CUSUM Statistics for Large Item Banks [electronic resource] : Computation of Standard Errors. Law School Admission Council Computerized Testing Report. LSAC Research Report Series / C. A. W. Glas.

In a previous study (1998), how to evaluate whether adaptive testing data used for online calibration sufficiently fit the item response model used by C. Glas was studied. Three approaches were suggested, based on a Lagrange multiplier (LM) statistic, a Wald statistic, and a cumulative sum (CUMSUM)...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Author:	Glas, C. A. W.
Corporate Author:	Law School Admission Council
Format:	Electronic eBook
Language:	English
Published:	[Place of publication not identified] : Distributed by ERIC Clearinghouse, 2001.
Subjects:	Adaptive Testing. Computer Assisted Testing. Error of Measurement. Estimation (Mathematics) Goodness of Fit. Item Banks. Item Response Theory. Online Systems. Simulation. Test Items.