1981 MarginalMaximumLikelihoodEstima

• (Bock & Aitkin, 1981) ⇒ R Darrell Bock, and Murray Aitkin. (1981). “Marginal Maximum Likelihood Estimation of Item Parameters: Application of An EM Algorithm.” In: Psychometrika. doi:10.1007/BF02293801

Subject Headings: Item Response Theory (IRT); EM Algorithm; Latent Variable; Dichotomous Factor Analysis; Maximum Marginal Likelihood Estimation

Cited By

• http://scholar.google.com/scholar?q=%22Marginal+maximum+likelihood+estimation+of+item+parameters%3A+Application+of+an+EM+algorithm%22+1981

Quotes

Author Keywords

• estimation of item parameters, EM algorithm, item analysis, latent trait, dichotomous factor analysis, Law School Aptitude Test (LSAT)

Abstract

Maximum likelihood estimation of item parameters in the marginal distribution, integrating over the distribution of ability, becomes practical when computing procedures based on an EM algorithm are used. By characterizing the ability distribution empirically, arbitrary assumptions about its form are avoided. The Em procedure is shown to apply to general item-response models lacking simple sufficient statistics for ability. This includes models with more than one latent dimension.

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References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
1981 MarginalMaximumLikelihoodEstima	R Darrell Bock Murray Aitkin			Marginal Maximum Likelihood Estimation of Item Parameters: Application of An EM Algorithm				10.1007/BF02293801		1981