One Way Anova Screenshots Tutorial
One Way ANOVA can be run under the General Linear Model. However, the simplest way to run the analysis is through Analyze -- Compare Means -- One-Way ANOVA.
Your Dependent list is the box for the dependent (outcome) variable in your analysis. The Factor box is for your independent (grouping) variable in your analysis.
Click on your outcome (dependent) variable and then click on the arrow to move it into the proper box. Next, click on your grouping (independent) variable and then click on the arrow to move it into the proper box.
Click Post Hoc.
Please consult a reputable article or text in your field to assist you in choosing the appropriate Post Hoc Multiple Comparison. For the purposes of this tutorial, the Games-Howell was chosen.
Choose the Significance level at which you will test your Post Hoc. 0.05 is the default in SPSS. Click Continue.
Click Options.
Choose additional Statistics (in this example we will run a Homogeneity of variance test). You can also choose to display the Means plot and have two options (within the analysis) for dealing with Missing Values. Casewise exclusion of missing values is the default in SPSS.
Click Continue.
Click O.K. to run the analysis.
Sample Output:
Sample Output. For annotated output see the UCLA page.
SPSS One-Way ANOVA Script
DATASET ACTIVATE DataSet1.
ONEWAY salary BY jobcat
/STATISTICS HOMOGENEITY
/MISSING ANALYSIS
/POSTHOC=GH ALPHA(0.05).
