This paper examines the relative influence of family stressors and the family’s socioeconomic circumstances on children’s happiness. Data from the 9 year old cohort of the national Growing Up in Ireland study (GUI) was used to examine these relationships. The sample consisted of 8,568 children and their families. The stressors considered were a conflictual parent–child relationship; children with emotional and social problems; parental depression; low parental self-efficacy and child isolation. A group of families and children who were experiencing a higher level of these stressors was identified. This constituted 16 % of the sample. Although socioeconomic disadvantage contributed significantly to the vulnerability of this group, it was by no means the sole or dominant issue. Using the Piers-Harris Happiness and Satisfaction Subscale, children’s self-assessed happiness in this identified group was found to be significantly lower than in the other groups, irrespective of socioeconomic and demographic variables. The family stressors were found to explain more than twice the variance in the children’s happiness than explained by the measures of socioeconomic status. Nonetheless, most of the variance remains unexplained. Future research directions to explore this are indicated.

In order to obtain a closer look into the relationships between an at-risk populations’ family stressors and future school problem behaviors, a Latent Class Analysis (LCA) of family stressor variables was performed on at-risk elementary school girls from Health Zone 1. Participants were 308 girls with a mean age of 8.79 years. The dataset was inherited from the Delores Barr Weaver Policy Center and analyses were run to uncover latent classes of family stressors. Class membership was then utilized to predict future behavioral referrals and suspensions from school. A total of three classes emerged from the LCA: “Exposure to Trauma”; “Familial Stress”; and “Stable Home.” Chi-square analysis between class membership and future behavioral referrals and suspensions failed to reach significance. However, chi-square analyses between class membership and some future family stressors were significant. It appears that latent classes of stressors can be uncovered, and these classes can be utilized in the meaningful prediction of outcome variables. Implications for researchers and policy makers are discussed.