%0 Journal Article
%T Embedding multilevel survival analysis of dyadic social interaction in structural equation models: hazard rates as both outcomes and predictors
%J Journal of pediatric psychology
%D 2014
%A Stoolmiller, Mike
%A Snyder, James
%V 39
%N 2
%P 222-232
%X OBJECTIVE: Demonstrate multivariate multilevel survival analysis within a larger structural equation model. Test the 3 hypotheses that when confronted by a negative parent, child rates of angry, sad/fearful, and positive emotion will increase, decrease, and stay the same, respectively, for antisocial compared with normal children. This same pattern will predict increases in future antisocial behavior. METHODS: Parent-child dyads were videotaped in the fall of kindergarten in the laboratory and antisocial behavior ratings were obtained in the fall of kindergarten and third grade. RESULTS: Kindergarten antisocial predicted less child sad/fear and child positive but did not predict child anger given parent negative. Less child positive and more child neutral given parent negative predicted increases in third-grade antisocial behavior. CONCLUSIONS: The model is a useful analytic tool for studying rates of social behavior. Lack of positive affect or excess neutral affect may be a new risk factor for child antisocial behavior.<p /> <p>Language: en</p>
%G en
%I Oxford University Press
%@ 0146-8693
%U http://dx.doi.org/10.1093/jpepsy/jst076