Department of Human and Community Development, University of Illinois, 2033 Christopher Hall, 904 W. Nevada St., Urbana, IL 61801.
Using Mixture Regression to Identify Varying Effects: A Demonstration With Paternal Incarceration
Article first published online: 24 SEP 2012
Copyright © National Council on Family Relations, 2012
Journal of Marriage and Family
Volume 74, Issue 5, pages 1129–1148, October 2012
How to Cite
Dyer, W. J., Pleck, J. and McBride, B. (2012), Using Mixture Regression to Identify Varying Effects: A Demonstration With Paternal Incarceration. Journal of Marriage and Family, 74: 1129–1148. doi: 10.1111/j.1741-3737.2012.01012.x
Child Development Laboratory, MC-038, 1105 W. Nevada St., Urbana, IL 61801.
This article was edited by Jay Teachman.
- Issue published online: 24 SEP 2012
- Article first published online: 24 SEP 2012
- mixture regression;
The most widely used techniques for identifying the varying effects of stressors involve testing moderator effects via interaction terms in regression or multiple-group analysis in structural equation modeling. The authors present mixture regression as an alternative approach. In contrast to more widely used approaches, mixture regression identifies varying effects without reliance on tests of moderator variables, such as using interaction terms or multiple group analyses. In many instances, the use of mixture regression also more effectively tests higher order and multiple interactions. A mixture regression example is presented using 214 families from the Fragile Families and Child Wellbeing study, half of whom had experienced paternal incarceration. Whereas typical regression and moderator analyses fail to find an effect or varying effects, mixture regression identified 4 classes uniquely influenced by the incarceration.