The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Predicting nonmarital romantic relationship dissolution: A meta-analytic synthesis
Abstract
A meta-analysis of predictors of nonmarital romantic relationship dissolution was conducted, including data collected from 37,761 participants and 137 studies over 33 years. Individual, relationship, and external variables were investigated, and results suggest that commitment, love, inclusion of other in the self, and dependence were among the strongest predictors of dissolution. Other relational variables such as satisfaction, perceptions of alternatives, and investments were modest predictors of breakup, and the external factor of social network support was also a robust predictor. Personality measures were found to have limited predictive utility, with small effects found for dimensions relational in nature (e.g., adult attachment orientations). Theoretical and methodological implications are discussed within the context of future research on nonmarital relationship dissolution.
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Cites
Statistical Methods for Meta-Analysis
Wasserman, S., Hedges, L. V., & Olkin, I. (1988) · Journal of Educational Statistics · doi:10.2307/1164953 · Cited by 10,326
(2000) · Cited by 9,198
Cohen, J. (1992) · Psychological Bulletin · doi:10.1037//0033-2909.112.1.155 · Cited by 8,771
Attitude-behavior relations: A theoretical analysis and review of empirical research
Ajzen, I., & Fishbein, M. (1977) · Psychological Bulletin · doi:10.1037/0033-2909.84.5.888 · Cited by 7,611 · cited 1×
“This may speak to the necessary correspondence between predictors and criterion variables that more specific factors (e.g., relational affect and cognition) will better predict a behavior in a specific (relational) context than will general individual-level factors (Ajzen & Fishbein, 1977).”
Background(2013) · Handbooks of Sociology and Social Research · doi:10.1007/978-94-007-6772-0 · Cited by 7,486
Measuring Dyadic Adjustment: New Scales for Assessing the Quality of Marriage and Similar Dyads
Spanier, G. B. (1976) · Journal of Marriage and the Family · doi:10.2307/350547 · Cited by 7,050
The Social Psychology of Groups
Kenkel, W. F., Thibaut, J. W., & Kelley, H. H. (1959) · The American Catholic Sociological Review · doi:10.2307/3709294 · Cited by 5,898
Inclusion of Other in the Self Scale and the structure of interpersonal closeness.
Aron, A., Aron, E. N., & Smollan, D. (1992) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.63.4.596 · Cited by 5,157
(2004) · Choice Reviews Online · doi:10.5860/choice.41-3182 · Cited by 4,690
Attachment in adulthood: structure, dynamics, and change
(2008) · Choice Reviews Online · doi:10.5860/choice.45-2903 · Cited by 4,315
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Fitzsimons, G. M., Finkel, E. J., & vanDellen, M. R. (2015) · Psychological Review · doi:10.1037/a0039654 · Cited by 448
Joel, S., Eastwick, P. W., Allison, C. J., Arriaga, X. B., Baker, Z. G., Bar-Kalifa, E., Bergeron, S., Birnbaum, G. E., Brock, R. L., Brumbaugh, C. C., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1917036117 · Cited by 315
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Ghosting and destiny: Implicit theories of relationships predict beliefs about ghosting
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Metadata
- Authors
- LE, B., DOVE, N. L., AGNEW, C. R., KORN, M. S., & MUTSO, A. A.
- Venue
- Personal Relationships
- Publisher
- Wiley
- Published
- 2010-07-27
- Volume
- 17
- Issue
- 3
- Pages
- 377-390
- ISSN
- 1350-4126 (ISSN-L)
- OpenAlex
- W2133531370
- Cited by
- 532
- References
- 59
- FWCI
- 18.09
- Type
- journal article
- Language
- en
- Open access
- closed
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- LE, B., DOVE, N. L., AGNEW, C. R., KORN, M. S., & MUTSO, A. A. (2010). Predicting nonmarital romantic relationship dissolution: A meta-analytic synthesis. Personal Relationships. https://doi.org/10.1111/j.1475-6811.2010.01285.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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