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33.045 - Applications of Propensity Scoring and Latent Variable Methodologies in Large-Scale Database Analyses

Fri, April 17, 2:15 to 3:45pm, Marriott, Floor: Sixth Level, Northwestern/Ohio State

Session Type: Paper Session

Abstract

In this session, researchers will present four papers that illustrate how sophisticated secondary analyses of complex, large-scale data can be used to address questions of interest to educators and policy-makers. Two of these papers make use of latent variable modeling techniques (i.e., latent transition analysis and latent profile analyses), while two more illustrate the use of propensity score methodologies. Datasets from the National Center for Education Statistics and from statewide longitudinal data systems are used in these analyses.

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