Fitting the Women’s Empowerment Model for Promotion to Managerial Positions in the Ministry of Energy Using Confirmatory Factor Analysis

Abstract

Objective: This study aims to fit a women’s empowerment model to facilitate their promotion to managerial positions within the Ministry of Energy using confirmatory factor analysis.Methodology: This research employed a quantitative, correlational, and causal design. The statistical population included 425 employees of the Ministry of Energy, from which 202 participants were selected using Cochran's formula. A questionnaire was used for data collection. Its validity was confirmed by academic experts, and its reliability was established via Cronbach’s alpha coefficients exceeding 0.7. Descriptive statistics were used for demographic profiling, while inferential statistics included confirmatory factor analysis and structural equation modeling, analyzed using SPSS 25 and LISREL 8.8.Findings: The confirmatory factor analysis showed that all model components had factor loadings above 0.4, and T-values exceeded 1.96, indicating statistically significant relationships and acceptable model fit. Structural equation modeling results demonstrated that the five research variables—women’s competencies, organizational variables, managerial performance, gender stereotypes, and psychological traits—had significant and positive effects on one another.Conclusion: The validated theoretical model and significant inter-variable relationships confirm that empowering women through enhancing individual competencies, eliminating gender stereotypes, promoting organizational support, and strengthening psychological traits can effectively facilitate their promotion to managerial roles.Objective: This study aims to fit a women’s empowerment model to facilitate their promotion to managerial positions within the Ministry of Energy using confirmatory factor analysis.Methodology: This research employed a quantitative, correlational, and causal design. The statistical population included 425 employees of the Ministry of Energy, from which 202 participants were selected using Cochran's formula. A questionnaire was used for data collection. Its validity was confirmed by academic experts, and its reliability was established via Cronbach’s alpha coefficients exceeding 0.7. Descriptive statistics were used for demographic profiling, while inferential statistics included confirmatory factor analysis and structural equation modeling, analyzed using SPSS 25 and LISREL 8.8.Findings: The confirmatory factor analysis showed that all model components had factor loadings above 0.4, and T-values exceeded 1.96,