title: ThurCatD: a tool for analyzing ratings on an ordinal category scale.
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.
authors.affiliation: IPO, Center for User-System Interaction, Eindhoven, The Netherlands. m.c.boschman@tue.nl
authors.forename: M C
authors.initials: MC
authors.lastname: Boschman
mesh_terms: D000465:Algorithms; D007600:Judgment; D016013:Likelihood Functions; D008960:Models, Psychological