Predicting marital dissolution: A 5-year prospective longitudinal study of newlywed couples.
Abstract
This study examined how well marital dissolution was predicted by husbands' and wives' personal demographic scores, couple demographic scores, husbands' and wives' individual-differences scores, husbands' and wives' interdependence scores, and the size of the discrepancy between spouses' individual-differences scores as well as their interdependence scores. Over 5 annual assessments, 222 newlywed couples remained together and 64 dissolved their marriages. Variables from each of the 4 sets of scores reliably discriminated between stable and unstable couples
Cited by (9)
- The Power of Personality: The Comparative Validity of Personality Traits, Socioeconomic Status, and Cognitive Ability for Predicting Important Life OutcomesRoberts, Brent W., Kuncel, Nathan R., Shiner, Rebecca, Caspi, Avshalom, Goldberg, Lewis R. · 2007 · Perspectives on Psychological Science
- The grit effect: Predicting retention in the military, the workplace, school and marriageEskreis-Winkler, Lauren, Shulman, Elizabeth P., Beal, Scott A., Duckworth, Angela L. · 2014 · Frontiers in Psychology
- DEVELOPMENT OF A LEADER-MEMBER EXCHANGE: A LONGITUDINAL TEST.BAUER, T. N., GREEN, S. G. · 1996 · Academy of Management Journal
- Personality-relationship transaction in young adulthood.Neyer, Franz J., Asendorpf, Jens B. · 2001 · Journal of Personality and Social Psychology
- Long-Term Effects of Social Investment: The Case of Partnering in Young AdulthoodLehnart, Judith, Neyer, Franz J., Eccles, Jacquelynne · 2010 · Journal of Personality
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Predicting marital dissolution: A 5-year prospective longitudinal study of newlywed couples. https://app.cochat.ai/papers/10.1037//0022-3514.64.2.221
- The paper
- Kurdek, L. A. (1993). Predicting marital dissolution: A 5-year prospective longitudinal study of newlywed couples. Journal of Personality and Social Psychology. https://doi.org/10.1037//0022-3514.64.2.221
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.