Researchers in a variety of disciplines frequently encounter problems in which interactions are predicted between two or more continuous variables. However, the current literature regarding how to analyze, interpret, and present interactions in multiple regression has been confusing. In this comprehensive volume, Leona S. Aiken and Stephen G. West provide academicians and researchers with a clear set of prescriptions for estimating, testing, and probing interactions in regression models. Including the latest research in the area, such as Fuller's work on the corrected/constrained estimator, the book is appropriate for anyone who uses multiple regression to estimate models or for those enrolled in courses on multivariate statistics.
Weiterführende Informationen
Personen: Aiken, Leona S. West, Stephen G. Reno, Raymond R.
QH 234 A291-01
Aiken, Leona S.:
Multiple regression : testing and interpreting interactions / Leona S. Aiken, Stephen G. West with contributions by Raymond R. Reno. - 1. paperback print. - Newbury Park, Calif. [u.a.] : SAGE, 1996. - XI, 212 S. : Ill
ISBN 978-0-7619-0712-1
Mathematik. Statistik. Ökonometrie. Unternehmensforschung - Buch