Abstract
This paper presents a Gibbs sampler for the estimation of Thurstonian ranking models. This approach is useful for the analysis of ranking data with a large number of options. Approaches for assessing the goodness-of-fit of Thurstonian ranking models based on posterior predictive distributions are also discussed. Two simulation studies and two ranking studies are presented to illustrate that the Gibbs sampler is a promising solution to the numerical problems that previously plagued the estimation of Thurstonian ranking models.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 79-92 |
| Number of pages | 14 |
| Journal | British Journal of Mathematical and Statistical Psychology |
| Volume | 52 |
| Issue number | 1 |
| DOIs | |
| State | Published - May 1999 |
ASJC Scopus subject areas
- Statistics and Probability
- Arts and Humanities (miscellaneous)
- General Psychology