Using Propensity Score Analysis of Survey Data to Estimate Population Average Treatment Effects: A Case Study Comparing Different Methods.

Evaluation Review
Nianbo DongTrang Quynh Nguyen

Abstract

Many studies in psychological and educational research aim to estimate population average treatment effects (PATE) using data from large complex survey samples, and many of these studies use propensity score methods. Recent advances have investigated how to incorporate survey weights with propensity score methods. However, to this point, that work had not been well summarized, and it was not clear how much difference the different PATE estimation methods would make empirically. The purpose of this study is to systematically summarize the appropriate use of survey weights in propensity score analysis of complex survey data and use a case study to empirically compare the PATE estimates using multiple analysis methods that include ordinary least squares regression, weighted least squares regression, and various propensity score applications. We first summarize various propensity score methods that handle survey weights. We then demonstrate the performance of various analysis methods using a nationally representative data set, the Early Childhood Longitudinal Study-Kindergarten to estimate the effects of preschool on children's academic achievement. The correspondence of the results was evaluated using multiple criteria. It is impo...Continue Reading

References

Apr 22, 2003·Statistics in Medicine·Roderick J Little, Sonya Vartivarian
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Mar 3, 2005·The American Psychologist·Geoff Cumming, Sue Finch
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Jun 30, 2018·Evaluation Review·Vivian C Wong, Peter M Steiner

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Citations

Jun 16, 2021·Multivariate Behavioral Research·Alvaro FuentesAlexander Robitzsch
Jul 13, 2021·BMC Medical Research Methodology·Aya A MitaniJonathan S Schildcrout

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Software Mentioned

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