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Applied Psychological Measurement|June 9, 2018
Obtaining Fixed Effects for Between-Within Designs in Explanatory Longitudinal Item Response Models Using MplusSun-Joo Cho, Youngsuk Suh
Applied Psychological Measurement|June 9, 2018
A Note on Parameter Estimate Comparability: Across Latent Classes in Mixture IRT ModelingInsu Paek, Sun-Joo Cho
The British Journal of Mathematical and Statistical Psychology|March 31, 2015
Multilevel multidimensional item response model with a multilevel latent covariateSun-Joo Cho, Brian Bottge
Psychometrika|June 5, 2021
Not all DIF is shaped similarlyPaul De Boeck, Sun-Joo Cho
Educational and Psychological Measurement|May 26, 2018
Measurement Error Correction Formula for Cluster-Level Group Differences in Cluster Randomized and Observational StudiesSun-Joo Cho, Kristopher J Preacher
Applied Psychological Measurement|June 9, 2018
A Note on N in Bayesian Information Criterion for Item Response ModelsSun-Joo Cho, Paul De Boeck
Psychometrika|April 3, 2016
Modeling Learning in Doubly Multilevel Binary Longitudinal Data Using Generalized Linear Mixed Models: An Application to Measuring and Explaining Word LearningSun-Joo Cho, Amanda P Goodwin
Applied Psychological Measurement|June 9, 2018
A Multilevel Longitudinal Nested Logit Model for Measuring Changes in Correct Response and Error TypesYoungsuk Suh, Sun-Joo Cho, Brian A Bottge
Applied Psychological Measurement|June 9, 2018
After Differential Item Functioning Is Detected: IRT Item Calibration and Scoring in the Presence of DIFSun-Joo Cho, Youngsuk Suh, Woo-Yeol Lee
Psychometrika|August 10, 2014
Detecting intervention effects using a multilevel latent transition analysis with a mixture IRT modelSun-Joo Cho, Allan S Cohen, Brian Bottge
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