Investigating the Factors Affecting Performance Evaluation Strategies in the Ministry of Justice Using a Structural Equation Modeling Approach
Keywords:
Ministry of Justice, Performance Evaluation, Structural Equation ModelingAbstract
This study aimed to investigate the factors affecting performance evaluation strategies in the Ministry of Justice and to explain the structural relationships among causal conditions, intervening conditions, contextual factors, the central category, strategies, and performance-related consequences. This applied, quantitative, descriptive-correlational, and cross-sectional study was conducted among 598 employees of the Ministry of Justice in Tehran. Based on Cochran’s formula, 234 participants were selected. Data were collected using a 44-item questionnaire covering six main constructs: causal conditions, intervening conditions, contextual factors, the central category, strategies, and consequences, scored on a five-point Likert scale. Face and content validity were assessed by experts, and the mean content validity ratio was 0.796. Reliability was confirmed using Cronbach’s alpha coefficients. Data were analyzed using confirmatory factor analysis and structural equation modeling in AMOS. Confirmatory factor analysis showed that 40 items had factor loadings above 0.50, while four items were removed from the model. Model fit indices were GFI=0.91, NFI=0.88, RFI=0.92, IFI=0.91, and CFI=0.81, indicating an overall acceptable fit. Causal conditions had a positive and significant effect on the central category (β=0.68, p<0.001), and intervening conditions also had a significant positive effect (β=0.49, p=0.007). Contextual factors had the strongest effect on the central category (β=0.76, p<0.001). The central category significantly affected strategies (β=0.71, p<0.001), while strategies significantly predicted consequences (β=0.66, p<0.001). Performance evaluation strategies in the Ministry of Justice are shaped through a multilevel structural mechanism. Strengthening organizational and technological contexts, causal factors, central processes, and appropriate strategies can improve organizational and social outcomes. Therefore, performance evaluation systems should emphasize transparency, specialization, technology, effective supervision, and the integration of evaluation results into managerial decision-making.
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