Why a variable Cannot be a mediator and a moderator at the same time?
Hence, X cannot be considered as the independent variable in a mediation model and also as moderating the component path b at the same time. Thus, mediated moderation requires an interaction at the origin of the mediation chain. This interaction then unfolds its effect on the dependent variable via a mediator.
What is the independent variable also called?
Independent variables are also called “regressors,“ “controlled variable,” “manipulated variable,” “explanatory variable,” “exposure variable,” and/or “input variable.” Similarly, dependent variables are also called “response variable,” “regressand,” “measured variable,” “observed variable,” “responding variable,” “ …
How can we distinguish between mediator and moderator variable?
Mediator variable is the middle variable / “middleman” between an independent variable (IV) and a dependent variable (DV). Objective of the mediator variable is to explain the relationship between IV & DV e.g. IV is not directly influencing DV but rather IV is indirectly influencing DV through mediator variable.
How is a mediating variable related to the independent variable?
A mediating variable explains the relation between the independent (predictor) and the dependent (criterion) variable. It explains how or why there is a relation between two variables.
How is a moderating variable related to a dependent variable?
In those cases, a mediating variable or a moderating variable can provide a more illustrative account of how dependent (criterion) variables are related to independent (predictor) variables. A mediating variable explains the relation between the independent (predictor) and the dependent (criterion) variable.
How are mediators related to IV and DV?
So, mediators are the variables in between the effect of IV/DV (although not necessary completely) and moderators are influencing the relationship between the IV/DV – for example determining the strength the influence the IV has on de DV. In the theory you should be able to determine where your variable of interest is in your overall model.