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Examining the between‐ and within‐person effects of relative deprivation: Results from a 7‐year longitudinal panel sample.

  • Published In: European Journal of Social Psychology, 2023, v. 53, n. 3. P. 435 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Lilly, Kieren J.; Sibley, Chris G.; Osborne, Danny 3 of 3

Abstract

Despite the extensive literature on relative deprivation theory, few studies have examined the longitudinal effects of individual‐ and group‐based relative deprivation (IRD and GRD, respectively) on individual‐ and group‐based outcomes, nor has research investigated the between‐person and within‐person effects of these constructs. Using two random intercept cross‐lagged panel models, we address these oversights by estimating the between‐person and average annual within‐person associations IRD and GRD have with psychological distress and collective action support in a nation‐wide longitudinal panel sample (N = 64,607). As expected, IRD and GRD were more strongly associated with psychological distress and collective action support, respectively, at the between‐person level and contemporaneously at the within‐person level. However, contrary to expectations, temporary departures in IRD and GRD predicted within‐person increases in collective action support and psychological distress, respectively. These results raise questions about how and when people respond to inequality and provide the foundations for future longitudinal research. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:European Journal of Social Psychology. 2023/04, Vol. 53, Issue 3, p435
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2023
  • ISSN:0046-2772
  • DOI:10.1002/ejsp.2913
  • Accession Number:163092825
  • Copyright Statement:Copyright of European Journal of Social Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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