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

    Share

    COinS