4 papers
Rethinking Structural Equation Modeling in Political Science: Challenges, Best Practices, and Future Directions
Bang Quan Zheng
Structural Equation Modeling (SEM) or Covariance Structure Analysis (CSA) is a versatile and powerful method in the social and behavioral sciences, providing a framework for modeli…
Improved LM Test for Robust Model Specification Searches in Covariance Structure Analysis
Bang Quan Zheng, Peter M. Bentler
Covariance Structure Analysis (CSA) or Structural Equation Modeling (SEM) is critical for political scientists measuring latent structural relationships, allowing for the simultane…
Group Differences in Opinion Instability and Measurement Errors: A G-Theory Analysis of College Students
Bang Quan Zheng
This study examines opinion instability among individuals from different ethnic groups (White, Latino, and Asian Americans) by analyzing measurement errors in survey measures. Usin…
Enhancing Model Fit Evaluation in SEM: Practical Tips for Optimizing Chi-Square Tests
Bang Quan Zheng, Peter M. Bentler
This paper underscores the vital role of the chi-square test within political science research utilizing structural equation modeling (SEM). The ongoing debate regarding the inclus…