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Lathrop, Richard G.; Williams, Janice E. – Educational and Psychological Measurement, 1989
A Monte Carlo study determined the Inverse Scree Test's shape with various numbers of true groups and under different conditions of distribution shape and sample size. Six simulated distributions of 3,000 subjects each and 1 with 1,500 were created. Findings suggest relative distribution independence, number independence, and modest…
Descriptors: Cluster Analysis, Computer Simulation, Factor Analysis, Graphs
Wang, Yuh-Yin Wu; Schafer, William D. – 1993
This Monte-Carlo study compared modified Newton (NW), expectation-maximization algorithm (EM), and minimum Cramer-von Mises distance (MD), used to estimate parameters of univariate mixtures of two components. Data sets were fixed at size 160 and manipulated by mean separation, variance ratio, component proportion, and non-normality. Results…
Descriptors: Comparative Analysis, Computer Simulation, Equations (Mathematics), Estimation (Mathematics)
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Trochim, William M. K.; And Others – Evaluation Review, 1991
The regression-discontinuity design involving a treatment interaction effect (TIE), pretest-posttest functional form specification, and choice of point-of-estimation of the TIE are examined. Formulas for controlling the magnitude of TIE in simulations can be used for simulating the randomized experimental case where estimation is not at the…
Descriptors: Computer Simulation, Control Groups, Equations (Mathematics), Error of Measurement
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Donoghue, John R.; Allen, Nancy L. – Journal of Educational Statistics, 1993
Forming the matching variable for the Mantel-Haenszel differential item functioning (DIF) procedure through use of the total score as the matching variable (thin) and forming the matching variable by pooling total score levels (thick) were compared in a Monte Carlo study. Reasons thick matching is superior are discussed. (SLD)
Descriptors: Comparative Analysis, Computer Simulation, Equations (Mathematics), Graphs
Peer reviewed Peer reviewed
Cappelleri, Joseph C.; And Others – Evaluation Review, 1991
A conceptual approach and a set of computer simulations are presented to demonstrate that random measurement error in the pretest does not bias the estimate of the treatment effect in the regression-discontinuity design. Focus is on the case of no interaction between pretest and treatment on posttest. (SLD)
Descriptors: Analysis of Covariance, Computer Simulation, Equations (Mathematics), Error of Measurement
Du Bose, Pansy; Kromrey, Jeffrey D. – 1993
Empirical evidence is presented of the relative efficiency of two potential linkage plans to be used when equivalent test forms are being administered. Equating is a process by which scores on one form of a test are converted to scores on another form of the same test. A Monte Carlo study was conducted to examine equating stability and statistical…
Descriptors: Art Education, Comparative Testing, Computer Simulation, Equated Scores