Power Tables for Analysis of Variance
Bibliographic Data
| ID | 20282931 |
|---|---|
| Authors | James Rotton (University of Dayton), Peter H Schonemann (Purdue University) |
| Year | 1978 |
| Volume | 38 |
| Issue | 2 |
| Pages | 213-229 |
| Publication date | 1978-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational and Psychological Measurement (JOURNAL) |
| Journal identifiers | ISSN: 0013-1644 • E-ISSN: 1552-3888 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/001316447803800202 |
| OpenAlex | W1993730590 |
| Language | EN |
| Citations received | 5 |
| References cited | 5 |
In numerous applications of the analysis of variance it is necessary to compute the power of F tests having numerically high alpha (significance) levels. This article tabulates the power of F tests for numerator degrees of freedom, df = 1, 2, 3, 6, 9, 12; denominator df = 3, 6, 9, 12, 15, 20, 40, 60, 120; alternative hypotheses, phi = 2.(.2)3.0; and significance levels, alpha = .05, .10(.10),.50. The use of these tables is illustrated with a brief numerical example
Algorithm · Analysis of variance · One-way analysis of variance · Physics · Power (physics) · Power analysis · Statistical analysis · Statistics · Variance (accounting) · Applied Mathematics · Mathematics · Scientific Measurement and Uncertainty Evaluation
Calculating power in analysis of variance
Violence is a curvilinear function of temperature in Dallas
Air pollution, weather, and violent crimes
Geophysical Variables and Behavior
Modeling the Observation-to-Variable Ratio Necessary for Determining the Number of Factors by the Standard Error Scree Procedure Using Logistic Regression
| Citations per year | 0.11 |
|---|---|
| Citation span | 1982 - 2001 (20) |
| Highly cited | No |