Abstract
The current study investigates the relationship between the protective factors of initiative, self-control, and attachment and their ability to predict levels of behavioral concern in a Head Start population (N=1885). Considerable research has found strong connections between protective factors and positive outcomes. However, little research has examined the unique contributions of multiple protective factors concurrently. Results of the current study indicate that when children have any one protective factor they are likely to have other protective factors. When considered individually, protective factors are predictive of low levels of behavior concern. Conversely, when all protective factors are considered together, only self-control predicts a lack of behavior concern. This implies that strength-based screeners can inform interventions that improve protective factors and may reduce behavioral problems in at-risk preschool populations.
Highlights
Low socio-economic status (SES) is a significant risk factor for the development of emotional and behavioral problems in preschool populations (Qi & Kaiser, 2003; Webster-Stratton & Hammond, 1998)
While the child resiliency literature examines protective factors independently, there is a need for empirical research that explores the relationship between protective factors, as well as their influence on behavioral concerns
These protective factor relationships as measured by the DECA have been under-studied in Head Start populations (Lien & Carlson, 2009)
Summary
Low socio-economic status (SES) is a significant risk factor for the development of emotional and behavioral problems in preschool populations (Qi & Kaiser, 2003; Webster-Stratton & Hammond, 1998). The characteristics that increase a child’s positive outcomes despite significant risk are referred to as protective factors. Placing a focus on protective factors is important due to their strength in predicting positive outcomes. Despite existing research on the importance of protective factors for predicting later positive outcomes (e.g., Caprara et al 2000), a paucity of research has examined protective factors within young children from families with low SES. The emphasis has been on measuring risk factors and behavioral concerns within this population in order to predict later behavior problems (LeBuffe & Naglieri, 1999). Understanding the connections that exist between protective factors may inform such intervention and prevention efforts, within an at-risk population. Information about the relationship between protective factors could be important when planning interventions for young children. Determining which protective factors led to beneficial outcomes could help to target interventions especially in settings with limited resources
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More From: Journal of Educational and Developmental Psychology
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