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dc.contributor.advisorNeidert, Pamela L.
dc.contributor.authorHafen, Megan
dc.date.accessioned2014-02-05T17:04:48Z
dc.date.available2014-02-05T17:04:48Z
dc.date.issued2013-12-31
dc.date.submitted2013
dc.identifier.otherhttp://dissertations.umi.com/ku:13038
dc.identifier.urihttp://hdl.handle.net/1808/13003
dc.description.abstractExperimental analyses are designed to identify the variables maintaining responding, the results of which can be used to develop a treatment that directly addresses the function of the behavior. Experimental analyses of acquisition are a means to quickly compare treatment alternatives to identify the conditions that are likely to result in child learning. Assessment conditions are typically designed to identify skill versus performance deficits, and a number of variations in experimental arrangement have been reported. The purposes of the current study were to (a) replicate the results of previous research, specifically those obtained by Lerman et al. (2004), with a younger population with no known diagnoses and (b) compare three experimental designs in terms of efficiency and validity. The methodology designed by Lerman et al. was sufficient to identify an effective intervention for 20 of the 23 tasks that were assessed in Study 1. Results of Study 2 indicated that the brief multielement design was most efficient while the standard reversal was most efficacious. Given these findings, potential modifications to the assessment arrangement to enhance efficiency, while maintaining a high degree of predictive validity, are discussed.
dc.format.extent94 pages
dc.language.isoen
dc.publisherUniversity of Kansas
dc.rightsThis item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
dc.subjectBehavioral sciences
dc.subjectFunctional analysis
dc.subjectPerformance deficit
dc.subjectSkill assessment
dc.subjectSkill deficit
dc.titleThe role of assessment in identifying effective teaching interventions
dc.typeDissertation
dc.contributor.cmtememberDiGennaro Reed, Florence
dc.contributor.cmtememberDozier, Claudia L.
dc.contributor.cmtememberKamps, Deb
dc.contributor.cmtememberThompson, Barbara J.
dc.thesis.degreeDisciplineApplied Behavioral Science
dc.thesis.degreeLevelPh.D.
kusw.oastatusna
kusw.oapolicyThis item does not meet KU Open Access policy criteria.
kusw.bibid8086428
dc.rights.accessrightsopenAccess


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