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.     

Family system functioning: behavior in the laboratory and the family treatment setting

The Family System Functioning (FSF) scale is a new instrument for measuring dimensions of the intrafamilial environment thought to be important in recovery from major psychiatric illness. Modest statistical correlations were obtained when FSF ratings of laboratory-based family interactions were compared with researcher-guided therapist ratings of FSF based upon the family's behavior in family therapy sessions during the subsequent month. The data from these two settings provide support for the validity of some of the scales. Because of the modest size of the correlations, however, behavior in the laboratory setting may not always be an accurate indicator of how the family will behave in the early weeks of family therapy.     

Similar as well as dissimilar contextual stimuli increase rated similarity

Contextual stimuli from one category increase the rated similarity of stimuli from a second category. In Experiment 1, associates of one of the members of pairs of target words increased the rated similarity of the members slightly more than did much less similar contextual stimuli. In Experiment 2, contextual category names and good exemplars increased the rated similarity of pairs of poor to medium target exemplars and were also rated as more similar to these targets than the targets were to each other. In both cases, the category names resulted in the stronger effect. This ability of contextually similar stimuli to increase rated similarity opposes the distance-density and averaging-judgmental theories of the effect of context on similarity. However, the theory that a positive association exists between the perceived similarity of stimuli and the strength of the category to which they belong explains how both contextually dissimilar and contextually similar stimuli can increase rated similarity.