Can you use categorical variables when testing mediation?

Can you use categorical variables when testing mediation?

All Answers (9) Mediator be continuous, but if categorical data=nominal level, then it should not be more than 2 groups. Otherwise, dummy coding should be done. If the mediator is categorical, you must create dummy variable (Hair et al.

What is a parallel mediation analysis?

In parallel mediation, two or more variables (M1. , M2. , etc.) are proposed to mediate the relationship between X and. Y (see Figure 2).

Can a mediator be a dependent variable?

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.

Can a categorical variable be a moderator?

Categorical variables are considered to be a good moderator and the effect of categorical variables as a moderator can be measured reliably (Hair et al., 2010, pages 85 through 86). Categorization of continuous variables also makes the analysis and interpretation of results simple.

How do you test for moderated mediation?

In order to test for moderated mediation, some recommend examining a series of models, sometimes called a piecemeal approach, and looking at the overall pattern of results. This approach is similar to the Baron and Kenny method for testing mediation by analyzing a series of three regressions.

What is confounding given an example of your own?

A confounding variable is an “extra” variable that you didn’t account for. They can ruin an experiment and give you useless results. For example, if you are researching whether lack of exercise leads to weight gain, then lack of exercise is your independent variable and weight gain is your dependent variable.

Is a mediating variable An independent variable?

In communication research, a mediating variable is a variable that links the independent and the dependent variables, and whose existence explains the relationship between the other two variables. A mediating variable is also known as a mediator variable or an intervening variable.

When is the mediator or dependent variable categorical?

Researchers are facile at testing for mediation when all the variables are continuous, but a definitive answer had been lacking heretofore as to how to analyze the data when the mediator or dependent variable is categorical. This paper describes the problems that arise as well as the potential solutions.

How to do a mediation analysis with 2 variables?

I want to do a mediation analysis, with the following variables: Following MacKinnon, Lockwood, Hoffman, West, & Sheets (2002), I need to perform 2 analysis: Regression analysis with X as independent and Y as dependent variable. Regression analysis with X and Y as independent variables and M as dependent variable.

How to do mediation analysis with a categorical IV in nlcom?

For example, the coefficient for math on the first dummy variable for ses is [math]_b [2.ses] and the coefficient for science on math is [science]_b [math]. Thus, the product is [math]_b [2.ses]* [science]_b [math]. To get the total indirect effect we just add the two product terms together in the nlcom command.

Can a SPSS be used as a categorical mediator?

The bad news is that they cannot be used with categorical mediators. I haven’t found any option to do that in SPSS. I still do not now if it can be done in R or Stata.