Tutorial: Small-N Power Analysis

Title
Tutorial: Small-N Power Analysis
Publication Date
2019-03-15
Author(s)
Kyonka, Elizabeth G E
( author )
OrcID: https://orcid.org/0000-0001-7974-6080
Email: ekyonka@une.edu.au
UNE Id une-id:ekyonka
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Springer Cham
Place of publication
Switzerland
DOI
10.1007/s40614-018-0167-4
UNE publication id
une:1959.11/54668
Abstract

Power analysis is an overlooked and underreported aspect of study design. A priori power analysis involves estimating the sample size required for a study based on predetermined maximum tolerable Type I and II error rates and the minimum effect size that would be clinically, practically, or theoretically meaningful. Power is more often discussed within the context of large-N group designs, but power analyses can be used in small-N research and within-subjects designs to maximize the probative value of the research. In this tutorial, case studies illustrate how power analysis can be used by behavior analysts to compare two independent groups, behavior in baseline and intervention conditions, and response characteristics across multiple within-subject treatments. After reading this tutorial, the reader will be able to estimate just noticeable differences using means and standard deviations, convert them to standardized effect sizes, and use G*Power to determine the sample size needed to detect an effect with desired power.

Link
Citation
Perspectives on Behavior Science, 42(1), p. 133-152
ISSN
2520-8977
2520-8969
Pubmed ID
31976425
Start page
133
End page
152

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