Open Access
Comparison between conditional and marginal maximum likelihood for a class of item response models
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The article was published on 2013-01-01 and is currently open access. It has received 0 citations till now. The article focuses on the topics: Restricted maximum likelihood & Marginal likelihood.read more
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Journal ArticleDOI
Specification Tests in Econometrics
TL;DR: In this article, the null hypothesis of no misspecification was used to show that an asymptotically efficient estimator must have zero covariance with its difference from a consistent but asymptonically inefficient estimator, and specification tests for a number of model specifications in econometrics.
Journal ArticleDOI
Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm.
R. Darrell Bock,Murray Aitkin +1 more
TL;DR: The Em procedure is shown to apply to general item-response models lacking simple sufficient statistics for ability, including models with more than one latent dimension, when computing procedures based on an EM algorithm are used.
On General Laws and the Meaning of Measurement in Psychology
TL;DR: In this article, the authors have developed three models for reactions to certain attainment tests and intelligence tests, and used these models to develop individual-centered statistics for abnormal psychology, which are used in a recently published book.
Journal ArticleDOI
Marginal maximum likelihood estimation of item parameters
R. D. Bock,Murray Aitkin +1 more
Journal ArticleDOI
Separate sample logistic discrimination
TL;DR: In this article, the problem of logistic discrimination when all or most of the observations are qualitative is discussed and the results of Aitchison & Silvey (1958) on constrained maximum likelihood estimation are extended to the situation where separate samples are taken from each population.
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