Hierarchical modeling of sequential behavioral data: an empirical Bayesian approach

The authors review the common methods for measuring strength of contingency between 2 behaviors in a behavioral sequence, the binomial z score and the adjusted cell residual, and point out a number of limitations of these approaches. They present a new approach using log odds ratios and empirical Bayes estimation in the context of hierarchical modeling, an approach not constrained by these limitations. A series of hierarchical models is presented to test the stationarity of behavioral sequences, the homogeneity of sequences across a sample of episodes, and whether covariates can account for variation in sequences across the sample. These models are applied to observational data taken from a study of the behavioral interactions of 254 couples to illustrate their use.     

Person-Centered Maternal Emotion Socialization and Child Temperament: Relations to Children’s Emotion Regulation and Anxiety and Depressive Symptoms

Journal of Child and Family Studies - Maternal emotion socialization and children’s temperament are two foundations of children’s emotional development. Yet, emotion socialization and...