Understanding statistical power using noncentral probability distributions: Chi-squared, G-squared, and ANOVA
This paper presents a graphical way of interpreting effect sizes when more than two groups are involved in a statistical analysis. This method uses noncentral distributions to specify the alternative hypothesis, and the statistical power can thus be directly computed. This principle is illustrated u...
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| Format: | Article |
| Language: | English |
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Université d'Ottawa
2007-09-01
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| Series: | Tutorials in Quantitative Methods for Psychology |
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| Online Access: | http://www.tqmp.org/Content/vol03-2/p063/p063.pdf |