The application of propensity score estimates in hierarchical linear models for causal inference

Title: The application of propensity score estimates in hierarchical linear models for causal inference
Identifier: d_2009_2013:7bb00ac58068:10578
identifier: 10827
Creator: Eckardt, Patricia A.,
Contributor: David M. Rindskopf
Date: 2010
Language: English
Publisher: City University of New York.
Subject: Educational psychology | Education policy | causal estimates | hierarchical modeling | propensity score estimates | zero tolerance policy
Abstract: This research investigated a causal estimate of the impact of zero tolerance policy adoption on individual students' cognitive outcomes by modeling multilevel propensity score estimates within a potential outcomes framework. This estimate was obtained using a large, nationally representative non-experimental sample. Proponents of zero tolerance policy assert that the mandatory expulsion of students for listed offenses leads to a learning environment that supports cognitive growth for the remaining students. Results indicated that zero tolerance policies do not have the desired positive effect on not-at-risk students' cognitive outcomes.
Type: dissertation
Source: 2009_2013.csv
degree: Ph.D.
Program: Educational Psychology

Media: The application of propensity score estimates in hierarchical linear models for causal inference