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1  Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via  the EM algorithm (with discussion). Journal of the Royal Statistical Society, 39, Series B, 1–38.

2 Drasgow, F. (1989). An evaluation of marginal maximum likelihood estimation for the two-parameter  logistic model. Applied Psychological Measurement, 13, 77–90.

3 du Toit, M. (2003). IRT from SSI: BILOG-MG, MULTILOG, PARSCALE, TESTFACT. Lincolnwood,  IL: Scientific Software International.

4 Gierl, M. J., & Ackerman, T. (1996). XCALIBRE™ Marginal Maximum-likelihood estimation program,    Windows™ Version 1.10 [Software review]. Applied Psychological Measurement, 20, 303–307.

5  Harwell, M. R., Baker, F. B., & Zwarts, M. (1988). Item parameter estimation via marginal maximum   likelihood and an EM algorithm: A didactic. Journal of Educational Statistics, 13, 243–271.

6 Muraki, E. (1992). A generalized partial credit model: Application of an EM alogorithm. Applied Psychological   Measurement, 16, 159–176.

7 Muraki, E., & Bock, R. D. (1997). PARSCALE 3: IRT based test scoring and item analysis for graded items and rating scales (computer software). Chicago: Scientific Software International.

8 Reise, S. P., & Yu, J. (1990). Parameter recovery in the Graded Response Model using MULTILOG.  Journal of Educational Measurement, 27, 133–144.

10 Stone, C. A. (1992). Recovery of marginal maximum likelihood estimates in the two-parameter logistic response model: An evaluation of MULTILOG. Applied Psychological Measurement, 16, 1–16.

11 Yen, W. M. (1987). A comparison of the efficiency and accuracy of BILOG and LOGIST.  Psychometrika, 52, 275–291.

12 Zimowski, M. F., Muraki, E., Mislevy, R. J., & Bock, R. D. (1996). BILOG-MG: Multiple-group IRT
    analysis and test maintenance for binary items [Computer software]. Chicago: Scientific Software  International.