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Few researchers have assessed family interaction patterns associated with childhood depression, especially using observations in natural settings. We directly sampled the interaction patterns of families with depressed, conduct-disordered, mixed depressed-conduct-disordered, and comparison children ages 7-14 years in their homes during the evening meal. Observational measures were taken of positive and aversive behaviors and affect expression for both parents, the referred children, and their siblings. Results replicated previous research showing that conduct-disordered children express high levels of aversive behavior and anger and are part of a family system marked by conflict and aggression. The depressed children were exposed to maternal aversiveness but did not show any evidence of elevated levels of anger or aversiveness in their own behavior. Surprisingly, this was also true for the mixed-disorder children. High levels of depression in both groups of depressed children were associated with low levels of conflict and anger in family members. Overall, siblings showed very similar patterns of behavior, and were exposed to similar patterns of parental behavior, as the referred children. Results are discussed in terms of family models that emphasize the function of aggression and depression in the maintenance of child psychopathology. child category. All kappas were higher than 75% (M= 86.3, SD = 6.5). Observers were unaware of the family's group status and the specific hypotheses under investigation. depression in 7-to 14-year-olds or the rate at which such depression is detected and referred in this group is considerably lower in our community than elsewhere (Kazdin, 1990). Further research into ethnocultural variations in the occurrence and referral of childhood depression might reveal valuable epidemiological data. The final publication can be obtained online from APA PsycNET

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The paper presents an argument for treating certain types of computer simulation as having the same epistemic status as experimental measurement. While this may seem a rather counterintuitive view it becomes less so when one looks carefully at the role that models play in experimental activity, particularly measurement. I begin by discussing how models function as ''measuring instruments'' and go on to examine the ways in which simulation can be said to constitute an experimental activity. By focussing on the connections between models and their various functions, simulation and experiment one can begin to see similarities in the practices associated with each type of activity. Establishing the connections between simulation and particular types of modelling strategies and highlighting the ways in which those strategies are essential features of experimentation allows us to clarify the contexts in which we can legitimately call computer simulation a form of experimental measurement.