A Bayesian Model for the Study of Interpersonal Perception
نویسنده
چکیده
A fully Bayesian approach is proposed to the analysis of accuracy and mutuality in interpersonal perceptions. The Bayesian analysis is based on social relations model (SRM) formulation. Inference is straightforward using Markov chain Monte Carlo (MCMC) methods as implemented in the software package WinBUGS. An Example is provided to highlight the use of Bayesian analysis of interpersonal attraction data.
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