1981 MarginalMaximumLikelihoodEstima

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

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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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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
1981 MarginalMaximumLikelihoodEstimaR Darrell Bock
Murray Aitkin
Marginal Maximum Likelihood Estimation of Item Parameters: Application of An EM Algorithm10.1007/BF022938011981
AuthorR Darrell Bock + and Murray Aitkin +
doi10.1007/BF02293801 +
titleMarginal Maximum Likelihood Estimation of Item Parameters: Application of An EM Algorithm +
year1981 +