References
- 31
- FWCI
- 22.98
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Kusurkar, R. A., Ten Cate, T. J., Vos, C. M. P., Westers, P., & Croiset, G. (2013). How motivation affects academic performance: a structural equation modelling analysis. Advances in Health Sciences Education. https://doi.org/10.1007/s10459-012-9354-3
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.