Download Blackwell Handbook of Adolescence by Gerald R. Adams, Michael Berzonsky PDF

By Gerald R. Adams, Michael Berzonsky

This quantity brings jointly a staff of best psychologists to supply a cutting-edge evaluation of adolescent improvement.

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Finally, van den Oord and Rowe (1997) investigated social maladjustment using the BPI measures in the NLSY. Their findings suggested that nonshared environmental influences had the most effect on children’s problem behaviors. They also found support for a “liability model,” suggesting “a stable underlying liability may be the ‘third variable’ that explains the relations between subsequent levels of problem behaviors” (pp. 319–320). Several studies addressed specific transition behaviors. Koopmans et al.

Rodgers, J. L. (2000). Genetic and environmental influences on alcohol use: DF analysis of NLSY kinship data. Journal of Biosocial Science, 32, 177–189. This article applies biometrical modeling to adolescent and young adult use of alcohol. DF analysis is a simple regression-based approach to estimating genetic and environmental variance components. Jacobson, K. , & Rowe, D. C. (1999). Genetic and environmental influences on the relationships between family connectedness, school connectedness, and adolescent depressed mood: Sex differences.

Their model identified four underlying latent classes, which were themselves shown to be heritable. However, their model rejected a unidimensional interpretation of the latent processes underlying conduct disorder. Rodgers, Rowe, and Li (1994) studied measures obtained from the Behavioral Problem Index (BPI) using 5–11-year-old children from respondents in the National Longitudinal Survey of Youth (NLSY), nationally representative data from adolescents born between 1958 and 1965. For the six subscales of the BPI, they found strong heritabilities for the more trait-based subscales (Anxiety, Hyperactivity, and Dependent) and weaker heritabilities for the social subscales (Antisocial, Peer Conflict, and Headstrong).

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