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Direct linkCao, Chunhua; Kim, Eun Sook; Chen, Yi-Hsin; Ferron, John; Stark, Stephen – Educational and Psychological Measurement, 2019
In multilevel multiple-indicator multiple-cause (MIMIC) models, covariates can interact at the within level, at the between level, or across levels. This study examines the performance of multilevel MIMIC models in estimating and detecting the interaction effect of two covariates through a simulation and provides an empirical demonstration of…
Descriptors: Hierarchical Linear Modeling, Structural Equation Models, Computation, Identification
Silberglitt, Benjamin; Appleton, James J.; Burns, Matthew K.; Jimerson, Shane R. – Journal of School Psychology, 2006
Grade retention is an intervention that has received increasing scrutiny as policies, practices, and results of research diverge. This longitudinal study examines the reading growth trajectories of students (n=147) from first-through eighth-grade. Hierarchical Linear Modeling (HLM) analytic procedures provide unique insights regarding the relative…
Descriptors: Grade Repetition, Reading Achievement, Longitudinal Studies, Intervention
