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Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
Brannick, Michael T.; Spector, Paul E. – Applied Psychological Measurement, 1990
Applications of the confirmatory factor analysis block-diagonal model to published data on 18 multitrait-multimethod matrices were reviewed to show widespread estimation problems. Possible causes of estimation difficulties were explored using computer simulations. These problems make the block-diagonal approach less useful than has generally been…
Descriptors: Estimation (Mathematics), Mathematical Models, Matrices, Multitrait Multimethod Techniques
Peer reviewed Peer reviewed
Baker, Frank B. – Applied Psychological Measurement, 1993
Using simulation, the effect that misspecification of elements in the weight matrix has on estimates of basic parameters of the linear logistic test model was studied. Results indicate that, because specifying elements of the weight matrix is a subjective process, it must be done with great care. (SLD)
Descriptors: Error Patterns, Estimation (Mathematics), Item Response Theory, Matrices