Flora, David B.2016-09-202016-09-202015-09-232016-09-20http://hdl.handle.net/10315/32135There 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.enAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.PsychologyElectronic Thesis or Dissertation2016-09-20n-of-1 trialsSmall-n designsSingle-subject designsIntra-subject designsSingle-case designsSingle-system designInterrupted time-series experimental designsEffect size