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An example of how to write a hypothesis with a mediating variable would be: The education of a child's mother is a mediator that connects the independent variable of socioeconomic status (which can vary in the experiment due to the experiment's design) and the dependent variable of the child's performance in school.
A mediator variable (M) is a third variable that explains how or why two other variables (i.e., X and Y) are related. In a mediation model, the independent variable (X) predicts the mediator variable (M) which in turn predicts the outcome (Y). Thus, a mediator is intermediate in the relation between X and Y.
You can think of a mediator as a go-between for two variables. For example, sleep quality (an independent variable) can affect academic achievement (a dependent variable) through the mediator of alertness.
- Moderation refers to a change in the relationship between an independent variable and a dependent variable, depending on the level of a third variable, termed the moderator variable. Moderating effects are also referred to as interaction and conditioning effects.
For example, if you were researching the effects of age on job satisfaction, then education level could be considered a mediating variable, as it may explain why older people have higher job satisfaction than younger people ? they may have more experience or better qualifications, which lead to greater job satisfaction ...