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
