Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/51932
Title: An Analysis of U-Value as a Measure of Variability
Contributor(s): Kong, Xiuyan (author); McEwan, James S (author); Bizo, Lewis A  (author); Foster, T Mary (author)
Publication Date: 2017-12
Early Online Version: 2017-01-26
DOI: 10.1007/s40732-017-0219-2
Handle Link: https://hdl.handle.net/1959.11/51932
Abstract: 

The variability in behavior has frequently been assessed using a measure known as the U-value. Of concern in this article were the limits and constraints on U-value as a measure of variability. The relation between the U-value and aspects of variability was examined using three sets of simulated data. Our analysis demonstrates that the U-value as a measure of variability on its own fails to capture repetitive patterns in the sequence of responding. The U-value was shown to reflect the evenness of the distributions of responses across the categories/options used; however, when the number of categories actually used by the participant differed from the total number available, the relation between U-values and the number of categories allocated with responses was shown to be nonlinear. It was also shown that the same value of U can represent different levels of evenness in response distributions over categories, depending on the number of categories/options actually used. These constraints and limitations are discussed in relation to how researchers might report on behavioral variability.

Publication Type: Journal Article
Source of Publication: The Psychological Record, 67(4), p. 581-586
Publisher: Springer
Place of Publication: Germany
ISSN: 2163-3452
0033-2933
Fields of Research (FoR) 2020: 520105 Psychological methodology, design and analysis
Socio-Economic Objective (SEO) 2020: 200101 Diagnosis of human diseases and conditions
200409 Mental health
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Psychology

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