Show simple item record

dc.contributor.authorHo, Andrew Dean
dc.contributor.authorReardon, Sean F.
dc.date.accessioned2012-07-19T17:23:13Z
dc.date.issued2012
dc.identifier.citationHo, Andrew D., and Sean F. Reardon. 2012 . Estimating achievement gaps from test scores reported in ordinal "proficiency" categories. Journal of Educational and Behavioral Statisticsen_US
dc.identifier.issn1076-9986en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:9276707
dc.description.abstractTest scores are commonly reported in a small number of ordered categories. Examples of such reporting include state accountability testing, Advanced Placement tests, and English proficiency tests. This paper introduces and evaluates methods for estimating achievement gaps on a familiar standard-deviation-unit metric using data from these ordered categories alone. These methods hold two practical advantages over alternative achievement gap metrics. First, they require only categorical proficiency data, which are often available where means and standard deviations are not. Second, they result in gap estimates that are invariant to score scale transformations, providing a stronger basis for achievement gap comparisons over time and across jurisdictions. We find three candidate estimation methods that recover full-distribution gap estimates well when only censored data are available.en_US
dc.language.isoen_USen_US
dc.relation.isversionofdoi:10.3102/1076998611411918en_US
dash.licenseLAA
dc.titleEstimating Achievement Gaps from Test Scores Reported in Ordinal "Proficiency" Categoriesen_US
dc.typeJournal Articleen_US
dc.description.versionAccepted Manuscripten_US
dc.relation.journalJournal of Educational and Behavioral Statisticsen_US
dash.depositing.authorHo, Andrew Dean
dash.waiver2011-04-04
dc.date.available2012-07-19T17:23:13Z
dc.identifier.doi10.3102/1076998611411918*
dash.contributor.affiliatedHo, Andrew


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record