Albert, J. H. (1992). Bayesian estimation of normal ogive itemresponse curves using Gibbs sampling. Journal of Educational Statistics, 17, 251-269.
2.
Baker, F. B. (1992). Item response theory: Parameter estimation techniques. New York: Marcel Dekker.
3.
Bartholomew, D. J. (1987). Latent variable models and factor analysis. New York: Oxford University Press.
4.
Levine, M. V. (1984). An introduction to multilinear formula score theory (Office of Naval Research Report 84-4). Champaign: University of Illinois, Department of Educational Psychology, Model Based Measurement Laboratory.
5.
Mellenbergh, G. J. (1995). Conceptual notes on models for discrete polytomous responses. Applied Psychological Measurement, 19, 91-100.
6.
McDonald, R. P. (in press). Test theory: A unified treatment. New York: Harper-Collins.
7.
Muthen B. (1978). Contributions to factor analysis of dichotomous variables. Psychometnika, 43, 551-560.
8.
Muthen, B. (1984). A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators. Psychometrika, 49, 115-132.
9.
Samejima, F. (1990). Differential weight procedure of the conditional P.D.F approach for estimating the operating characteristics of discrete item responses (Office of Naval Research Report 90-4). Knoxville: University of Tennessee, Department of Psychology.
10.
Thissen, D. , & Steinberg, L. (1986). A taxonomy of item response models. Psychometrika, 51, 567-577.