Preventing Substance Abuse Among American-Indian Adolescents: A Bicultural Competence Skills Approach

Tobacco, alcohol, and drug use are problems for American-Indian people. We reviewed these problems and the explanations for them and described a bicultural competence skills approach for preventing substance abuse with American-Indian adolescents. Data from a study of that approach suggest its efficacy with American-Indian youth. At posttest and a 6-month follow-up, American-Indian subjects who received preventive intervention based on bicultural competence skills concepts improved more than did American-Indian subjects in a no-intervention control condition on measures of substance-use knowledge, attitudes, and interactive skills, and on self-reported rates of tobacco, alcohol, and drug use. Our findings have implications for future substance-abuse prevention research with American-Indian people.     

RELATIONSHIP BETWEEN HOLLAND'S TYPOLOGY AND COGNITIVE STYLES

This paper combines the results of two studies across different cultures which included an investigation into the relationship between field-dependence-independence and vocational orientations within the framework of Holland's theory of career choice and Witkin's theory of psychological differentiation. The samples included 179 Canadian senior high school students and 376 Pakistani college and university students. Both samples were administered Self-Directed Search and Group Embedded Figures Test. The results indicated a significant relationship between cognitive styles and vocational orientations. It was evident from the findings of these two studies that the theories of Holland and Witkin dove-tail nicely with each other.     

Robustness of normal theory methods in the analysis of linear latent variate models

The structure of the covariance matrix of sample covariances under the class of linear latent variate models is derived using properties of cumulants. This is employed to provide a general framework for robustness of statistical inference in the analysis of covariance structures arising from linear latent variate models. Conditions for normal theory estimators and test statistics to retain each of their usual asymptotic properties under non-normality of latent variates are given. Factor analysis, LISREL and other models are discussed as examples.