Development of a Psychometrically-Grounded Organizational Justice Scale in University Settings | IGI Global Scientific Publishing
Development of a Psychometrically-Grounded Organizational Justice Scale in University Settings

Development of a Psychometrically-Grounded Organizational Justice Scale in University Settings

Zainab Hamid, Shawkat Ahmad Shah
Copyright: © 2022 |Volume: 12 |Issue: 1 |Pages: 16
ISSN: 2155-7136|EISSN: 2155-7144|EISBN13: 9781683182160|DOI: 10.4018/IJCBPL.309129
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MLA

Hamid, Zainab, and Shawkat Ahmad Shah. "Development of a Psychometrically-Grounded Organizational Justice Scale in University Settings." IJCBPL vol.12, no.1 2022: pp.1-16. https://doi.org/10.4018/IJCBPL.309129

APA

Hamid, Z. & Shah, S. A. (2022). Development of a Psychometrically-Grounded Organizational Justice Scale in University Settings. International Journal of Cyber Behavior, Psychology and Learning (IJCBPL), 12(1), 1-16. https://doi.org/10.4018/IJCBPL.309129

Chicago

Hamid, Zainab, and Shawkat Ahmad Shah. "Development of a Psychometrically-Grounded Organizational Justice Scale in University Settings," International Journal of Cyber Behavior, Psychology and Learning (IJCBPL) 12, no.1: 1-16. https://doi.org/10.4018/IJCBPL.309129

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Abstract

The present study aimed to develop an indigenous, contextually relevant, and theoretically grounded tool for the assessment of organizational justice. The sample comprised of 250 university teachers selected randomly from major universities of Kashmir region of J&K, India. All the necessary psychometric procedures in the form of data screening, reliability analysis, and validity analysis were adopted to get the insights from the data. The preliminary analysis included data screening with a focus on checking the normality of the data set, accordingly P-P plots were plotted, and Skewness and Kurtosis values were examined and found satisfactory. This was followed by reliability analysis, which revealed satisfactory item-total correlations and Cronbach's Alpha. The other psychometric properties like exploratory factor analysis, confirmatory factor analysis, average variance extracted, Heterotrait-Monotrait ratio, and discriminant validity coefficients were also computed to ensure the proper standardization of measuring instruments, and all of these parameters were found to be satisfactory.

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