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Refining Anger: Summarizing the Self-Report Measurement of Anger

  • John Maltby
  • , Will H J Norton
  • , Eoin McElroy
  • , John Cromby
  • , Martin Halliwell
  • , Sophie S Hall

Research output: Contribution to journalArticlepeer-review

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Abstract

The current paper presents a five-factor measurement model of anger summarizing scores on public-domain self-report measures of anger. Exploratory and confirmatory factor analyses of self-report measures of anger (UK, n = 500; USA, n = 625) suggest five replicable latent anger factors: anger-arousal, anger-rumination, frustration-discomfort, anger-regulation, and socially constituted anger. Findings suggested a 5-factor interpretation provided the best fit of the data. We also report evidence of measurement invariance for this 5-factor model of anger across gender, age, and ethnicity. The findings suggest a useful and parsimonious account of anger, summarizing over 50 years of research around the self-report measurement of anger.

Original languageEnglish
Pages (from-to)752-762
Number of pages11
JournalJournal of Personality Assessment
Volume105
Issue number6
Early online date8 Dec 2022
DOIs
Publication statusPublished online - 8 Dec 2022

Bibliographical note

Publisher Copyright:
© 2022 The Author(s). Published with license by Taylor & Francis Group, LLC.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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