An Investigation of the Professional Travel Environment

In this study the authors compared women's and men's reactions to various professional travel situations. A multivariate analysis of covariance was used to determine the effects of sex, professional role, and years traveling on the perceptions of these travel situations.     

Sources of Test Information

In this article the author lists and discusses sources of test information, with special attention on information given to what will be valuable to employment and career counselors.     

Symbiosis, the Family, and Natural Systems

Family systems theory, as developed by Murray Bowen, has its conceptual basis in natural systems. A basic premise is that emotional process is not unique to homo sapiens and that human behavior might better be understood by observing this process in the broader context of all natural systems. This essay discusses the phenomenon of symbiosis as it is used in the natural sciences and as it relates to the emergence of increasingly complex systems in nature. Finally, the emergence of the parent/offspring symbiosis from its possible origins to its development in the human family is discussed.     

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.