Effect Sizes for Single Case Experimental Designs and Their Utility for a Meta-Analysis: A Simulation Study

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dc.contributor.advisorFlora, David B.
dc.creatorLee, Joo Ann
dc.date.accessioned2016-09-20T16:31:46Z
dc.date.available2016-09-20T16:31:46Z
dc.date.copyright2015-09-23
dc.date.issued2016-09-20
dc.date.updated2016-09-20T16:31:46Z
dc.degree.disciplinePsychology (Functional Area: Quantitative Methods)
dc.degree.levelMaster's
dc.degree.nameMA - Master of Arts
dc.description.abstractThere has been a lack of consensus as to the optimal effect size for use in meta-analyses involving Single Case Experimental Designs (SCEDs). SCEDs are a set of experimental designs which produce data akin to short interrupted time-series, where observations may not be independent due to autocorrelation. This thesis evaluated the statistical properties of various effect sizes for a reversal ABA'B' SCED via a simulation study. Hedges, Pustejovsky, and Shadishs (2012) Standardized Mean Difference effect size (_HPS) performed best when small to moderate degrees of autocorrelation were present. Partial regression coefficients also performed relatively well in most situations. The results recommend the utilization of _HPS: besides its favorable performance, _HPS has also been designed to be comparable to group-based effect sizes (Cohens d) thus enabling the amalgamation of both SCEDs and group designs in a meta-analysis. Partial regression coefficients may also be used effectively in a meta-analysis of results from SCEDs.
dc.identifier.urihttp://hdl.handle.net/10315/32135
dc.language.isoen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectPsychology
dc.subject.keywordsn-of-1 trials
dc.subject.keywordsSmall-n designs
dc.subject.keywordsSingle-subject designs
dc.subject.keywordsIntra-subject designs
dc.subject.keywordsSingle-case designs
dc.subject.keywordsSingle-system design
dc.subject.keywordsInterrupted time-series experimental designs
dc.subject.keywordsEffect size
dc.titleEffect Sizes for Single Case Experimental Designs and Their Utility for a Meta-Analysis: A Simulation Study
dc.typeElectronic Thesis or Dissertation

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