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| Monte Carlo Methods | 3 |
| Sampling | 3 |
| Analysis of Variance | 2 |
| Computer Simulation | 2 |
| Correlation | 1 |
| Equations (Mathematics) | 1 |
| Minicomputers | 1 |
| Multivariate Analysis | 1 |
| Reliability | 1 |
| Research Design | 1 |
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| Journal of Educational… | 3 |
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Peer reviewedReddon, John R. – Journal of Educational Statistics, 1987
Computer sampling from a multivariate normal spherical population was used to evaluate Type I error rates for a test of P = I based on Fisher's tanh(sup minus 1) variance stabilizing transformation of the correlation coefficient. (Author/TJH)
Descriptors: Computer Simulation, Correlation, Monte Carlo Methods, Multivariate Analysis
Peer reviewedSmith, Philip L. – Journal of Educational Statistics, 1978
The paper describes the small sample stability of least square estimates of variance components within the context of generalizability theory. Monte Carlo methods are used to generate data conforming to some selected multifacet generalizability designs to illustrate the sampling behavior of variance component estimates. (Author/CTM)
Descriptors: Analysis of Variance, Minicomputers, Monte Carlo Methods, Reliability
Peer reviewedAlexander, Ralph A.; Govern, Diane M. – Journal of Educational Statistics, 1994
A new approximation is proposed for testing the equality of "k" independent means in the face of heterogeneity of variance. Monte Carlo simulations show that the new procedure has nearly nominal Type I error rates and Type II error rates that are close to those produced by James's second-order approximation. (SLD)
Descriptors: Analysis of Variance, Computer Simulation, Equations (Mathematics), Monte Carlo Methods
