Publisher description for Interaction effects in multiple regression / James Jaccard, Robert Turrisi, Choi K. Wan.


Bibliographic record and links to related information available from the Library of Congress catalog


Information from electronic data provided by the publisher. May be incomplete or contain other coding.


Counter

''. . . The authors take an intuitive approach of explaining interactions in selected applications from psychology and sociology to make reading and understanding the material easy. . . . The book contains 90 references and is a good introduction to studying interactions. . . . the recommendations are useful guidelines to practitioners who use multiple regression extensively. The authors are certainly successful in meeting their goal, which is to present a readable and practical introduction; to interactions for social science researchers with a working knowledge of multiple regression and structural equation modeling."
--Journal of Management Research
For the social science researcher wishing to know more about interaction effects in multiple regression, this book is a must. It offers a practical, readable guide for analyzing interaction effects in the context of multiple regression and structural equation analyses. Moreover, an examination of the central issues involved in conducting analyses of moderated relationships involving continuous variables is included.


Library of Congress subject headings for this publication:
Regression analysis.
Social sciences -- Statistical methods.