Interaction Effects in Factorial Analysis of Variance
Book Details
Format
Paperback / Softback
Book Series
Quantitative Applications in the Social Sciences
ISBN-10
0761912215
ISBN-13
9780761912217
Publisher
SAGE Publications Inc
Imprint
SAGE Publications Inc
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Feb 5th, 1998
Print length
111 Pages
Weight
154 grams
Dimensions
14.30 x 21.60 x 0.60 cms
Product Classification:
Social research & statistics
Ksh 6,650.00
Manufactured on Demand
Delivery in 29 days
Delivery Location
Delivery fee: Select location
Delivery in 29 days
Secure
Quality
Fast
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.
Although factorial analysis is widely used in the social sciences, there is some confusion as to how to use the techniqueÆs most powerful featureùthe evaluation of interaction effects. Written to remedy this situation, author James Jaccard clearly describes the issues underlying the effective analysis of interaction in factorial designs. The book begins by describing different ways of characterizing interactions in ANOVA, elucidating both moderator conceptualizations of interactions as well as that of residualized means. After discussing interaction effects using traditional hypothesis testing approaches, he then covers alternative analytic frameworks that focus on effect size methodology and interval estimation. Jaccard summarizes criticisms of classical null hypothesis testing and offers practical guidelines for pursuing magnitude estimation and interval estimation approaches. In addition, Jaccard shows applications of all three approaches to the analysis of interactions using a complete numerical example; discusses strategies for effectively exploring interactions in higher order designs and designs with more than two levels per factor; highlights the central role of single degree of freedom contrasts and provides numerous illustrations for formulating such contrasts; considers simplified approaches to statistical power analysis; describes approaches to consider when statistical assumptions are not met; explicates the case of unequal sample sizes; considers the impact of measurement error; and demonstrates computer applications. Readers who have wanted a book that fully discusses different conceptualizations of interactions as well as one that provides practical guidelines for analyzing complex interactions will find this volume the one that they have been seeking.
Get Interaction Effects in Factorial Analysis of Variance by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by SAGE Publications Inc and it has pages.