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Measuring attitudes with a threshold model drawing on a traditional scaling concept
Rost, Jürgen (1988)
 

Title 
Measuring attitudes with a threshold model drawing on a traditional scaling concept

Author(s)

Issue Date
1988

Type
Article

Abstract
This paper presents a generalized Rasch model for measuring attitudes which is based on the concepts of Thurstone’s method of successive intervals. The model combines the rating scale and the dispersion model proposed by Andrich and a submodel of the partial credit model proposed by Masters. An estimation procedure for unconditional maximum likelihood (ML) estimates is outlined. A recursion formula for the symmetric functions, which is needed for conditional ML procedures, is given. The benefits of the model are illustrated with a study on students’ interest in physics. The fit of different threshold models can be compared using conditional likelihood values and conditional likelihood ratio tests. Index terms: attitude measurement, conditional likelihood ratio test, partial credit model, Rasch model, rating scales, successive intervals, threshold model.

Appears in Collection(s)

Other Identifier(s)
other: doi:10.1177/014662168801200408

Suggested Citation
Rost, Jürgen. (1988). Measuring attitudes with a threshold model drawing on a traditional scaling concept. Retrieved from the University of Minnesota Digital Conservancy, http://purl.umn.edu/104315.


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