title: Embedding multilevel survival analysis of dyadic social interaction in structural equation models: hazard rates as both outcomes and predictors.
abstract: 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.
authors.affiliation: PhD, 3084 Island Beach Road, Marquette, MI 49855, USA. stoolmil@uoregon.edu.
authors.forename: Mike
authors.initials: M
authors.lastname: Stoolmiller
authors.forename: James
authors.initials: J
authors.lastname: Snyder
mesh_terms: D002648:Child; D002652:Child Behavior / Q000523:psychology*; D002675:Child, Preschool; D004644:Emotions; D005260:Female; D006801:Humans; D008297:Male; D010287:Parent-Child Relations; D016019:Survival Analysis
keywords: behavior problems; family functioning; longitudinal research; structural equation modeling