Hierarchical moderated regression (HMR) analysis may lead to interpretational problems in tests of moderator (interaction) hypotheses. An alternative, residual- centering approach is described and compared to traditional HMR analysis. Procedures for evaluating interaction hypotheses and general effect analysis procedures are described for path (causal) models containing interactions. Index terms: Confirmatory analysis, Effect analysis in path models, Goodness-of-fit tests, Hierarchical moderated regression, Mediators, Moderated regression, Multicollinearity, Path models, Residual centering
Standard causal mediation analysis decomposes the total effect into a direct effect and an indirect ...
This paper analyzes two methods for testing moderation effects in regression models that contain a c...
In a hierarchical or fixed-order regression analysis, the independent variables are entered into the...
Hierarchical moderated regression (HMR) analysis may lead to interpretational problems in tests of m...
Along with the development of scientific disciplines, namely social sciences, hypothesized relations...
© 2022 Elsevier Inc.It is common to assess moderation effects with moderated regression analysis. If...
Simple slopes, regions of significance, and confidence bands are commonly used to evaluate interact...
Many theories in management, psychology, and other disciplines rely on moderating variables: those w...
Simple slopes, regions of significance, and confidence bands are commonly used to evaluate interacti...
Two of the most important extensions of the basic regression model are moderated effects (due to int...
used to test for the presence of interactions. When an interaction term is composed of correlated va...
that stepwise moderated regression provides a test of interaction effects that protects the nominal ...
the business of theorizing about and testing simple bivari-ate cause and effect relationships, since...
Simple slopes, regions of significance, and confidence bands are commonly used to evaluate interacti...
Purpose – Indirect or mediated effects constitute a type of relationship between constructs that o...
Standard causal mediation analysis decomposes the total effect into a direct effect and an indirect ...
This paper analyzes two methods for testing moderation effects in regression models that contain a c...
In a hierarchical or fixed-order regression analysis, the independent variables are entered into the...
Hierarchical moderated regression (HMR) analysis may lead to interpretational problems in tests of m...
Along with the development of scientific disciplines, namely social sciences, hypothesized relations...
© 2022 Elsevier Inc.It is common to assess moderation effects with moderated regression analysis. If...
Simple slopes, regions of significance, and confidence bands are commonly used to evaluate interact...
Many theories in management, psychology, and other disciplines rely on moderating variables: those w...
Simple slopes, regions of significance, and confidence bands are commonly used to evaluate interacti...
Two of the most important extensions of the basic regression model are moderated effects (due to int...
used to test for the presence of interactions. When an interaction term is composed of correlated va...
that stepwise moderated regression provides a test of interaction effects that protects the nominal ...
the business of theorizing about and testing simple bivari-ate cause and effect relationships, since...
Simple slopes, regions of significance, and confidence bands are commonly used to evaluate interacti...
Purpose – Indirect or mediated effects constitute a type of relationship between constructs that o...
Standard causal mediation analysis decomposes the total effect into a direct effect and an indirect ...
This paper analyzes two methods for testing moderation effects in regression models that contain a c...
In a hierarchical or fixed-order regression analysis, the independent variables are entered into the...