Sun‐Joo Cho

General mixture item response models with different item response structures: Exposition with an application to Likert scales

Dimensionality assessment of ordered polytomous items with parallel analysis.

Understanding Linkages Among Mixture Models

Person-centered methods in vocational research

Educational data mining and learning analytics for 21st century higher education: A review and synthesis

Number of Response Options, Reliability, Validity, and Potential Bias in the Use of the Likert Scale Education and Social Science Research: A Literature Review

Reading from paper compared to screens: A systematic review and meta‐analysis

Evaluation of Model Selection Strategies for Cross-Level Two-Way Differential Item Functioning Analysis

Educational data mining: A survey and a data mining-based analysis of recent works

Executive Function and Reading Comprehension: A Meta-Analytic Review

Investigating Sources of Heterogeneity with Three-Step Multilevel Factor Mixture Modeling: Beyond Testing Measurement Invariance in Cross-National Studies

Getting Ahead in the Communist Party: Explaining the Advancement of Central Committee Members in China

Non-Graphical Solutions for Cattell’s Scree Test

Factores que influyen en el profesorado de Educación Primaria al enviar deberes escolares

Latent Class Analysis: A Guide to Best Practice

Additive Multilevel Item Structure Models with Random Residuals: Item Modeling for Explanation and Item Generation

Model Selection Methods for Mixture Dichotomous IRT Models

A Note on Parameter Estimate Comparability

Latent Transition Analysis With a Mixture Item Response Theory Measurement Model

Accuracy of the Parallel Analysis Procedure With Polychoric Correlations

A Multilevel Mixture IRT Model With an Application to DIF

Explanatory Secondary Dimension Modeling of Latent Differential Item Functioning

Novel Approaches to Examine Passage, Student, and Question Effects on Reading Comprehension