Multiple Comparisons
- Alan J. Klockars
- Gilbert Sax - University of Washington, Seattle, USA
Volume:
61
Other Titles in:
Quantitative/Statistical Research
Quantitative/Statistical Research
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
Post Hoc Comparisons
Multiple Comparisons in Factorial Designs
Unequal Sample Sizes