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Chiu, Christopher W. T.; Wolfe, Edward W. – Applied Psychological Measurement, 2002
Developed a procedure for overcoming the computational and technological limitations of analyzing data with missing observations by extracting data from a sparsely filled data matrix into analyzable smaller subsets of data. Demonstrated the validity of this subdividing method using a Monte Carlo simulation. (SLD)
Descriptors: Generalizability Theory, Matrices, Simulation, Validity