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Moderation, mediation and more regression
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Moderation, mediation and more regression
What is moderation?
- When the relationship between two variables changes as a function of the third variable
- The model: a regression in which the outcome is predicted from the predictor, the moderator and their interaction
- Centre the predictors
- If the interaction is significant there is a moderation
- Simple slopes: look at the relationship between the predictor and outcome at low, mean and high levels of the moderator
- The model: a regression in which the outcome is predicted from the predictor, the moderator and their interaction
- When the relationship between two variables changes as a function of the third variable
How do i include categorical predictors into my model?
- Dummy coding: categorical variables with more than two categories are coded into variables all of which have values of only 0 or 1
What is mediation?
- The strength of the relationship between a predictor variable and outcome variable is reduced by including another variable as a predictor
- Direct effect: the effect of the predictor independent of the mediator
- Indirect effect: the effect of the predictor through the mediator
- Effect size: kappa-squared
- Bootstrap 95% CIs
- The strength of the relationship between a predictor variable and outcome variable is reduced by including another variable as a predictor
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- Mind Map on Moderation, mediation and more regression, created by l.f.e.hodgson on 31/10/2015.
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- l.f.e.hodgson
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