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Multiple Comparisons

Multiple Comparisons

November 1986 | 88 pages | SAGE Publications, Inc
Multiple Comparisons demonstrates the most important methods of investigating differences between levels of an independent variable within an experimental design. The authors review the analysis of variance and hypothesis testing and describe the dimensions on which multiple comparisons vary. A feature is the use made of a famous experiment by Solomon Asch on group conformity. The authors demonstrate the statistical power of each method against this one experimental question.
Multiple Comparisons
A Priori Comparisons
Post Hoc Comparisons
Pairwise Methods

Post Hoc Comparisons
The Scheff>e Test

Multiple Comparisons in Factorial Designs
Unequal Sample Sizes

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ISBN: 9780803920514

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