The design and analysis of social-interaction research.
Static models of interacting persons measured at the interval level are reviewed. A discussion of the fundamental sources of variance and key design decisions in social-interaction research is presented. Outlined are the basic designs for social-interaction research and their proper analysis. Multilevel modeling is likely to become the most common data analysis method. Critical issues unique to social-interaction research are examined, particularly the effect of the partner on the interaction actor. Finally, illustrations of analyses from four extended examples are presented.
Kenny
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Department of Psychology U-20, University of Connecticut, Storrs 06269-1020, USA.
D000328:Adult; D002648:Child; D005190:Family / Q000523:psychology; D005260:Female; D005783:Gender Identity; D006801:Humans; D007398:Interpersonal Relations; D007857:Leadership; D008297:Male; D008393:Marriage / Q000523:psychology; D008960:Models, Psychological; D015233:Models, Statistical; D009034:Mother-Child Relations; D012919:Social Behavior