Descriptor
Source
Journal of Educational… | 4 |
Author
Alexander, Ralph A. | 1 |
Bell, John F. | 1 |
Games, Paul A. | 1 |
Govern, Diane M. | 1 |
Martin, Charles C. | 1 |
Smith, Philip L. | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 2 |
Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating

Martin, Charles C.; Games, Paul A. – Journal of Educational Statistics, 1977
Two potentially useful tests for homogeneity of variance--the jackknife test and the Box test--are described and compared. Recommendations for the use of these techniques and computational examples of each are provided. (Author/JKS)
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Sampling

Smith, 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

Alexander, 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

Bell, John F. – Journal of Educational Statistics, 1986
Khuri's and Satterthwaite's methods of obtaining confidence intervals of variance components are compared. The article discusses that Khuri's method may be applied to obtain confidence intervals for the variance components and other linear functions of the expected mean squares used in generalizability theory. (Author/JAZ)
Descriptors: Analysis of Variance, Elementary Education, Equations (Mathematics), Error of Measurement