A Method for Analyzing Sparse Data Matrices in the Generalizability Theory Framework

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...