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Examining Dimensionality and Validity of the Academic Integrity Survey Instrument

Author

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  • Zhidong Zhang

    (The University of Texas-Rio Grande Valley)

  • Luis Garcia

    (The University of Texas-Rio Grande Valley)

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.

Suggested Citation

  • Zhidong Zhang & Luis Garcia, 2023. "Examining Dimensionality and Validity of the Academic Integrity Survey Instrument," Journal of Education and Development, Julypress, vol. 7(1), pages 46-51, February.
    • Handle: RePEc:cxp:jededu:v:7:y:2023:i:1:p:46-51
    DOI: 10.20849/jed.v7i1.1326
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    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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