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Cited by 334

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Predictors of Divorce Adjustment: Stressors, Resources, and Definitions

Wang, Hongyu, Amato, Paul R.·2000·Journal of Marriage and Family

Abstract

We used data from 208 individuals who divorced during a 17‐year longitudinal study to examine factors that predict adjustment to marital disruption. Using stress and coping theory as a guide, we hypothesized that adjustment would be associated with variables reflecting stressors, resources, and people's definitions of the divorce. Contrary to expectations, we found little evidence that stressors (large declines in per capita income, losing friends, or moving) affected divorce adjustment, except among individuals who were not employed. Adjustment was positively associated with income, dating someone steadily, remarriage, having favorable attitudes toward marital dissolution prior to divorce, and being the partner who initiated the divorce. In addition, older individuals showed some evidence of poorer adjustment than did younger individuals.

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Metadata

Authors
Wang, H., & Amato, P. R.
Venue
Journal of Marriage and Family
Publisher
Wiley
Published
2000-08
Volume
62
Issue
3
Pages
655-668
ISSN
  • 0022-2445 (ISSN-L)
  • 1741-3737
OpenAlex
W2106275589
Cited by
334
References
45
FWCI
11.12
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Predictors of Divorce Adjustment: Stressors, Resources, and Definitions. https://app.cochat.ai/papers/10.1111/j.1741-3737.2000.00655.x
The paper
Wang, H., & Amato, P. R. (2000). Predictors of Divorce Adjustment: Stressors, Resources, and Definitions. Journal of Marriage and Family. https://doi.org/10.1111/j.1741-3737.2000.00655.x

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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.