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Cited by 361

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Identity Style and Coping Strategies

Berzonsky, Michael D.·1992·Journal of Personality

Abstract

ABSTRACT This Study examined the relationship between identity style and strategies used to cope with stressors that potentially threaten one's sense of identity. Identity style refers to differences in the way individuals construct and revise or maintain their sense of identity. An informational style involves actively seeking out, evaluating, and utilizing self‐relevant information. A normative style highlights the expectations and standards of significant others. A diffuse/avoidant style is characterized by procrastination and situation‐specific reactions. Late‐adolescent college subjects were administered measures of identity style, ways of coping with academic stressors, and test anxiety. Within this self‐as‐student context, subjects with diffuse and normative identity styles employed avoidant‐oriented coping strategies (wishful thinking, distancing, and tension reduction). An informational style was associated with deliberate, problem‐focused coping. Findings are discussed in terms of a process model of identity development.

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Metadata

Authors
Berzonsky, M. D.
Venue
Journal of Personality
Publisher
Wiley
Published
1992-12
Volume
60
Issue
4
Pages
771-788
ISSN
  • 0022-3506 (ISSN-L)
  • 1467-6494
OpenAlex
W1985334871
Cited by
361
References
4
FWCI
3.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Identity Style and Coping Strategies. https://app.cochat.ai/papers/10.1111/j.1467-6494.1992.tb00273.x
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Berzonsky, M. D. (1992). Identity Style and Coping Strategies. Journal of Personality. https://doi.org/10.1111/j.1467-6494.1992.tb00273.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.