CHILD-REARING BELIEFS WITHIN DIVERSE SOCIAL STRUCTURES: MOTHERS AND DAY-CARE PROVIDERS IN MEXICO*

The child-rearing beliefs of 32 mothers and 36 day-care providers in Mexico were compared. Day-care providers expected children to master developmental skills at an earlier age than did mothers. Day-care providers more strongly valued the development of independent and cooperative behavior, and placed less importance on obedience. They also reported employing more flexible and nonauthoritarian discipline strategies than did mothers. Mothers and caregivers did not differ in the extent to which they attributed the success of their discipline strategies to their own actions rather than to external factors. Also examined was how mothers' beliefs differed in families characterized by interdependent versus individualistic social structures. In interdependent families, mothers were more likely to believe in later mastery of developmental skills and to make external attributions. These findings suggest that Mexican children experience incongruous social norms as they move between home and day care settings, and that these norms, at least within the home, are associated with the social structural features of the setting.     

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.