期刊
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
卷 97, 期 457, 页码 8-17出版社
AMER STATISTICAL ASSOC
DOI: 10.1198/016214502753479185
关键词
hierarchical Bayes; Markov chain Monte Carlo; meta-analysis; paired-comparisons; Thurstonian model
A model for analyzing rank data obtained from multiple evaluators, possibly using different ranking criteria, is proposed. The model is specified hierarchically within the Bayesian paradigm and includes parameters that represent the probabilities that two items are assigned equal rankings. Also included are parameters that account for the relative precision of rankings obtained from distinct evaluation schemes. The model is illustrated through a meta-analysis of rank data collected to compare the cognitive abilities of various primate genera.
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