JSM 2012 Home

JSM 2012 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Online Program Home

Abstract Details

Activity Number: 423
Type: Contributed
Date/Time: Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
Sponsor: Social Statistics Section
Abstract - #304666
Title: Propensity Score Analysis with Nested Data: Comparing Single and Multilevel Model Estimates
Author(s): Patricia Rodriguez De Gil and Rheta E. Lanehart*+ and Aarti P. Bellara and Jeffrey Kromrey and Eun Sook Kim and Kathryn M. Borman and Reginald S. Lee
Companies: University of South Florida and University of South Florida and University of South Florida and University of South Florida and University of South Florida and University of South Florida and University of South Florida
Address: 4202 E. Fowler Ave. SOC 107, Tampa, FL, 33620,
Keywords: Propensity scores ; hierarchical linear modeling ; observational studies

Propensity score (PS) methods provide viable strategies for reducing selection bias in nonexperimental(observational) studies. Most research on PS methods model the treatment assignment so that the estimated probability of receiving treatment allows for the identification of comparable individuals based on their individual characteristics. However, in nested data structures selection bias might result not only from differences in the characteristics of the individuals but also from differences in group membership. This study investigated differences in PS results from single-level and multi-level models. Data from an NSF funded project included school transcripts, demographics, enrollment, and achievement data. The impact of special educational programs on advanced mathematics course enrollment was investigated. Data were analyzed by comparing PS distributions, estimating the correla

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2012 program

2012 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.