Interaction Effects in Factorial Analysis of Variance

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Interaction Effects in Factorial Analysis of Variance

James Jaccard - New York University, USA

Volume: 118

Series:
Quantitative Applications in the Social Sciences

Other Titles in:
Quantitative/Statistical Research (General)

February 1998 | 111 pages | SAGE Publications, Inc

Description
Contents

Although factorial analysis is widely used in the social sciences, there is some confusion as to how to use the technique's most powerful feature - the evaluation of interaction effects. Written to remedy this situation, this book explores the issues underlying the effective analysis of interaction in factorial designs. It includes discussion of: different ways of characterizing interactions in ANOVA; interaction effects using traditional hypothesis testing approaches; and alternative analytic frameworks that focus on effect size methodology and interval estimation.

Introduction

Magnitude Estimation and Interval Estimation Approaches

A Complete Numerical Example

Designs with More Than Two Levels and Higher Order Designs

Additional Considerations

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