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Updated: Jun 10, 2026

A Naturalistic Setup for Presenting Real People and Live Actions in Experimental Psychology and Cognitive Neuroscience Studies
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Extending the actor-partner interdependence model to include cross-informant data.

Manfred H M van Dulmen1, Elizabeth A Goncy

  • 1Department of Psychology, Kent State University, PO Box 5190, Kent OH 44242, United States. mvandul@kent.edu

Journal of Adolescence
|August 20, 2010
PubMed
Summary

Understanding romantic relationship satisfaction requires both dyadic and cross-informant data. Incorporating these perspectives reveals associations with externalizing behavior problems, avoiding misleading conclusions.

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Area of Science:

  • Psychology
  • Relationship Science
  • Behavioral Science

Background:

  • Previous research often analyzes relationship dynamics using single-source data.
  • The Actor-Partner Interdependence Model (APIM) is a common framework for dyadic analysis.
  • Understanding individual outcomes within romantic relationships necessitates considering multiple perspectives.

Purpose of the Study:

  • To extend the Actor-Partner Interdependence Model (APIM) using a path analysis framework.
  • To investigate the association between romantic relationship satisfaction and externalizing behavior problems.
  • To highlight the importance of incorporating cross-informant data in dyadic analyses.

Main Methods:

  • Utilized dyadic data from 115 young adult heterosexual couples in relationships of at least four months.
  • Employed a path analysis framework extending the APIM.
  • Incorporated cross-informant reports for the outcome variable (externalizing behavior problems).

Main Results:

  • Romantic relationship satisfaction is associated with externalizing behavior problems in both males and females.
  • Both dyadic data and cross-informant reports are crucial for a comprehensive understanding of this association.
  • Excluding dyadic or cross-informant data can lead to misleading conclusions.

Conclusions:

  • Integrating cross-informant data into dyadic analyses offers significant new insights into relationship functioning and individual outcomes.
  • A multi-perspective approach is essential for accurately understanding the interplay between relationship satisfaction and behavioral problems.
  • The extended APIM framework effectively incorporates cross-informant data for richer insights.