Moderated mediation in SPSS using Hayes' Process Macro (Model 7)

Introduction

This tutorial provides a comprehensive guide on how to perform moderated mediation analysis using Hayes' Process Macro (Model 7) in SPSS. Moderated mediation is a complex statistical technique that allows researchers to assess how a mediator variable influences the relationship between an independent variable and a dependent variable, while also examining how this effect may change at different levels of a moderator variable. Familiarity with mediation and moderated regression is assumed, so it is advisable to review those concepts if you're new to them.

Step 1: Download Necessary Resources

Before you begin the analysis, download the dataset and the PowerPoint presentation referenced in the video.

1. Download the dataset from the following link:
   Dataset Link

2. Download the PowerPoint presentation here:
   PowerPoint Link

Step 2: Install Hayes' Process Macro

Ensure that you have Hayes' Process Macro installed in SPSS. If you haven’t done this yet, follow these steps:

1. Go to the Process Macro website:
   Process Macro

2. Download the Process Macro for SPSS.

3. Open SPSS and load the macro:

   • Click on Utilities in the menu.
   • Select Run Script and find the downloaded Process macro file.

Step 3: Prepare Your Data

Make sure your data is organized correctly for analysis.

1. Open the dataset in SPSS.
2. Check for any missing values or outliers that may affect your analysis.
3. Ensure that your independent variable, dependent variable, mediator, and moderator are properly coded.

Step 4: Conduct the Analysis Using Process Model 7

Now you can run the moderated mediation analysis.

1. Click on Analyze in the SPSS menu.

2. Choose Regression and then select Process.

3. Set up the analysis parameters:

   • Specify your independent variable (X).
   • Specify your dependent variable (Y).
   • Specify your mediator (M).
   • Specify your moderator (W).
   • Select Model 7 from the Model drop-down menu.

4. Configure any additional options, such as bootstrapping for confidence intervals.

5. Click OK to run the analysis.

Step 5: Interpret the Output

After running the analysis, you will need to interpret the results.

1. Look for the following key outputs:

   • Coefficients for the paths in your model (X -> M, M -> Y, X -> Y).
   • Interaction term significance to assess moderated mediation.
   • Bootstrapped confidence intervals for the mediation effect.

2. Pay attention to the significance levels and confidence intervals:

   • A significant interaction indicates moderation.
   • Confidence intervals that do not include zero suggest significant mediation.

Conclusion

You've now completed a moderated mediation analysis using Hayes' Process Macro in SPSS. This technique allows you to explore the nuanced relationships between variables, which can provide deeper insights into your research questions.

Next Steps

• Review your findings in the context of your research question.
• Consider further analyses or follow-up studies if needed.
• Explore additional resources on mediation and moderation to enhance your understanding.