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Selecting the Proper Tau-U Measure for Single-Case Experimental Designs: Development and Application of a Decision Flowchart
- Source :
-
Grantee Submission . 2021 15(3):99-114. - Publication Year :
- 2021
-
Abstract
- A variety of measures have been developed to quantify intervention effects for single-case experimental design studies. Within the family of non-overlap indices, the Tau-U measure is one of the most popular indices. There are several Tau-U variants, each one calculated differently. The appropriateness of each Tau-U variant depends upon the data characteristics present within the study (e.g. number of measurement occasions, the within-case variability, and baseline trend). However, inconsistent terminology is used to refer to the Tau-U variants, and researchers can overlook the attributes of the different Tau-U variants. As a result, the Tau-U variants can be applied inappropriately, and this can result in invalid conclusions of intervention effectiveness. This paper proposes a Tau-U flowchart that can assist the decision-making process when using Tau-U with single-case experimental designs that incorporate baseline-intervention (AB) comparisons (e.g. multiple-baseline designs, withdrawal/reversal designs, etc.). The flowchart can help researchers select the appropriate Tau-U variant to use based on their data and research questions. The flowchart is applied to two single-case experimental studies to demonstrate its use.
Details
- Language :
- English
- Volume :
- 15
- Issue :
- 3
- Database :
- ERIC
- Journal :
- Grantee Submission
- Publication Type :
- Academic Journal
- Accession number :
- ED627255
- Document Type :
- Journal Articles<br />Reports - Evaluative
- Full Text :
- https://doi.org/10.1080/17489539.2021.1937851