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Original Articles

A Moderated Nonlinear Factor Model for the Development of Commensurate Measures in Integrative Data Analysis

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Daniel J. Bauer, William C. M. Belzak & Veronica T. Cole. (2020) Simplifying the Assessment of Measurement Invariance over Multiple Background Variables: Using Regularized Moderated Nonlinear Factor Analysis to Detect Differential Item Functioning. Structural Equation Modeling: A Multidisciplinary Journal 27:1, pages 43-55.
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Maria Bolsinova & Dylan Molenaar. (2019) Nonlinear Indicator-Level Moderation in Latent Variable Models. Multivariate Behavioral Research 54:1, pages 62-84.
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Patrick J. Curran, Veronica T. Cole, Daniel J. Bauer, W. Andrew Rothenberg & Andrea M. Hussong. (2018) Recovering Predictor–Criterion Relations Using Covariate-Informed Factor Score Estimates. Structural Equation Modeling: A Multidisciplinary Journal 25:6, pages 860-875.
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Patrick J. Curran, Veronica Cole, Daniel J. Bauer, Andrea M. Hussong & Nisha Gottfredson. (2016) Improving Factor Score Estimation Through the Use of Observed Background Characteristics. Structural Equation Modeling: A Multidisciplinary Journal 23:6, pages 827-844.
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Andrea Hildebrandt, Oliver Lüdtke, Alexander Robitzsch, Christopher Sommer & Oliver Wilhelm. (2016) Exploring Factor Model Parameters across Continuous Variables with Local Structural Equation Models. Multivariate Behavioral Research 51:2-3, pages 257-258.
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