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dc.contributor.authorLanovaz, Marc
dc.contributor.authorTurgeon, Stéphanie
dc.subjectError ratefr
dc.subjectMultiple baseline designfr
dc.subjectSingle-case designfr
dc.subjectVisual analysisfr
dc.titleHow many tiers do we need? Type I errors and power in multiple baseline designsfr
dc.contributor.affiliationUniversité de Montréal. Faculté des arts et des sciences. École de psychoéducationfr
dcterms.abstractDesign quality guidelines typically recommend that multiple baseline designs include at least three demonstrations of effects. Despite its widespread adoption, this recommendation does not appear grounded in empirical evidence. The main purpose of our study was to address this issue by assessing Type I error rate and power in multiple baseline designs. First, we generated 10,000 multiple baseline graphs, applied the dualcriteria method to each tier, and computed Type I error rate and power for different number of tiers showing a clear change. Second, two raters categorized the tiers for 300 multiple baseline graphs to replicate our analyses using visual inspection. When multiple baseline designs had at least three tiers and two or more of these tiers showed a clear change, the Type I error rate remained adequate (< .05) while power also reached acceptable levels (> .80). In contrast, requiring all tiers to show a clear change resulted in overly stringent conclusions (i.e., unacceptably low power). Therefore, our results suggest that researchers and practitioners should carefully consider limitations in power when requiring all tiers of a multiple baseline design to show a clear change in their
UdeM.ReferenceFournieParDeposantLanovaz, M. J. & Turgeon, S. (2020). How many tiers do we need? Type I errors and power in multiple baseline designs. Perspectives on Behavior Science.
UdeM.VersionRioxxVersion publiée / Version of Recordfr
oaire.citationTitlePerspectives on behavior sciencefr

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