A researcher reports an F-ratio with df= 2, 12 for a repeated measures of ANOVA.


How many treatment conditions were compared in the study?

One advantage of the repeated measures ANOVA is that it eliminates "individual differences" as a source of variability. Explain why there are no individual differences in the numerator and in the denominator of the F ratio.

To determine how many treatment conditions were compared in the study based on the reported F-ratio and degrees of freedom (df), we need to understand how the F-ratio is calculated in a repeated measures ANOVA.

In a repeated measures ANOVA, the F-ratio is calculated by dividing the between-group variance by the within-group variance. The numerator degrees of freedom (df₁) represents the degrees of freedom associated with the between-group variance, while the denominator degrees of freedom (df₂) represents the degrees of freedom associated with the within-group variance.

In this case, the researcher reported an F-ratio with df= 2, 12. The df₁ value of 2 suggests that there were two groups or treatment conditions being compared in the study. However, it's important to note that in a repeated measures ANOVA, the number of groups or treatment conditions might not always be equal to the df₁ value.

Therefore, based on the information provided, we can conclude that there were two treatment conditions compared in the study.