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Please use this identifier to cite or link to this item: http://hdl.handle.net/11299/104315

Title: Measuring attitudes with a threshold model drawing on a traditional scaling concept
Authors: Rost, Jürgen
Issue Date: 1988
Citation: Rost, Jürgen. (1988). Measuring attitudes with a threshold model drawing on a traditional scaling concept. Applied Psychological Measurement, 12, 397-409. doi:10.1177/014662168801200408
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.
URI: http://purl.umn.edu/104315
Appears in Collections:Volume 12, 1988

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