## How do you explain the moderation effect?

The effect of a moderating variable is characterized statistically as an interaction; that is, a categorical (e.g., sex, race, class) or quantitative (e.g., level of reward) variable that affects the direction and/or strength of the relation between dependent and independent variables.

**How do you analyze a moderating variable?**

To test a bariable as moderator you only need to employ regression. Create an interaction variable by multiplying your IV with the moderator variable. Then run the multiple regression with IV, Moderator, and Interaction in the model. Test the moderation effect by testing the regression coefficient of Interaction.

**What is moderator in meta analysis?**

Meta-analysis Overview. Testing for moderators. A moderator is a third variable that conditions the relations between 2 others. Because effect sizes are the relations between 2 variables, any variable that predicts the effect sizes is a moderator.

### How do you do a correlation analysis in SPSS?

To run a bivariate Pearson Correlation in SPSS, click Analyze > Correlate > Bivariate. The Bivariate Correlations window opens, where you will specify the variables to be used in the analysis. All of the variables in your dataset appear in the list on the left side.

**How do you read positive moderation?**

If c is positive, then it indicates that the effect of X on Y increases as M goes from 0 to 1. If c is negative, then it indicates that the effect of X on Y decreases as M goes from 0 to 1. Obviously the interpretation of moderator depends very much on how X and M are coded.

**What statistical test to use in SPSS?**

A chi-square test is used when you want to see if there is a relationship between two categorical variables. In SPSS, the chisq option is used on the statistics subcommand of the crosstabs command to obtain the test statistic and its associated p-value.

#### How to test for moderation?

Steps for moderation analysis Compute the interaction term XZ=X*Z. Fit a multiple regression model with X, Z, and XZ as predictors. Test whether the regression coefficient for XZ is significant or not. Interpret the moderation effect. Display the moderation effect graphically.

**What is a moderating variable?**

Moderating variables can have the following effects: Strengthen the relationship between two variables. Weaken the relationship between two variables. Negate the relationship between two variables.