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.
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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.
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Add this copy of Multiple Comparisons (Quantitative Applications in the to cart. $3.74, very good condition, Sold by Basement Seller 101 rated 5.0 out of 5 stars, ships from Cincinnati, OH, UNITED STATES, published 1986 by SAGE Publications, Inc.
Add this copy of Multiple Comparisons (Quantitative Applications in the to cart. $29.16, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 1986 by SAGE Publications, Inc.