In a between groups ANOVA, how many dependent variables are analyzed?

In a between groups ANOVA, the analysis specifically focuses on one dependent variable at a time. The purpose of this statistical test is to compare the means of one dependent variable across different groups or levels of an independent variable. By analyzing a single dependent variable, the researcher can determine if there are statistically significant differences in the means of this variable among the groups being compared.

While it is possible to conduct separate ANOVAs for different dependent variables, each ANOVA test is singular in focus. This ensures that the assumptions and interpretations of the model are appropriate for the data being analyzed. Hence, stating that only one dependent variable is analyzed in a between groups ANOVA is accurate and aligns with the function of this test in statistical analysis.