The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Attempted Validation of the Scores of the VARK: Learning Styles Inventory With Multitrait–Multimethod Confirmatory Factor Analysis Models
Abstract
The authors examined the dimensionality of the VARK learning styles inventory. The VARK measures four perceptual preferences: visual (V), aural (A), read/write (R), and kinesthetic (K). VARK questions can be viewed as testlets because respondents can select multiple items within a question. The correlations between items within testlets are a type of method effect. Four multitrait—multimethod confirmatory factor analysis models were compared to evaluate the dimensionality of the VARK. The correlated trait—correlated method model had the best fit to the VARK scores. The estimated reliability coefficients were adequate. The study found preliminary support for the validity of the VARK scores. Potential problems related to item wording and the scale’s scoring algorithm were identified, and cautions with respect to using the VARK with research were raised.
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Effective teaching of manual skills to physiotherapy students: a randomised clinical trial
Rossettini, G., Rondoni, A., Palese, A., Cecchetto, S., Vicentini, M., Bettale, F., Furri, L., & Testa, M. (2017) · Medical Education · doi:10.1111/medu.13347 · Cited by 57
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Encouraging student ethical behavior through ethical climate in higher education
Susilowati, N., Kusmuriyanto, K., & Abiprayu, K. B. (2021) · Journal of Education and Learning (EduLearn) · doi:10.11591/edulearn.v15i2.19271 · Cited by 15
Metadata
- Authors
- Leite, W. L., Svinicki, M., & Shi, Y.
- Venue
- Educational and Psychological Measurement
- Publisher
- SAGE Publications
- Published
- 2009-08-31
- Volume
- 70
- Issue
- 2
- Pages
- 323-339
- ISSN
- 0013-1644 (ISSN-L)
- 1552-3888
- OpenAlex
- W2043726016
- Cited by
- 448
- References
- 33
- FWCI
- 23.07
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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