2020
DOI: 10.1007/s10648-020-09549-7
|View full text |Cite
|
Sign up to set email alerts
|

Investigation of Single-Case Multiple-Baseline Randomization Tests of Trend and Variability

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
25
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 24 publications
(25 citation statements)
references
References 54 publications
0
25
0
Order By: Relevance
“…In situations where a larger sample size is not possible, it might be worth considering alternative means of evaluating and presenting data, such as a single-case multiple-baseline AB design. With this design, the outcome variable is measured on a few “cases” (e.g., subjects) in a baseline phase (the A phase) and in an experimental phase (the B phase) (Bulté and Onghena, 2009 ; Bouwmeester and Jongerling, 2020 ; Levin et al, 2020 ). Then, the effect of the experimental phase is analysed using visual inspection of the pattern of observations in each phase and randomisation tests.…”
Section: Discussionmentioning
confidence: 99%
“…In situations where a larger sample size is not possible, it might be worth considering alternative means of evaluating and presenting data, such as a single-case multiple-baseline AB design. With this design, the outcome variable is measured on a few “cases” (e.g., subjects) in a baseline phase (the A phase) and in an experimental phase (the B phase) (Bulté and Onghena, 2009 ; Bouwmeester and Jongerling, 2020 ; Levin et al, 2020 ). Then, the effect of the experimental phase is analysed using visual inspection of the pattern of observations in each phase and randomisation tests.…”
Section: Discussionmentioning
confidence: 99%
“…For the assessment of between-phase variability changes, Kromrey and Foster-Johnson (1996) recommend using variance ratios. More recently, Levin et al (2020) recommended the median absolute deviation for the assessment of variability changes. The WWC guidelines recommend subtracting the mean of the last three baseline data points from the first three intervention data points to assess immediacy.…”
Section: Effect Size Measuresmentioning
confidence: 99%
“…Although presently beyond the scope of this article, there is also a need to examine the utility of statistical analyses for supplementing visual analyses within RAD studies. The extent to which statistical analyses like randomization tests (Hua et al, 2020;Levin et al, 2020;Onghena & Edgington, 1994) and nonparametric effect-size estimates (e.g., NAP) contribute to the precision and strength of evidence is unknown and prime for further study. In the spirit of creativity and innovation, we look forward to a RAD future.…”
Section: Call To Actionmentioning
confidence: 99%