TY - JOUR
T1 - Multidimensional Computerized Adaptive Testing for Classifying Examinees With Within-Dimensionality
AU - van Groen, Maaike M.
AU - Eggen, Theodorus Johannes Hendrikus Maria
AU - Veldkamp, Bernard P.
PY - 2016
Y1 - 2016
N2 - A classification method is presented for adaptive classification testing with a multidimensional item response theory (IRT) model in which items are intended to measure multiple traits, that is, within-dimensionality. The reference composite is used with the sequential probability ratio test (SPRT) to make decisions and decide whether testing can be stopped before reaching the maximum test length. Item-selection methods are provided that maximize the determinant of the information matrix at the cutoff point or at the projected ability estimate. A simulation study illustrates the efficiency and effectiveness of the classification method. Simulations were run with the new item-selection methods, random item selection, and maximization of the determinant of the information matrix at the ability estimate. The study also showed that the SPRT with multidimensional IRT has the same characteristics as the SPRT with unidimensional IRT and results in more accurate classifications than the latter when used for multidimensional data.
AB - A classification method is presented for adaptive classification testing with a multidimensional item response theory (IRT) model in which items are intended to measure multiple traits, that is, within-dimensionality. The reference composite is used with the sequential probability ratio test (SPRT) to make decisions and decide whether testing can be stopped before reaching the maximum test length. Item-selection methods are provided that maximize the determinant of the information matrix at the cutoff point or at the projected ability estimate. A simulation study illustrates the efficiency and effectiveness of the classification method. Simulations were run with the new item-selection methods, random item selection, and maximization of the determinant of the information matrix at the ability estimate. The study also showed that the SPRT with multidimensional IRT has the same characteristics as the SPRT with unidimensional IRT and results in more accurate classifications than the latter when used for multidimensional data.
KW - METIS-317606
KW - IR-101005
U2 - 10.1177/0146621616648931
DO - 10.1177/0146621616648931
M3 - Article
VL - 40
SP - 387
EP - 404
JO - Applied psychological measurement
JF - Applied psychological measurement
SN - 0146-6216
IS - 6
ER -