A Comparison of Propensity Score Weighting Methods for Evaluating the Effects of Programs With Multiple Versions

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dc.authoridAYDIN, Burak/0000-0003-4462-1784
dc.authoridGUREL, SUNGUR/0000-0003-3425-858X
dc.authoridLeite, Walter/0000-0001-7655-5668
dc.contributor.authorLeite, Walter L.
dc.contributor.authorAydin, Burak
dc.contributor.authorGurel, Sungur
dc.date.accessioned2024-12-24T19:28:01Z
dc.date.available2024-12-24T19:28:01Z
dc.date.issued2019
dc.departmentSiirt Üniversitesi
dc.description.abstractThis Monte Carlo simulation study compares methods to estimate the effects of programs with multiple versions when assignment of individuals to program version is not random. These methods use generalized propensity scores, which are predicted probabilities of receiving a particular level of the treatment conditional on covariates, to remove selection bias. The results indicate that inverse probability of treatment weighting (IPTW) removes the most bias, followed by optimal full matching (OFM), and marginal mean weighting through stratification (MMWTS). The study also compared standard error estimation with Taylor series linearization, bootstrapping and the jackknife across propensity score methods. With IPTW, these standard error estimation methods performed adequately, but standard errors estimates were biased in most conditions with OFM and MMWTS.
dc.identifier.doi10.1080/00220973.2017.1409179
dc.identifier.endpage88
dc.identifier.issn0022-0973
dc.identifier.issn1940-0683
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85041011298
dc.identifier.scopusqualityQ1
dc.identifier.startpage75
dc.identifier.urihttps://doi.org/10.1080/00220973.2017.1409179
dc.identifier.urihttps://hdl.handle.net/20.500.12604/6891
dc.identifier.volume87
dc.identifier.wosWOS:000466853500005
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherRoutledge Journals, Taylor & Francis Ltd
dc.relation.ispartofJournal of Experimental Education
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectInverse probability of treatment weighting
dc.subjectmarginal mean weighting through stratification
dc.subjectmultiple treatments
dc.subjectoptimal full propensity score matching
dc.subjectpropensity score analysis
dc.subjectquasi-experimental designs
dc.subjectselection bias
dc.titleA Comparison of Propensity Score Weighting Methods for Evaluating the Effects of Programs With Multiple Versions
dc.typeArticle

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