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Multiple regression : testing and interpreting interactions

Author: Leona S Aiken; Stephen G West; Raymond R Reno
Publisher: Newbury Park, Calif. : Sage Publications, ©1991.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"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  Read more...
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Genre/Form: Einführung
Additional Physical Format: Online version:
Aiken, Leona S.
Multiple regression.
Newbury Park, Calif. : Sage Publications, ©1991
(OCoLC)622467436
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Leona S Aiken; Stephen G West; Raymond R Reno
ISBN: 0803936052 9780803936058 0761907122 9780761907121
OCLC Number: 23080434
Description: xi, 212 pages : illustrations ; 23 cm
Contents: Introduction --
Interactions between continuous predictors in multiple regression --
The effects of predictor scaling on coefficients of regression equations --
Testing and probing three-way interactions --
Structuring regression equations to reflect higher order relationships --
Model and effect testing with higher order terms --
Interactions between categorical and continuous variables coding categorical variables --
Reliability and statistical power --
Conclusion: Some contrasts between ANOVA and MR in practice.
Responsibility: Leona S. Aiken, Stephen G. West ; with contributions by Raymond R. Reno.
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Abstract:

Concerned with the common statistical problem of how to estimate, test and probe interactions in regression models. This text includes research results and may be of interest for anyone using  Read more...

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by huisze2005 (WorldCat user on 2006-03-08)

multiple regression

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"The book would serve very well as a reference for applied researchers and methodologiests. . . . In particular, this would be an excellent reference for anyone who encounters a multivariable Read more...

 
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