Testing Thurstonian Case V ranking models using posterior predictive checks

Rung Ching Tsai*, Grace Yao

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

2 引文 斯高帕斯(Scopus)

摘要

This paper presents the results of a Monte Carlo study which investigates the validity of the method of posterior predictive checks (PPC) for testing the fit of a Thurstonian Case V ranking model. The PPC method is employed as an alternative to standard goodness-of-fit tests which are of limited use even when the number of items to be ranked is small. Several test quantities are formed to assess the fit of the Case V ranking model to data for various sample sizes and for two types of violations of the Case V assumptions: heterogeneous stimulus variances and rankers from different populations. The study concludes that the PPC method is useful in detecting local and global misfits of a Thurstonian Case V model, even when the ranking data are sparse.

原文英語
頁(從 - 到)275-292
頁數18
期刊British Journal of Mathematical and Statistical Psychology
53
發行號2
DOIs
出版狀態已發佈 - 2000 十一月

ASJC Scopus subject areas

  • 統計與概率
  • 藝術與人文(雜項)
  • 心理學(全部)

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