Parental involvement (PI) in their children's schools has been shown to have a positive influence on the children's behaviours and academic achievement. The purpose of this study was to examine predictors of PI and relations of PI in schools to child externalizing and internalizing behaviours. Data were from the fifth-grade wave of the Early Head…

Objective: This study seeks to evaluate the psychometric properties of the Ottawa Self-Injury Inventory-Functions (OSI-F) for assessing nonsuicidal self-injury (NSSI), a condition for further study in the DSM-5. Participants: Participants included 345 students who indicated a history of self-injury in a university counseling center over six…

Employing a multi-method approach, we investigated observed and parent-rated child behavioral inhibition (BI) and maternal reports of their own negative affectivity (NA) as predictors of young children's internalizing problems. Participants were 201 children who were siblings between 2.5 and 5.5 years of age (mean = 3.86, standard deviation =…

The current study aimed to substantiate and extend our understanding regarding the existence and developmental pathways of 3 distinct temperament profiles--exuberant, inhibited, and average approach--in a sample of 3.5-year-old children (n = 121). The interactions between temperamental styles and specific types of effortful control, inhibitory…

Lower levels of parent-child affective flexibility indicate risk for children's problem outcomes. This short-term longitudinal study examined whether maternal depressive symptoms were related to lower levels of dyadic affective flexibility and positive affective content in mother-child problem-solving interactions at age 3.5?years…

Daily covariation of sleep quantity and quality with affective, stressful, academic, and social experiences were observed in a sample of Canadian 17-19-year-olds in their first year of university. Participants (N = 191) completed web-based checklists for 14 consecutive days during their first semester. Multilevel models predicting sleep quantity…