SPSS ANOVA Tutorials – Overview
ANOVA (short for “Analysis of Variance”) is a family of statistical tests for testing if 3 or more means are (all) equal.
The most common scenario tests if 3(+) groups of cases have similar mean scores on a single variable. This test is known as a one-way ANOVA.
Another basic scenario is testing whether 1 group of cases have similar means on 3(+) variables. This is known as a repeated measures ANOVA.
Last, we can compare means for multiple factors (defining either groups of cases or variables) simultaneously. We now speak of a factorial ANOVA. The simplest factorial ANOVA is a two way ANOVA which examines how two factors affect one outcome variable.
SPSS ANOVA Tutorials
ANOVA - short for Analysis of Variance - tests whether 3 or more means of a metric variable are different. This tutorial explains ANOVA in normal language. Read More
SPSS One-Way ANOVA tests whether the means on a metric variable for three or more groups of cases are all equal. The groups of cases are identified by a categorical variable. Read More
A common post hoc test in SPSS ANOVA is Tukey’s HSD procedure. It basically compares all mean scores to all other mean scores. This tutorial guides you through the entire analysis. Read More
Run your SPSS two way ANOVA the right way in 5 simple steps. With downloadable data file, enhanced screenshots and annotated output. Read More
Repeated Measures ANOVA Tutorials
SPSS Repeated measures ANOVA is a procedure for testing whether the means of 3 or more metric variables are equal. These variables have been measured on the same cases. Read More
SPSS repeated measures ANOVA in 5 simple steps with downloadable practice data file. Analysis with within and between subjects factors and post hoc tests. Read More