Abstract
An algorithm for analyzing ordinal scaling results is described. Frequency data on ordinal categories are modeled for unidimensional psychological attributes according to Thurstone’s judgment scaling model. The algorithm applies maximum likelihood estimation of model parameters. The Cramér-Rao bounds of the standard errors of the estimated parameters are calculated, and a stress measure and a goodness-of-fit measure are supplied.
The author is indebted to Niek Versfeld for the fruitful discussions we had on this subject, to Jean-Bernard Martens for the useful suggestions he offered, and to Martijn Willemsen for reviewing my manuscript before submission.
| Original language | English |
|---|---|
| Pages (from-to) | 379-388 |
| Number of pages | 10 |
| Journal | Behavior Research Methods, Instruments and Computers |
| Volume | 32 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2000 |