Randomization tests for changing criterion designs.

Randomization tests for alternating treatments designs, multiple baseline designs, and withdrawal/reversal designs are well-established. Recent classifications, however, also mention the "changing criterion design" as a fourth important type of single-case experimental design. In this paper, we exam...

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Publicado en:Behaviour Research & Therapy Vol. 117; pp. 18 - 28
Autores principales: Onghena, Patrick, Tanious, René, De, Tamal Kumar, Michiels, Bart
Formato: Artículo
Publicado: Elsevier B.V. Jun2019
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2019
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      pub: Elsevier B.V.
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        10.1016/j.brat.2019.01.005
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        atl: Randomization tests for changing criterion designs.
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        au:
          Onghena, Patrick
          Tanious, René
          De, Tamal Kumar
          Michiels, Bart
        affil: KU Leuven, Faculty of Psychology and Educational Sciences, Belgium
      su:
        Test validity
        Computer software
        Technical specifications
        Experimental design
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          Computer and Computer Peripheral Equipment and Software Merchant Wholesalers
          Computer and software stores
          Computer, computer peripheral and pre-packaged software merchant wholesalers
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          Test validity
          Computer software
          Technical specifications
          Experimental design
      keyword:
        Changing criterion design
        N-of-1 trial
        Randomization test
        Single-case experiment
        Single-case experimental design
        Changing criterion design
        N-of-1 trial
        Randomization test
        Single-case experiment
        Single-case experimental design
      ab: Randomization tests for alternating treatments designs, multiple baseline designs, and withdrawal/reversal designs are well-established. Recent classifications, however, also mention the "changing criterion design" as a fourth important type of single-case experimental design. In this paper, we examine the potential of randomization tests for changing criterion designs. We focus on the rationale of the randomization test, the random assignment procedure, the choice of the test statistic, and the calculation of randomization test p -values. Two examples using empirical data and an R computer program to perform the calculations are provided. We discuss the problems associated with conceptualizing the changing criterion design as a variant of the multiple baseline design, the potential of the range-bound changing criterion design, experimental control as an all-or-none phenomenon, the necessity of random assignment for the statistical-conclusion validity of the randomization test, and the use of randomization tests in nonrandomized designs. • Random assignment is as important in single-case experimental designs as it is in between-groups designs. • Randomization tests are valid statistical tests for randomized changing criterion designs. • Randomization test results from nonrandomized changing criterion designs should be interpreted cautiously. • Mean Absolute Deviation and Proportion Conforming Data are recommended test statistics in changing criterion designs. • R computer programs are provided to make the randomization tests computationally feasible.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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