A comparison of parameter covariance estimation methods for item response models in an expectation-maximization framework
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DOI: 10.1080/23311908.2017.1279435
Abstract: The Expectation-Maximization (EM) algorithm is a method for finding the maximum likelihood estimate of a model in the presence of missing data. Unfortunately, EM does not produce a parameter covariance matrix for standard errors. Both… read more here.
Keywords: parameter covariance; estimation; item response; response ... See more keywords