Analysis of single-case data: randomisation tests for measures of effect size.

Publisher: Routledge, Taylor & Francis Group Country of Publication: England NLM ID: 9112672 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1464-0694 (Electronic) Linking ISSN: 09602011 NLM ISO Abbreviation: Neuropsychol Rehabil Subsets: MEDLINE

Publication: [London] : Routledge, Taylor & Francis Group
Original Publication: Hove, East Sussex, UK : Lawrence Erlbaum Associates Ltd., c1991-

Research Design/*statistics & numerical data ; Statistics as Topic/*methods; Computer Graphics ; Humans ; Random Allocation

Single-case experiments can be used to evaluate the effect of an intervention or treatment for a single entity. The internal validity and statistical conclusion validity of single-case experiments can be improved by incorporating randomisation in their design. In this article, we explain how to design randomised single-case phase and alternation studies as well as randomised simultaneous and sequential replication studies, and how to conduct randomisation tests for these designs. Advantages and limitations of randomisation tests are discussed. In order to not only determine the (non)randomness of an intervention effect, but also the magnitude of this effect, we propose to use an effect size index as a test statistic for the randomisation test. We illustrate this combination for the design and analysis of an ABAB phase study, using a free software package.

Keywords: Nonparametric statistical significance test; Randomisation test; Single-case experimental design; Single-subject experimental design; Statistical software

Date Created: 20130720 Date Completed: 20150223 Latest Revision: 20140618

20240628

10.1080/09602011.2013.818564

23865938