The Design of Clustered Observational Studies in Education

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dc.contributor.authorPage, Lindsay C.en
dc.contributor.authorLenard, Matthew A.en
dc.contributor.authorKeele, Lukeen
dc.date.accessed2020-10-08en
dc.date.accessioned2021-10-11T18:00:46Zen
dc.date.available2021-10-11T18:00:46Zen
dc.date.issued2020-09-09en
dc.description.abstractClustered observational studies (COSs) are a critical analytic tool for educational effectiveness research. We present a design framework for the development and critique of COSs. The framework is built on the counterfactual model for causal inference and promotes the concept of designing COSs that emulate the targeted randomized trial that would have been conducted were it feasible. We emphasize the key role of understanding the assignment mechanism to study design. We review methods for statistical adjustment and highlight a recently developed form of matching designed specifically for COSs. We review how regression models can be profitably combined with matching and note best practices for estimates of statistical uncertainty. Finally, we review how sensitivity analyses can determine whether conclusions are sensitive to bias from potential unobserved confounders. We demonstrate concepts with an evaluation of a summer school reading intervention in a large U.S. school district.en
dc.description.sponsorshipAmerican Educational Research Associationen
dc.format.mimetypeapplication/pdfen
dc.identifier.issueNo. 3en
dc.identifier.sourceurlhttps://journals.sagepub.com/doi/pdf/10.1177/2332858420954401en
dc.identifier.urihttp://hdl.handle.net/10919/105238en
dc.identifier.volumeVol. 6en
dc.language.isoenen
dc.publisherSAGEen
dc.rightsCreative Commons Attribution-NonCommercial 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en
dc.subjectcausal inferenceen
dc.subjecthierarchical multilevel dataen
dc.subjectobservational studyen
dc.subjectoptimal matchingen
dc.titleThe Design of Clustered Observational Studies in Educationen
dc.typeArticleen
dc.type.dcmitypeTexten

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