https://orcid.org/0000-0003-2614-2501
References
- Acock, A., Clarke, H. D., & Stewart, M. C. (1985). A new model for old measures: A covariance structure analysis of political efficacy. Journal of Politics, 47, 1062–1084. https://doi.org/10.2307/2130807
- Arruda, E. H., & Bentler, P. (2017). A regularized GLS for structural equation modeling. Structural Equation Modeling, 24, 657–665.
- Barrett, P. (2007). Structural equation modeling: Adjudging model fit. Personality and Individual Differences, 42(, 815–824. https://doi.org/10.1016/j.paid.2006.09.018
- Bentler, P. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238–246. https://doi.org/10.1037/0033-2909.107.2.238
- Bentler, P. (2006). EQS 6 structural equations program manual. Multivariate Software, Inc.
- Bentler, P., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88, 588–606. https://doi.org/10.1037/0033-2909.88.3.588
- Bollen, K. A. (1989). Structural equations with latent variables. John Wiley & Sons.
- Browne, M. W. (1974). Generalized least squares estimators in the analysis of covariances. South African Statistical Journal, 8, 1–24.
- Davidov, E. (2009). Measurement equivalence of nationalism and constructive patrioticsm in the ISSP: 34 Countries in a comparative perspectives. Political Analysis, 17, 64–82. https://doi.org/10.1093/pan/mpn014
- Feldman, S. (1988). Structure and consistency in public opinion: The role of core beliefs and values. American Journal of Political Science, 32, 416–440. https://doi.org/10.2307/2111130
- Goren, P. (2005). Party identification and core political values. American Journal of Political Science, 49, 881–896. https://doi.org/10.1111/j.1540-5907.2005.00161.x
- Hu, L.-T., Bentler, P., & Kano, Y. (1992). Can test statistics in covariance structure analysis be trusted? Psychological Bulletin, 112, 351–362. https://doi.org/10.1037/0033-2909.112.2.351
- Hu, L-t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. https://doi.org/10.1080/10705519909540118
- Jackson, D. L., Gillaspy, A. J., & Purc-Stephenson, R. (2009). Reporting practices in confirmatory factor analysis: An overview and some recommendations. Psychological Methods, 14, 6–23. https://doi.org/10.1037/a0014694
- Jöreskog, K. G. (1969). Some contribution to maximum likelihood factor analysis. Psychometrika, 34, 183–202. https://doi.org/10.1007/BF02289343
- Kenny, D. A., Kaniskan, B., & McCoach, D. B. (2015). The performance of RMSEA in models with small degrees of freedom. Sociological Methods & Research, 44, 486–507. https://doi.org/10.1177/0049124114543236
- Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford publications.
- Stone, B. (2021). The ethnical use of fit indices in structural equation modeling: Recommendations for psychologists. Frontiers in Psychology, 12, 783226. https://doi.org/10.3389/fpsyg.2021.783226
- Sullivan, J., Marcus, G., Feldman, S., & Piereson, J. (1981). The source of political tolerance: A multivariate analysis. American Political Science Review, 75, 92–106. https://doi.org/10.2307/1962161
- Xia, Y., & Yang, Y. (2019). RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The story they tell depends on the estimation methods. Behavior Research Methods, 51, 409–428. https://doi.org/10.3758/s13428-018-1055-2
- Yuan, K. H., & Bentler, P. (1999). On asymptotic distribution s of normal theory MLE in covariance structure analysis under some nonnormal distributions. Statistics and Probability Letters, 42, 107–113. https://doi.org/10.1016/S0167-7152(98)00171-0
- Yuan, K. H., & Liu, F. (2021). Which method is more reliable in performing model modification: Lasso regularization or Lagrange multiplier test? Structural Equation Modeling, 28, 69–81.
- Zheng, B. Q. (2023). Asian and Latino American political conceptualization: A dual-concept model. American Politics Research, 51, 182–196. https://doi.org/10.1177/1532673X221132479
- Zheng, B. Q. (2024). R package ‘RLS’: Reweighted least squares estimator. GitHub Repository. https://github.com/bqzheng/RLS
- Zheng, B. Q., & Bentler, P. M. (2021). Testing mean and covariance structures with reweighted least squares. Structural Equation Modeling: A Multidisciplinary Journal, 29, 259–266. https://doi.org/10.1080/10705511.2021.1977649
- Zheng, B. Q., & Bentler, P. M. (2023). RGLS and RLS in covariance structure analysis. Structural Equation Modeling, 30, 234–244. https://doi.org/10.1080/10705511.2022.2117182