Interaction effects /

Interaction effects refer to the case where the effect of one variable on another depends on the value of a third variable. In this entry, interaction modeling as focused on analysis of variance and multiple regression is introduced using traditional linear models. Interactions are conceptualized us...

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Bibliographic Details
Main Author: Jaccard, James (Author)
Other Authors: Atkinson, Paul, 1947- (Editor), Delamont, Sara, 1947- (Editor), Cernat, Alexandru (Editor), Sakshaug, Joseph W. (Editor), Williams, Richard A., active 2020 (Editor)
Format: eBook
Language:English
Published: London : SAGE Publications Ltd., 2020.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:Interaction effects refer to the case where the effect of one variable on another depends on the value of a third variable. In this entry, interaction modeling as focused on analysis of variance and multiple regression is introduced using traditional linear models. Interactions are conceptualized using a moderator framework in which the effect of an independent variable or predictor on a dependent or outcome variable is said to vary as a function of a moderator variable. Both two-way and three-way interactions are discussed. Examples are given for the case of all nominal predictors, a mixture of nominal and continuous predictors, and all continuous predictors.
Physical Description:1 online resource : illustrations
ISBN:9781529748796
1529748798
9781526421036
1526421038