Title
Estimating And Using Propensity Score Analysis With Complex Samples
Keywords
Complex samples; Observational studies; Propensity analysis; Propensity matching; Propensity score
Abstract
Propensity score analysis is one statistical technique that can be applied to observational data to mimic randomization and thus can be used to estimate causal effects in studies in which the researchers have not applied randomization. In this article the authors (a) describe propensity score methodology and (b) demonstrate its application using elementary student data from the Early Childhood Longitudinal Study-Kindergarten Class of 1998-99 (ECLS-K). The authors also discuss methodological considerations that need to be addressed when using data from complex samples as in this analysis. Furthermore, the authors provide a tutorial that can be used by researchers to understand the methodology behind and to emulate the steps of conducting propensity score analysis. Copyright © 2006 Heldref Publications.
Publication Date
9-1-2006
Publication Title
Journal of Experimental Education
Volume
75
Issue
1
Number of Pages
31-65
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.3200/JEXE.75.1.31-65
Copyright Status
Unknown
Socpus ID
33751044382 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/33751044382
STARS Citation
Hahs-Vaughn, Debbie L. and Onwuegbuzie, Anthony J., "Estimating And Using Propensity Score Analysis With Complex Samples" (2006). Scopus Export 2000s. 7966.
https://stars.library.ucf.edu/scopus2000/7966