This article reviews the software package SimuMCAT that simulates unidimensional and multidimensional computerized adaptive testing with various types of items (dichotomous/polytomous) and loading structures (simple-/complex-structured). In addition, the software allows users to choose from five different item selection procedures, two stopping rules for variable-length tests, as well as test constraints to satisfy test blueprint and limit item exposure.
ChengY.ChangH.-H. (2009). The maximum priority index method for severely constrained item selection in computerized adaptive testing. British Journal of Mathematical and Statistical Psychology, 62, 369-383.
LuechtR. M. (1996). Multidimensional computerized adaptive testing in a certification or licensure context. Applied Psychological Measurement, 20, 389-404.
4.
MagisD.RaicheG. (2011). catR: An R package for computerized adaptive testing. Applied Psychological Measurement, 35, 576-577.
5.
MulderJ.van der LindenW. J. (2009). Multidimensional adaptive testing with optimal design criteria for item selection. Psychometrika, 74, 273-296.
6.
ReckaseM. D. (1997). The past and future of multidimensional item response theory. Applied Psychological Measurement, 21, 25-36.
7.
SegallD. O. (1996). Multidimensional adaptive testing. Psychometrika, 61, 331-354.
8.
SympsonJ. B.HetterR. D. (1985). Controlling item exposure rates in computerized adaptive testing. In Proceedings of the 27th annual meeting of the Military Testing Association (pp. 937-977), San Diego, CA: Navy Personnel Research and Development Center.
9.
VeldkampB. P.van der LindenW. J. (2002). Multidimensional adaptive testing with constraints on test content. Psychometrika, 67, 575-588.
10.
WangC.ChangH.-H. (2011). Item selection in multidimensional computerized adaptive testing—Gaining information from different angles. Psychometrika, 76, 363-384.
11.
WangC.ChangH.-H.BoughtonK. A. (2011). Kullback-Leibler information and its applications in multi-dimensional adaptive testing. Psychometrika, 76, 13-39.
12.
WangW. C.ChenP. H. (2004). Implementation and measurement efficiency of multidimensional computerized adaptive testing. Applied Psychological Measurement, 28, 295-316.
13.
YaoL. (2003). BMIRT: Bayesian Multivariate Item Response Theory [Computer software]. Monterey, CA: Defense Manpower Data Center.
14.
YaoL. (2004). LinkMIRT: Linking of Multivariate Item Response Model [Computer software]. Monterey, CA: Defense Manpower Data Center.
15.
YaoL. (2010). Multidimensional ability estimation: Bayesian or non-Bayesian. Unpublished manuscript.
16.
YaoL. (2011). SimuMCAT: Simulation of Multidimensional Computer Adaptive Testing [Computer software]. Monterey, CA: Defense Manpower Data Center.
17.
YaoL. (2012). Multidimensional CAT item selection methods for domain scores and composite scores: Theory and applications. Psychometrika, 77, 495-523.
18.
YaoL. (2013). Comparing the performance of five multidimensional CAT selection procedures with different stopping rules. Applied Psychological Measurement, 37, 3-23.
19.
YaoL. (2014, April). Optimal item pool generation and the performance of multidimensional CAT. Paper presented at the 2014 meeting of the National Council on Measurement in Education, Philadelphia, PA.
20.
YaoL.PommerichM.SegallD. (2013, April). Using multidimensional CAT to administer a short, yet precise screening test. Paper presented at the 2013 meeting of the National Council on Measurement in Education, San Francisco, CA.
21.
YaoL.SchwarzR. D. (2006). A multidimensional partial credit model with associated item and test statistics: An application to mixed-format tests. Applied Psychological Measurement, 30, 469-492.