Abstract
Abstract: The use of response‐contingent testing to estimate mental abilities has relied hitherto on pre‐programming of items. An obvious extension is to perform the item selection during the test administration, making use of information about the subject as he provides it The updating of ability estimates is handled naturally by repeated application of Bayes theorem. Using a probablistic item response model, a latent trait estimation procedure is developed. Results of an actual implementation of adaptive testing are reported and applications of the procedure in a number of measurement settings are suggested.
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