Comparing Multiunidimensional and Unidimensional Item Response Theory Models  

Oleh:

Sheng, Yanyan ; Wikle, Christopher K.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Educational and Psychological Measurement vol. 67 no. 06 (Dec. 2007), page 899-919.
Topik: item response theory; unidimensional model; multiunidimensional model; Markov chain Monte Carlo; Bayesian model choice
Fulltext: 899.pdf (577.74KB)

Isi artikel

For tests consisting of multiple subtests, unidimensional item response theory (IRT) models apply when the subtests are known to measure a common underlying ability. However, in many instances, due to the lack of a satisfactory index for assessing the dimensionality assumption, the test structure is not clear. A more general IRT model, the multiunidimensional model, is more flexible and efficient in various test situations. This article compares these two classes of normal ogive two-parameter models and shows that the multiunidimensional model offers a better way to represent test situations not realized in unidimensional models.

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