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Latent Variable Regression 4-Level Hierarchical Model Using Multisite Multiple-Cohorts Longitudinal Data. CRESST Report 801
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Choi, Kilchan – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2011
This report explores a new latent variable regression 4-level hierarchical model for monitoring school performance over time using multisite multiple-cohorts longitudinal data. This kind of data set has a 4-level hierarchical structure: time-series observation nested within students who are nested within different cohorts of students. These…
Descriptors: Regression (Statistics), Models, School Effectiveness, Cohort Analysis