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Kim De Roover. (2021) Finding Clusters of Groups with Measurement Invariance: Unraveling Intercept Non-Invariance with Mixture Multigroup Factor Analysis. Structural Equation Modeling: A Multidisciplinary Journal 28:5, pages 663-683.
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Luisa Grützmacher, Svenja Vieluf & Johannes Hartig. (2021) Are questionnaire scales which measure non-cognitive constructs suitable as school effectiveness criteria? A measurement invariance analysis. School Effectiveness and School Improvement 32:3, pages 430-447.
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Elena Geminiani, Eva Ceulemans & Kim De Roover. (2021) Testing for Factor Loading Differences in Mixture Simultaneous Factor Analysis: A Monte Carlo Simulation-Based Perspective. Structural Equation Modeling: A Multidisciplinary Journal 28:3, pages 391-409.
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Artur Pokropek, Peter Schmidt & Eldad Davidov. (2020) Choosing Priors in Bayesian Measurement Invariance Modeling: A Monte Carlo Simulation Study. Structural Equation Modeling: A Multidisciplinary Journal 27:5, pages 750-764.
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Xinya Liang & Yong Luo. (2020) A Comprehensive Comparison of Model Selection Methods for Testing Factorial Invariance. Structural Equation Modeling: A Multidisciplinary Journal 27:3, pages 380-395.
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Dubravka Svetina, Leslie Rutkowski & David Rutkowski. (2020) Multiple-Group Invariance with Categorical Outcomes Using Updated Guidelines: An Illustration Using Mplus and the lavaan/semTools Packages. Structural Equation Modeling: A Multidisciplinary Journal 27:1, pages 111-130.
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Nate Breznau. (2019) The underlying Public Attitude Toward Government Responsibility to Intervene in Socioeconomics, 30 Years of Evidence from the ISSP. International Journal of Sociology 49:3, pages 182-203.
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