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Quality of Life Research
Published in: Quality of Life Research 1/2017

01-01-2017 | Brief Communication

Exploring measurement invariance by gender in the profile of mood states depression subscale among cancer survivors

Authors: Jihye Kim, Tenbroeck Smith

Published in: Quality of Life Research | Issue 1/2017

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Abstract

Purpose

The Profile of Mood States-Short Form (POMS-SF) is a well-validated tool commonly used in medical/clinical research. Less attention has been paid to the measurement invariance of the POMS—the degree to which the structure and items behave similarly for different groups (e.g., women and men). This study investigated the measurement invariance of the POMS Depression subscale across gender groups in a sample of cancer survivors.

Methods

The POMS Depression subscale has 8 items (Unhappy, Sad, Blue, Hopeless, Discouraged, Miserable, Helpless, and Worthless). Invariance was measured using multigroup confirmatory factor analysis. This study used data from American Cancer Society Studies of Cancer Survivors-II, a population-based survey of adult cancer survivors (n = 9170).

Results

We found factor structures and factor loadings were invariant for gender groups, but moderate differential item functioning (DIF) in the question containing the word blue.

Conclusion

With regard to cancer survivors’ gender, we found the Depression subscale of the POMS-SF had configural invariance, and partial metric and scalar invariance. This suggests that results should be interpreted with caution, especially when gender is considered important. More broadly, our finding suggests that questions with the word blue may introduce DIF into other measures of depressive mood. More research is needed to replicate these findings in other samples and with other instruments.
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Metadata
Title
Exploring measurement invariance by gender in the profile of mood states depression subscale among cancer survivors
Authors
Jihye Kim
Tenbroeck Smith
Publication date
01-01-2017
Publisher
Springer International Publishing
Published in
Quality of Life Research / Issue 1/2017
Print ISSN: 0962-9343
Electronic ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-016-1452-x

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