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A Method for Analyzing Sparse Data Matrices in the Generalizability Theory Framework
Abstract
In generalizability analyses, unstable, and potentially invalid, variance component estimates may result from using only a limited portion of available data. However, missing observations are common in operational performance assessment settings because of the nature of the assessment design. This article describes a procedure for overcoming the computational and technological limitations in analyzing data with missing observations by extracting...
Paper Details
Title
A Method for Analyzing Sparse Data Matrices in the Generalizability Theory Framework
Published Date
Sep 1, 2002
Volume
26
Issue
3
Pages
321 - 338
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