Beyond Interaction: Theories

Beyond Interaction: Theories An interaction between two factors in their effects on a dependent variable is here modelled as (first) summation of quantities derived from the two factors individually, and (second) a nonlinear relation between that sum and the dependent variable. There are only a few possible nonlinear functions that need to be considered. The dataset used as an example is a 3 × 3 table showing crossover interaction. The proposed explanation uses a quadratic curve (which has a descending limb and an ascending limb) to achieve reversal of the effect of one factor for some categories of the other factor. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Beyond Interaction: Theories

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 2006 by Springer
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-005-3960-6
Publisher site
See Article on Publisher Site

Abstract

An interaction between two factors in their effects on a dependent variable is here modelled as (first) summation of quantities derived from the two factors individually, and (second) a nonlinear relation between that sum and the dependent variable. There are only a few possible nonlinear functions that need to be considered. The dataset used as an example is a 3 × 3 table showing crossover interaction. The proposed explanation uses a quadratic curve (which has a descending limb and an ascending limb) to achieve reversal of the effect of one factor for some categories of the other factor.

Journal

Quality & QuantitySpringer Journals

Published: Oct 11, 2005

References

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