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,
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
Measuring attitudes with a threshold model drawing on a traditional scaling concept.
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