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Modelling subjective use of an ordinal response scale in a many period crossover experiment
Author(s) -
Wolfe Rory,
Firth David
Publication year - 2002
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.1111/1467-9876.00267
Subject(s) - ordinal data , multiplicative function , markov chain monte carlo , econometrics , statistics , ordered logit , markov chain , logit , crossover , ordinal regression , computer science , maximum likelihood , mathematics , monte carlo method , artificial intelligence , mathematical analysis
Summary. The analysis of psychoacoustic experiments in telecommunications research motivates the modelling of a repeated ordinal response by using logit models in which subject effects are both additive and multiplicative. Estimation by maximum likelihood and using Markov chain Monte Carlo methods is discussed, and the results are compared. The models and methods used are of potential value in many other applied contexts which involve a subjective interpretation of response category labels.