Open AccessEfeitos moderadores duplos e triplos e plots em análise de regressão
Author(s) -
Valter da Silva,
Valter Afonso Vieira
Publication year - 2019
Publication title -
revista de administração da ufsm
Language(s) - English
Resource type - Journals
ISSN - 1983-4659
DOI - 10.5902/1983465916968
Subject(s) - moderation , analysis of covariance , interaction , psychology , statistics , regression analysis , econometrics , main effect , variables , linear regression , multivariate analysis of variance , mathematics , social psychology
Distinguished international published papers examine mediator, moderator, moderator-mediator, mediator-moderator variables and indirect effects over the causal relationship in social sciences. Among the possible different ways of data interpretation, understand the moderating effect using linear regression analysis is an alternative. The main objective of this article is to discuss and to clarify theconcept of moderation, when using the multiple regression analysis instead of the traditional general linear models – GLM (e.g., MANOVA, ANCOVA, ANOVA, ANCOVA). The second goal is to apply three estimates: (a) two-way moderating effect with independent continuous variables, (b) two-way moderating effect with a continuous and a dummy variable as independent variables and (c) three-waymoderating effect with independent continuous variables, all using regression analysis. Third, the paper discusses the ordinal moderation and cross-over effects.The results showed that three-way interactions demand group analysis and were not used.