On the Bock-Aitkin procedure - From an EM algorithm perspective

Psychometrika

Volumn 65, Issue 4, 2000, Pages 547-549

  Hsu, Yaowen ^a  

^a American College Testing Incorporated   (United States)

Author keywords

Bock Aitkin procedure; EM algorithm; Item response theory; Marginal maximum likelihood estimation

Indexed keywords

EID: 0039600586     PISSN: 00333123     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02296345     Document Type: Review

References (8)

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2. Bock, R. D., & Lieberman, M. (1970). Fitting a response model for n dichotomously scored items. Psychometrika, 35, 179-197.
3. 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, Series B, 39, 1-38.
4. Holland, P. W. (1990). On the sampling theory foundations of item response theory models. Psychometrika, 55, 577-601.
5. Hsu, Y., Ackerman, T.A., & Fan, M. (1999). The relationship between the Bock-Aitkin procedure and the EM algorithm for IRT model estimation (ACT Research Report Series 99-7). Iowa City, IA: ACT.
6. Mislevy, R.J., & Stocking, M.L. (1989). A consumer's guide to LOGIST and BILOG. Applied Psychological Measurement, 13, 57-75.
7. Stout, W.F. (1990). A new item response theory modeling approach with applications to unidimensionality assessment and ability estimation. Psychometrika, 55, 293-325.
8. Wu, C.F.J. (1983). On the convergence properties of the EM algorithm. Annals of Statistics, 11, 95-103.