Modeling the Hyperdistribution of Item Parameters To Improve the Accuracy of Recovery in Estimation Procedures [electronic resource] / Joy L. Matthews-Lopez and Catherine M. Hombo.

The purpose of this study was to examine the recovery of item parameters in simulated Automatic Item Generation (AIG) conditions, using Markov chain Monte Carlo (MCMC) estimation methods to attempt to recover the generating distributions. To do this, variability in item and ability parameters was ma...

Full description

Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Author:	Matthews-Lopez, Joy L.
Other Authors:	Hombo, Catherine M.
Format:	Electronic eBook
Language:	English
Published:	[Place of publication not identified] : Distributed by ERIC Clearinghouse, 2001.
Subjects:	Estimation (Mathematics) Monte Carlo Methods. Statistical Distributions. Test Construction.