DIMENSIONS COGNITIVES ET COMPORTEMENTALES CHEZ LES JOUEURS RÉGULIERS ET OCCASIONNELS AU BLACKJACK

Empirical studies in the psychology of gambling have revealed at least two well supported findings: (1) irrational cognitions outnumber rational cognitions during gambling (Gaboury and Ladouceur, 1987; Ladouceur, Gaboury, Dumont and Rochette 1988); (2) risk-taking behavior increases as a function to exposure to gambling activities (Ladouceur, Mayrand and Tourigny 1987; Ladouceur, Tourigny and Mayrand 1986). The present study compared regular and occasional gamblers on cognitive and behavioral measures during a blackjack session using the thinking aloud method. The results confirmed that regular players emitted more irrational thoughts than occasional gamblers. The theoretical and practical implications of those results are discussed within the general context of the psychology of gambling.     

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.