Comparison of randomization-test procedures for single-case multiple-baseline designs.

In three simulation investigations, we examined the statistical properties of several different randomization-test procedures for analyzing the data from single-case multiple-baseline intervention studies. Two procedures (Wampold-Worsham and Revusky) are associated with single fixed intervention sta...

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Publicado en:Developmental Neurorehabilitation Vol. 21; no. 5; pp. 290 - 312
Autores principales: Levin, Joel R., Ferron, John M., Gafurov, Boris S.
Formato: computer program equations & formulas research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Jul2018
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Taylor & Francis Ltd
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        10.1080/17518423.2016.1197708
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        atl: Comparison of randomization-test procedures for single-case multiple-baseline designs.
      aug:
        au:
          Levin, Joel R.
          Ferron, John M.
          Gafurov, Boris S.
        affil: Department of Educational Psychology, University of Arizona, Tucson, AZ, USA
      sug:
        subj:
          Data Analysis, Statistical Methods
          Random Assignment
          Human
          Probability
          Bias (Research)
      ab: In three simulation investigations, we examined the statistical properties of several different randomization-test procedures for analyzing the data from single-case multiple-baseline intervention studies. Two procedures (Wampold-Worsham and Revusky) are associated with single fixed intervention start points and three are associated with randomly determined intervention start points. Of the latter three, one (Koehler-Levin) is an existing procedure that has been previously examined and the other two (modified Revusky and restricted Marascuilo-Busk) are modifications and extensions of existing procedures. All five procedures were found to maintain their Type I error probabilities at acceptable levels. In most of the conditions investigated here, two of the random start-point procedures (Koehler-Levin and restricted Marascuilo-Busk) were more powerful than the others with respect to detecting immediate abrupt intervention effects. For designs in which it is not possible to include the same series lengths for all cases, either the modified Revusky or restricted Marascuilo-Busk procedure is recommended.
      pubtype: Academic Journal
      doctype:
        computer program
        equations & formulas
        research
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        Journal Article
      ougenre: Article
    language: English
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