Title

Estimating and using propensity score analysis with complex samples

Authors

Authors

D. L. Hahs-Vaughn;A. J. Onwuegbuzie

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

J. Exp. Educ.

Keywords

complex samples; observational studies; propensity analysis; propensity; matching; propensity score; MYOCARDIAL-INFARCTION; PRIVATE SCHOOLS; DOSE-RESPONSE; BIAS; SUBCLASSIFICATION; CHOICE; CAUSAL; STATES; Education & Educational Research; Psychology, Educational

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.

Journal Title

Journal of Experimental Education

Volume

75

Issue/Number

1

Publication Date

1-1-2006

Document Type

Article

Language

English

First Page

31

Last Page

65

WOS Identifier

WOS:000240636800002

ISSN

0022-0973

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