The hazards of predicting divorce without crossvalidation

Research output: Contribution to journalArticlepeer-review


Divorce prediction studies (e.g., Gottman, Coan, Carrere, & Swanson, 1998) suggest that couples' eventual divorce can be very accurately predicted from a number of different variables. Recent attention to these studies has failed to consider the need to crossvalidate prediction equations and to consider the prevalence of divorce in the population. We analyze archival data to demonstrate that accuracy and predictive value drops precipitously during crossvalidation. We conclude that results of studies without crossvalidation analyses should be interpreted with extreme caution, no matter how impressive the initial results appear to be.

Original languageEnglish (US)
Pages (from-to)473-479
Number of pages7
JournalJournal of Marriage and Family
Issue number2
StatePublished - May 2001


  • Crossvalidation
  • Divorce
  • Overfitting
  • Prediction studies

ASJC Scopus subject areas

  • Anthropology
  • Arts and Humanities (miscellaneous)
  • Social Sciences (miscellaneous)


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