Abstract #301859

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JSM 2002 Abstract #301859
Activity Number: 183
Type: Contributed
Date/Time: Tuesday, August 13, 2002 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Computing*
Abstract - #301859
Title: Estimating Random Effects in Multidimensional Unfolding
Author(s): Shiang-Tung Jung*+ and Richard Gonzalez
Affiliation(s): University of Michigan and University of Michigan
Address: , , , ,
Keywords: multidimensional scaling ; random effect ; multidimensional unfolding ; alternative least squares
Abstract:

Multidimensional unfolding is a scaling technique for rating data. In multidimensional unfolding, each subject gives ratings for all stimuli. Greenacre and Browne (1986) proposed an alternating least-squares algorithm to fit a metric model to estimate subject ideal points and configuration of stimuli. Because subjects are randomly selected, the subject ideal points should be treated as random effects. We propose a modification of the Greenacre and Browne algorithm that allows random effects parameters. The benefits of this model are the ability to estimate random effect within subjects and the ability to include linear predictors.

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