Hierarchical modeling of sequential behavioral data: an empirical Bayesian approach.

@article{Dagne2002HierarchicalMO,
  title={Hierarchical modeling of sequential behavioral data: an empirical Bayesian approach.},
  author={Getachew A Dagne and George W Howe and C Hendricks Brown and Bengt O. Muth{\'e}n},
  journal={Psychological methods},
  year={2002},
  volume={7 2},
  pages={262-80}
}
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… CONTINUE READING

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