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  • Law School Aptitude Test (LSAT)  (1)
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    Electronic Resource
    Electronic Resource
    Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm (1981)
    Springer
    Psychometrika 46 (1981), S. 443-459 
    Details
    ISSN: 1860-0980
    Keywords: estimation of item parameters ; EM algorithm ; item analysis ; latent trait ; dichotomous factor analysis ; Law School Aptitude Test (LSAT)
    Source: Springer Online Journal Archives 1860-2000
    Topics: Psychology
    Notes: 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.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02293801
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