Abstract
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.
Original language | English |
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Pages (from-to) | 275-292 |
Number of pages | 18 |
Journal | British Journal of Mathematical and Statistical Psychology |
Volume | 53 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2000 Nov |
Externally published | Yes |
ASJC Scopus subject areas
- Statistics and Probability
- Arts and Humanities (miscellaneous)
- General Psychology