Examining Dimensionality and Validity of the Academic Integrity Survey Instrument

Authors

Zhidong Zhang, The University of Texas Rio Grande Valley
Luis Garcia, The University of Texas Rio Grande Valley

Document Type

Article

Publication Date

2-15-2023

Abstract

Dimensional reduction is one of the methods to ensure the quality of a questionnaire. This study examined two methods to reduce the dimension of the questionnaire: multidimensional scaling (MDS) and exploratory factor analysis (EFA). The questionnaire, Awareness of Academic Dishonesty consists of 30 questions. Participants included 110 college students. Multidimensional scaling analysis reduced the multidimensions to essentially two dimensions. The exploratory factor analysis reduced the multidimensions to three dimensions. MDS allowed the researchers to evaluate the questionnaire items by looking at the similarities of these data points. EFA provided an alternative thought about the construct of the questionnaire.

Comments

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This work is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

Zhang, Z., & Garcia, L. (2023). Examining Dimensionality and Validity of the Academic Integrity Survey Instrument. Journal of Education and Development, 7(1), 46-51. https://doi.org/10.20849/jed.v7i1.1326

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Publication Title

Journal of Education and Development

DOI

10.20849/jed.v7i1.1326