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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| Other Authors: | , , , , |
| Format: | eBook |
| Language: | English |
| Published: |
London :
SAGE Publications Ltd.,
2020.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| 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. |
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| Physical Description: | 1 online resource : illustrations |
| ISBN: | 9781529748796 1529748798 9781526421036 1526421038 |