Mediators, Moderators, and Covariates

Mediation analysis tests a hypothetical causal chain where one variable X affects a second variable M and, in turn, that variable affects a third variable Y.

由 CM Judd 著作 · 2001 · 被引用 1151 次 — Analyses designed to detect mediation and moderation of treatment effects are increasingly prevalent in research in psychology. The mediation question ...

2023年4月18日 — A mediator variable explains the relationship between two other variables. A moderator variable affects the direction or strength of the ...

2021年3月1日 — A mediator explains how or why two variables are related. A moderator affects the strength or direction of the relationship.

2022年11月10日 — A mediator (mediating variable) explains the process in which two variables relate. In contrast, a moderator (moderating variable) affects the ...

由 EL Morrow 著作 · 2022 · 被引用 13 次 — The dual goals of this tutorial are (a) to increase awareness and use of mediation and moderation models in cognitive-communication rehabilitation research.

In statistics, moderation and mediation can occur together in the same model. Moderated mediation, also known as conditional indirect effects, occurs when ...

Mediation sheds light on the causal mechanisms at play, whereas moderation reveals the contexts in which these relationships are strengthened or weakened. In summary, mediation and moderation analyses are key statistical methods used for causal inference,

Moderation is a way to check whether that third variable influences the strength or direction of the relationship between an independent and dependent variable.