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Empowered to excel: Developing and validating an employee empowerment scale for universities

Linda Naidoo*, Mariette Coetzee

Department of Human Resource Management, University of South Africa, Pretoria, South Africa

* Corresponding Author: Linda Naidoo. Email: email

Journal of Psychology in Africa 2026, 36(2), 161-170. https://doi.org/10.32604/jpa.2026.073305

Abstract

This study tested the internal reliability and validity of a 28-item Employee Empowerment scale within a higher education context. A sample of 452 university employees (N = 452) from a South African higher education institution, comprising academics (46%), administrative staff (33%), and professional and managerial staff (21%), participated in the study. The participants were required to complete an employee empowerment questionnaire. The exploratory factor analysis and confirmatory factor analysis identified a three-construct measurement model for employee empowerment: management support, autonomy and decision-making, and access to information and resources. The results revealed that the research instrument was reliable for measuring employee empowerment at a higher education institution. The study adds to the existing body of knowledge of employee empowerment within the higher education environment.

Keywords

employee empowerment; autonomy and decision-making; management support; access to information and resources; higher education institution

Cite This Article

APA Style
Naidoo, L., Coetzee, M. (2026). Empowered to excel: Developing and validating an employee empowerment scale for universities. Journal of Psychology in Africa, 36(2), 161–170. https://doi.org/10.32604/jpa.2026.073305
Vancouver Style
Naidoo L, Coetzee M. Empowered to excel: Developing and validating an employee empowerment scale for universities. J Psychol Africa. 2026;36(2):161–170. https://doi.org/10.32604/jpa.2026.073305
IEEE Style
L. Naidoo and M. Coetzee, “Empowered to excel: Developing and validating an employee empowerment scale for universities,” J. Psychol. Africa, vol. 36, no. 2, pp. 161–170, 2026. https://doi.org/10.32604/jpa.2026.073305



cc Copyright © 2026 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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