Abstract
(from the preface) This book provides clear prescriptions for the probing and interpretation of continuous variable interactions that are the analogs of existing prescriptions for categorical variable interactions. We provide prescriptions for probing and interpreting two- and three-way continuous variable interactions, including those involving nonlinear components. The interaction of continuous and categorical variables, the hallmark of analysis of covariance and related procedures, is treated as a special case of our general prescriptions. The issue of power of tests for continuous variable interactions, and the impact of measurement error on power are also addressed. Simple approaches for operationalizing the prescriptions for post hoc tests of interactions with standard statistical computer packages are provided. The text is designed for researchers and graduate students who are familiar with multiple regression analysis involving simple linear relationships of a set of continuous predictors to a criterion. Hence the material is accessible to typical lower level graduate students in the social sciences, education, and business. The text can usefully serve as a supplement to introductory graduate level statistics courses. (PsycINFO Database Record (c) 2010 APA, all rights reserved)
Cite
CITATION STYLE
Bender, R., Ziegler, A., & Lange, S. (2002). Multiple Regression - - Artikel Nr. 13 der Statistik-Serie in der DMW - -. DMW - Deutsche Medizinische Wochenschrift, 127(Suppl. Statistik), T 8-T 10. https://doi.org/10.1055/s-2002-32817
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.