DifScal: a tool for analyzing difference ratings on an ordinal category scale

An algorithm for analyzing difference scaling results is described. Frequency data on ordered categories that represent perceived differences for a unidimensional psychological attribute are modeled according to Thurstone's judgment scaling model. The algorithm applies the gradient method for t...

Full description

Saved in:
Bibliographic Details
Published in:Behavior research methods, instruments, & computers instruments, & computers, 2001-02, Vol.33 (1), p.10-20
Main Author: Boschman, M C
Format: Article
Language:English
Subjects:
Discrimination Learning
Humans
Mathematical Computing
Models, Statistical
Perception
Psychometrics
Research - statistics & numerical data
Software
Stochastic Processes
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:An algorithm for analyzing difference scaling results is described. Frequency data on ordered categories that represent perceived differences for a unidimensional psychological attribute are modeled according to Thurstone's judgment scaling model. The algorithm applies the gradient method for the maximum likelihood estimation of the model parameters. Two ways to calculate the start configuration for the model parameters are elaborated. The algorithm also provides asymptotic values for the standard errors of the estimates and three measures for the goodness of the model fit. An additional features of DifScal is that it is suited to analyze incomplete data.
ISSN:0743-3808
1532-5970
DOI:10.3758/BF03195343