![run two way anova idunnett c n spss 25 run two way anova idunnett c n spss 25](https://www.spss-tutorials.com/img/two-way-anova-output-between-subjects.png)
![run two way anova idunnett c n spss 25 run two way anova idunnett c n spss 25](https://www.spss-tutorials.com/img/spss-two-way-anova-basics-histogram.png)
We've perhaps one outlier who scores only 15 but we'll leave it in the data.
![run two way anova idunnett c n spss 25 run two way anova idunnett c n spss 25](https://www.spss-tutorials.com/img/spss-two-way-anova-basics-menu-post-hoc.png)
frequencies bdi /format notable /histogram. *Inspect histogram, see if distribution for bdi scores looks plausible. The fastest way to create it is running the syntax below. Before analyzing any metric variable, I always first inspect its histogram. Quick Check: Histogram over Scoresīefore jumping blindly into statistical tests, let's first see if our BDI scores make any sense in the first place. In short we'll try to gain insight into 4 (medicines) x 2 (gender) = 8 mean BDI scores. Our main research question is:ĭid our different medicines result in different mean BDI scores?Ī secondary question is whether the BDI scores are related to gender in any way. After 4 weeks, participants filled out the BDI, short for Beck's depression inventory. Each group was given a different medicine. Very basically, 100 participants suffering from depression were divided into 4 groups of 25 each. The screenshot below shows it in variable view. After reading it, you'll know what to do and you'll understand why. We'll run the analysis by following a simple flowchart and we'll explain each step in simple language. SPSS Two-Way ANOVA with Interaction Tutorial By Ruben Geert van den Berg under ANOVAĭo you think running a two-way ANOVA with an interaction effect is challenging? Then this is the tutorial for you.