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Behavior Research Methods|November 23, 2022
Investigating the performance of level-specific fit indices in multilevel confirmatory factor analysis with dichotomous indicators: A Monte Carlo studyJohn J H Lin, Hsien-Yuan HsuBehavior Research Methods|February 26, 2025
Impact of prior specifications on performance of Bayesian factor mixture modelingYan Wang, Eunsook Kim, Hsien-Yuan HsuPsychological Methods|December 21, 2023
A systematic review of and reflection on the applications of factor mixture modelingEunsook Kim, Yan Wang, Hsien-Yuan HsuBehavior Research Methods|June 22, 2017
Analyzing individual growth with clustered longitudinal data: A comparison between model-based and design-based multilevel approachesHsien-Yuan Hsu, John J H Lin, Susan T SkidmoreFrontiers in Psychology|April 12, 2018
The Optimal Starting Model to Search for the Accurate Growth Trajectory in Latent Growth ModelsMinjung Kim, Hsien-Yuan Hsu, Oi-Man Kwok, et al.Psychological Assessment|July 20, 2011
Evidence of convergent and discriminant validity of child, teacher, and peer reports of teacher-student supportYan Li, Jan N Hughes, Oi-Man Kwok, et al.Behavior Research Methods|December 12, 2018
Evaluating fit indices in a multilevel latent growth curve model: A Monte Carlo studyHsien-Yuan Hsu, John J H Lin, Susan Troncoso Skidmore, et al.Educational and Psychological Measurement|May 26, 2018
The Impact of Intraclass Correlation on the Effectiveness of Level-Specific Fit Indices in Multilevel Structural Equation Modeling: A Monte Carlo StudyHsien-Yuan Hsu, Jr-Hung Lin, Oi-Man Kwok, et al.Multivariate Behavioral Research|November 27, 2015
Detecting Misspecified Multilevel Structural Equation Models with Common Fit Indices: A Monte Carlo StudyHsien-Yuan Hsu, Oi-Man Kwok, Jr Hung Lin, et al.Pageof 1