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.     

RELIABILITY AND FACTORIAL VALIDITY OF THE JUNIOR EYSENCK PERSONALITY QUESTIONNAIRE IN ZIMBABWE

Six-hundred and thirteen girls and 601 boys in Zimbabwe completed the Junior Eysenck Personality Questionnaire (JEPQ). The reliability of the Neuroticism (N) and Social Desirability (L) factors was acceptable but the Psychoticism (P) and Extraversion (E) factors possessed modest reliability. While the factorial validity of the P, N and L scales was acceptable, the factorial validity of the E scale was poor. L scores were significantly correlated with N and P scores among girls and boys. Whereas Zimbabwean girls reported higher P scores than did Canadian girls, Zimbabwean boys reported lower P scores than did Canadian boys. Zimbabwean girls and boys reported lower E and N and higher P scores than their Canadian counterparts. This study provides broad support for Eysenck's basic personality model, but it does not support the use of this version of the JEPQ, and especially the E scale, among Zimbabwean children.     

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.