The relationship of undershooting (anticipation) error in space localization to spatial dimension and spatial category width

In this study I explored whether the degree of anticipation/habituation (undershooting/overshooting) varies with the dimension to be localized, when the method of adjustment is used in space localization. In this study, undershooting occurred for both the vertical (Group 1) and the horizontal (Group 2) dimensions, but was significant only for verticality. The magnitude of undershooting observed for verticality was significantly greater than that for horizontality. A secondary issue regarding the possible relationship between spatial category width and undershooting/overshooting was examined. It was hypothesized that greater degree of spatial category width would be associated with greater undershooting. The opposite was found: Spatial category width was negatively related to undershooting. Finally, within each group, very high consistency of magnitude of spatial category width was observed (rs greater than .90), despite the fact that spatial category width showed shrinkage over the course of the study.     

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.     

THE EFFECT OF THE KOREAN NUMBER SYSTEM ON YOUNG CHILDREN'S COUNTING: A NATURAL EXPERIMENT IN NUMERICAL BILINGUALISM

In Korea, two number systems are in simultaneous use. One is somewhat irregular (like the English language number system), and the other regular (similar to the Chinese number system). This natural experiment allows a direct test of the hypothesis that structural regularity of the number system facilitates the acquisition of counting. Korean children initially suffer from their numerical ‘bilingualism’: they find it difficult to learn two counting systems at the same time. Yet, after this initial difficulty, they soon master the generative rules which are transparent in the regular system. The cognitive advantage provided by the regular number system then combines with other factors, like intensive teaching and parental pressure, to produce school achievement in mathematics superior to US children's.     

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.