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The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The Timing of Divorce: Predicting When a Couple Will Divorce Over a 14‐Year Period

Gottman, John Mordechai, Levenson, Robert Wayne·2000·Journal of Marriage and Family

Abstract

This paper investigates the predictability of divorce in a long‐term, prospective longitudinal study. Past research has indicated that 2 periods can be considered the most critical for the survival of marriages: (a) the first 7 years of marriage, during which half of all divorces are known to occur, and (b) the period during which the first child reaches 14 years of age, which has been suggested as a low point for marital satisfaction in the life course. In the present study, interaction variables at Time 1 (both during conflict and in an events‐of‐the‐day discussion following separation of the spouses for at least 8 hours) and noninteractive variables were used to predict divorcing both early and later in the marriage. A different set of variables predicted early divorcing than predicted later divorcing. Negative affect during conflict predicted early divorcing, but it did not predict later divorcing. By contrast, the lack of positive affect in events‐of‐the‐day and conflict discussions predicted later divorcing, but it did not predict early divorcing. Prediction was possible over the 14‐year period of the study with a model that included marital satisfaction, thoughts of marital dissolution, and affective interaction in both conversations. The model predicted divorce with 93% accuracy.

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Crossref · 10.1111/j.1741-3737.2000.00737.x

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Metadata

Authors
Gottman, J. M., & Levenson, R. W.
Venue
Journal of Marriage and Family
Publisher
Wiley
Published
2000-08
Volume
62
Issue
3
Pages
737-745
ISSN
  • 0022-2445 (ISSN-L)
  • 1741-3737
OpenAlex
W2001286441
Cited by
571
References
2
FWCI
7.93
Type
journal article
Language
en
Open access
closed

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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).

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