Optimal Bayesian Adaptive Design for Test-Item Calibration

An optimal adaptive design for test-item calibration based on Bayesian optimality criteria is presented. The design adapts the choice of field-test items to the examinees taking an operational adaptive test using both the information in the posterior distributions of their ability parameters and the...

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Veröffentlicht in:	Psychometrika 2015-06, Vol.80 (2), p.263-288
Hauptverfasser:	van der Linden, Wim J., Ren, Hao
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive Testing Algorithms Assessment Bayes Theorem Behavioral Science and Psychology Calibration Design optimization Design theory Estimates Guessing (Tests) Humanities Humans Item Response Theory Law Mathematical Concepts Psychology Psychometrics Psychometrics - methods Regression analysis Research Design Statistical Theory and Methods Statistics for Social Sciences Testing and Evaluation Testing Programs
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