Systemic Optimism — Systemic Pessimism: Two Perspectives on Change

Therapists have a mandate to bring about change, and family therapists appear to have unusual leverage to fullfill such a mandate, that is, to facilitate changes rapidly and effectively. Because and in spite of this mandate, the very notion of change deserves critical reflection. The history of ideas and our clinical experience teach us that changes may be problematic. They may come too fast or too slowly, may endure or fade away, may turn out to be desirable or undesirable, equitable or inequitable, and may, when further consequences and larger systems levels are taken into account, be beneficial or disastrous. This essay examines some of the problematical and contradictory aspects of change and delineates two perspectives on change--systemic optimism and systemic pessimism.     

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.     

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.