- By: | Edited by: Paul Atkinson, Sara Delamont, Alexandru Cernat, Joseph W. Sakshaug & Richard A.Williams
- Publisher: SAGE Publications Ltd
- Publication year: 2020
- Online pub date:
- Discipline: Anthropology, Business and Management, Communication and Media Studies, Computer Science, Counseling and Psychotherapy, Criminology and Criminal Justice, Economics, Education, Engineering, Geography, Health, History, Marketing, Mathematics, Medicine, Nursing, Political Science and International Relations, Psychology, Social Policy and Public Policy, Science, Social Work, Sociology, Technology
- Methods: Independent variables, Moderators, Dependent variables
- Length: 10k+ Words
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.