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An Analysis of U-Value as a Measure of Variability

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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.

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Correspondence to Xiuyan Kong.

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The analysis reported in the submitted manuscript forms part of the first author’s PhD thesis; no funding was received.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Kong, X., McEwan, J.S., Bizo, L.A. et al. An Analysis of U-Value as a Measure of Variability. Psychol Rec 67, 581–586 (2017). https://doi.org/10.1007/s40732-017-0219-2

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  • DOI: https://doi.org/10.1007/s40732-017-0219-2

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