{"id":{"repo_id":"york","oai_identifier":"oai:yorkspace.library.yorku.ca:10315/32135"},"canonical_url":"https://search.dev.ndltd.org/etd/york/oai:yorkspace.library.yorku.ca:10315/32135","repository":{"repo_id":"york","name":"York University","base_url":"https://yorkspace.library.yorku.ca/oai/request"},"display":{"title":"Effect Sizes for Single Case Experimental Designs and Their Utility for a Meta-Analysis: A Simulation Study","abstract":"There 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.","abstract_html":"There 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.","abstract_has_math":false,"creators":["Lee, Joo Ann"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Flora, David B."],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-09-20","date_published":"2016-09-20","updated_at":"2026-07-24T06:33:49Z","subjects":["Psychology"],"languages":["en"],"rights":["Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10315/32135","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Flora, David B."]},{"key":"dc:creator","label":"Author","values":["Lee, Joo Ann"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2016-09-20T16:31:46Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2016-09-20T16:31:46Z"]},{"key":"dc:date.issued","label":"Date","values":["2016-09-20"]},{"key":"dc:type","label":"Dc Type","values":["Electronic Thesis or Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Psychology"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Author owns copyright, except where explicitly noted. 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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."]},{"key":"dc:title","label":"Title","values":["Effect Sizes for Single Case Experimental Designs and Their Utility for a Meta-Analysis: A Simulation Study"]}]}],"canonical_facts":{"dc:contributor.advisor":["Flora, David B."],"dc:creator":["Lee, Joo Ann"],"dc:date.accessioned":["2016-09-20T16:31:46Z"],"dc:date.available":["2016-09-20T16:31:46Z"],"dc:date.issued":["2016-09-20"],"dc:description.abstract":["There 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.uri":["http://hdl.handle.net/10315/32135"],"dc:language.iso":["en"],"dc:rights":["Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests."],"dc:subject":["Psychology"],"dc:title":["Effect Sizes for Single Case Experimental Designs and Their Utility for a Meta-Analysis: A Simulation Study"],"dc:type":["Electronic Thesis or Dissertation"]},"updated_at":"2026-07-24T06:33:49Z"}