Changing criterion designs: Integrating methodological and data analysis recommendations

dc.contributor.authorManolov, Rumen
dc.contributor.authorSolanas Pérez, Antonio
dc.contributor.authorSierra, Vicenta
dc.date.accessioned2020-03-25T13:42:22Z
dc.date.issued2020
dc.date.updated2020-03-25T13:42:23Z
dc.description.abstractChanging criterion designs (CCD) are single-case experimental designs that entail a step-by-step approximation to the final level desired for a target behavior. Following a recent review on the desirable methodological features of CCDs, the current text focuses on an analytical challenge: the definition of an objective rule for assessing the correspondence between criterion levels and behavior. We review extensively applied research and methodological recommendations for establishing experimental control, such as the range-bound CCD, and integrate them in a proposal for a formal expression of an objective rule. We illustrate how this proposal can lead to establishing the acceptable level of behavior prior to gathering the intervention phase data and how it leaves space for professional judgement. A discussion of software implementing the suggested proposal is included.
dc.format.extent16 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec683087
dc.identifier.issn0022-0973
dc.identifier.urihttps://hdl.handle.net/2445/153920
dc.language.isoeng
dc.publisherTaylor and Francis
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.1080/00220973.2018.1553838
dc.relation.ispartofJournal of Experimental Education, 2020, vol. 88, num. 2, p. 335-350
dc.relation.urihttps://doi.org/10.1080/00220973.2018.1553838
dc.rights(c) Taylor and Francis, 2020
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.sourceArticles publicats en revistes (Psicologia Social i Psicologia Quantitativa)
dc.subject.classificationInvestigació de cas únic
dc.subject.classificationDisseny d'experiments
dc.subject.otherSingle subject research
dc.subject.otherExperimental design
dc.titleChanging criterion designs: Integrating methodological and data analysis recommendations
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion

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