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Testing Measurement Invariance with Ordinal Missing Data: A Comparison of Estimators and Missing Data Techniques
16 references·1 citing·32 second hop
Testing Measurement Invariance with Ordinal Missing Data: A Comparison of Estimators and Missing Data Techniques (2019)Testing Measurement Invariance with Ordin…The performance of ML, DWLS, and ULS estimation with robust corrections in structural equation models with ordinal variables. (2016)The performance of ML, DWLS, …A Comparison of Diagonal Weighted Least Squares Robust Estimation Techniques for Ordinal Data (2014)A Comparison of Diagonal Weig…When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. (2012)When can categorical variable…Statistical Approaches to Measurement Invariance (2012)Statistical Approaches to Mea…Principles and Practice of Structural Equation Modeling (2012)Principles and Practice of St…Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance (2007)Sensitivity of Goodness of Fi…Item factor analysis: Current approaches and future directions. 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705 cited
  • 1987On the Relationship between iTem Response Theory and Factor Analysis of Discretized Variables692 cited
  • 2016The performance of ML, DWLS, and ULS estimation with robust corrections in structural equation models with ordinal variables.687 cited
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    • 2022The Eight-Item Center for Epidemiological Studies Depression Scale in the English Longitudinal Study of Aging: Longitudinal and Gender Invariance, Sum Score Models, and External Associations43 cited