MASH : Maths and Stats Help

Two-Way Mixed ANOVA

Introduction

A Two-Way Mixed ANOVA compares the difference between multiple sets of data comprising between-subjects and repeated-measures variables.

It is considered a parametric test and is only suitable for parametric data. To check if your data is parametric, please check out the dedicated guide: Parametric or Not Guide (PDF)

This is one of the most advanced statistical tests that students may need to conduct for their analysis. 

Test Procedure

1. Click Analyze > General Linear Model > Repeated Measures

   

2. Within the "Repeated-Measures Define Factors" Window, create a name for your repeated-measures factor and specify the number of levels, in my example I have two levels. Click Add. Click Define.

   

3. Within the "Repeated Measures" Window, select the dependent variables you are analysing and move them into the "Within-Subjects Variables" box. Then select the grouping variable and move it into the "Between-Subjects Factors" box.

   

4. Click "Pst Hoc". Within the "Repeated Measures: Post Hoc Multiple Comparisons for Observed Means" window select your between-subjects factor and move it to the "PostHoc Tests for" window. Select "Bonferroni", click "Continue"

   

5. Click "Options". Within the "Repeated Measures: Options" window select "Descriptive Statistics" and "Estimates of effect size".

   

6. Select Continue à OK

Results

SPSS will generate a very large number of tables, to correctly report this test we need to select the correct pieces of information from each table. This can be very challenging.