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Behavior Research Methods, Instruments, & Computers

, Volume 32, Issue 3, pp 379–388 | Cite as

ThurCatD: A tool for analyzing ratings on an ordinal category scale

  • Martin C. BoschmanEmail author
Article
  • 235 Downloads

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.

Keywords

Internal Noise Asymptotic Standard Error Psychological Continuum Insufficient Statistic Fisher Matrix 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Psychonomic Society, Inc. 2000

Authors and Affiliations

  1. 1.Center for User-System InteractionIPOEindhovenThe Netherlands

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