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Cited by 850

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Refining the measurement of mood: The UWIST Mood Adjective Checklist

Matthews, Gerald, Jones, Dylan M., Chamberlain, A. Graham·1990·British Journal of Psychology

Abstract

Research using a refinement of existing measures of mood, the UWIST Mood Adjective Checklist (UMACL), is reviewed. A factor analysis ( N = 388), using a validated criterion for assessing the number of factors to be extracted, confirmed that the UMACL measures dimensions of energetic arousal, tense arousal and hedonic tone. Psychometric properties of UMACL scales were satisfactory. Discriminant validity was established by showing that correlations between UMACL scales and demographic and personality variables were small in magnitude, though of theoretical importance. Significant correlations between the arousal scales and psychophysiological measures of autonomic arousal demonstrate concurrent validity. A series of studies shows that the UMACL scales are sensitive to external ‘stressors’. Specific influences on each of the three principal scales have been found. Certain stressors appear to evoke a more general stress syndrome associated with reduced energetic arousal and hedonic tone, and increased tense arousal.

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Metadata

Authors
Matthews, G., Jones, D. M., & Chamberlain, A. G.
Venue
British Journal of Psychology
Publisher
Wiley
Published
1990-02
Volume
81
Issue
1
Pages
17-42
ISSN
  • 0007-1269 (ISSN-L)
  • 2044-8295
OpenAlex
W2156395333
Cited by
850
References
0
FWCI
10.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Refining the measurement of mood: The UWIST Mood Adjective Checklist. https://app.cochat.ai/papers/10.1111/j.2044-8295.1990.tb02343.x
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Matthews, G., Jones, D. M., & Chamberlain, A. G. (1990). Refining the measurement of mood: The UWIST Mood Adjective Checklist. British Journal of Psychology. https://doi.org/10.1111/j.2044-8295.1990.tb02343.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.