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Cited by 2,608

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

The longitudinal course of marital quality and stability: A review of theory, method, and research.

Karney, Benjamin R., Bradbury, Thomas N.·1995·Psychological Bulletin
DOI 10.1037/0033-2909.118.1.3
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Abstract

Although much has been learned from cross-sectional research on marriage, an understanding of how marriages develop, succeed, and fail is best achieved with longitudinal data. In view of growing interest in longitudinal research on marriage, the authors reviewed and evaluated the literature on how the quality and stability of marriages change over time. First, prevailing theoretical perspectives are examined for their ability to explain change in marital quality and stability. Second, the methods and findings of 115 longitudinal studies--representing over 45,000 marriages--are summarized and evaluated, yielding specific suggestions for improving this research, Finally, a model is outlined that integrates the strengths of previous theories of marriage, accounts for established findings, and indicates new directions for research on how marriages change.

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Metadata

Authors
Karney, B. R., & Bradbury, T. N.
Venue
Psychological Bulletin
Publisher
American Psychological Association (APA)
Published
1995-07
Volume
118
Issue
1
Pages
3-34
ISSN
  • 0033-2909 (ISSN-L)
  • 1939-1455
DOI
10.1037/0033-2909.118.1.3
OpenAlex
W2022961064
Cited by
2,608
References
11
FWCI
37.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The longitudinal course of marital quality and stability: A review of theory, method, and research. https://app.cochat.ai/papers/10.1037/0033-2909.118.1.3
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Karney, B. R., & Bradbury, T. N. (1995). The longitudinal course of marital quality and stability: A review of theory, method, and research. Psychological Bulletin. https://doi.org/10.1037/0033-2909.118.1.3

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.