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Using a visual structured criterion for the analysis of alternating-treatment designs

dc.contributor.authorLanovaz, Marc
dc.contributor.authorCardinal, Patrick
dc.contributor.authorFrancis, Mary
dc.subjectAlternating-treatment designfr
dc.subjectMonte Carlo simulationfr
dc.subjectMultielement designfr
dc.subjectType I errorfr
dc.subjectVisual analysisfr
dc.titleUsing a visual structured criterion for the analysis of alternating-treatment designsfr
dc.contributor.affiliationUniversité de Montréal. Faculté des arts et des sciences. École de psychoéducationfr
dcterms.abstractAlthough visual inspection remains common in the analysis of single-case designs, the lack of agreement between raters is an issue that may seriously compromise its validity. Thus, the purpose of our study was to develop and examine the properties of a simple structured criterion to supplement the visual analysis of alternating-treatment designs. To this end, we generated simulated datasets with varying number of points, number of conditions, effect sizes and autocorrelations, and then measured Type I error rates and power produced by the visual structured criterion (VSC) and permutation analyses. We also validated the results for Type I error rates using nonsimulated data. Overall, our results indicate that using the VSC as a supplement for the analysis of systematically alternating-treatment designs with at least five points per condition generally provides adequate control over Type I error rates and sufficient power to detect most behavior
dcterms.alternativeVisual structured criterionfr
dcterms.bibliographicCitationBehavior modification ; vol. 43, no 1, p. 115-131fr
UdeM.ReferenceFournieParDeposantLanovaz, M. J., Cardinal, P., & Francis, M. (2019). Using a visual structured criterion for the analysis of alternating-treatment designs. Behavior Modification, 43, 115-131. doi: 10.1177/0145445517739278fr
UdeM.VersionRioxxVersion acceptée / Accepted Manuscriptfr

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