Using Bayesian Nonparametric Hidden Semi-Markov Models to Disentangle Affect Processes during Marital Interaction.

Sequential affect dynamics generated during the interaction of intimate dyads, such as married couples, are associated with a cascade of effects-some good and some bad-on each partner, close family members, and other social contacts. Although the effects are well documented, the probabilistic structures associated with micro-social processes connected to the varied outcomes remain enigmatic. Using extant data we developed a method of classifying and subsequently generating couple dynamics using a Hierarchical Dirichlet Process Hidden semi-Markov Model (HDP-HSMM). Our findings indicate that several key aspects of existing models of marital interaction are inadequate: affect state emissions and their durations, along with the expected variability differences between distressed and nondistressed couples are present but highly nuanced; and most surprisingly, heterogeneity among highly satisfied couples necessitate that they be divided into subgroups. We review how this unsupervised learning technique generates plausible dyadic sequences that are sensitive to relationship quality and provide a natural mechanism for computational models of behavioral and affective micro-social processes.

Effects of the Dads for Life intervention on interparental conflict and coparenting in the two years after divorce.

The ability of parents to forge harmonious coparenting relationships following divorce is an important predictor of their children's long-term well-being. However, there is no convincing evidence that this relationship can be modified through intervention. A preventive intervention that we developed, Dads for Life (DFL), which targeted noncustodial parents as participants, has previously been shown in a randomized field trial to favorably impact child well-being. We explore here whether it also has an impact on mothers' and fathers' perceptions of coparenting and interparental conflict in the 2 years following divorce. Results of the latent growth curve models we evaluated showed that both mothers and fathers reported less conflict when the father participated in DFL as compared with controls. For the fathers, perceptions of coparenting did not change over time in either the DFL or control conditions. Alternatively, mothers' perceptions of support declined over time in the control group, whereas those whose ex-husbands participated in the DFL program reported significant positive growth change toward healthier coparenting. The positive findings for mothers' reports are particularly compelling because mothers were not the participants, and thus common alternative explanations are ruled out. The DFL intervention, then, offers courts a promising program to improve families' functioning after divorce.

The family bereavement program: efficacy evaluation of a theory-based prevention program for parentally bereaved children and adolescents.

This article presents an experimental evaluation of the Family Bereavement Program (FBP), a 2-component group intervention for parentally bereaved children ages 8-16. The program involved separate groups for caregivers, adolescents, and children, which were designed to change potentially modifiable risk and protective factors for bereaved children. The evaluation involved random assignment of 156 families (244 children and adolescents) to the FBP or a self-study condition. Families participated in assessments at pretest, posttest, and 11-month follow-up. Results indicated that the FBP led to improved parenting, coping, and caregiver mental health and to reductions in stressful events at posttest. At follow-up, the FBP led to reduced internalizing and externalizing problems, but only for girls and those who had higher problem scores at baseline.