A Subdividing Method for Generalizability Theory [microform] : Precision of Measurement Errors and Patterns of Missing Data / Christopher W. T. Chiu.

A procedure was developed to analyze data with missing observations by extracting data from a sparsely filled data matrix into analyzable smaller subsets of data. This subdividing method, based on the conceptual framework of meta-analysis, was accomplished by creating data sets that exhibit structur...

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Bibliographic Details

Online Access:	Request ERIC Document
Main Author:	Chiu, Christopher W. T.
Format:	Microfilm Book
Language:	English
Published:	[Place of publication not identified] : Distributed by ERIC Clearinghouse, 2000.
Subjects:	Difficulty Level. Error of Measurement. Generalizability Theory. Interrater Reliability. Monte Carlo Methods. Simulation.