Understanding Repeated Measures ANOVA

What is the primary purpose of repeated measures ANOVA?

• To compare means of three or more independent samples

• To test for differences among three or more dependent samples

• To analyze variance in a single sample

• To compare two independent groups

In the context of repeated measures ANOVA, what are dependent samples?

• Samples that are independent

• Samples that are measured once

• Samples that are measured at different times

• Samples that are unrelated

What is the independent variable in the example of therapy's effect on pain perception?

• Patient's age

• Time or therapy progression

• Therapy type

• Pain perception

What is the null hypothesis in repeated measures ANOVA?

• The samples are independent

• There are no significant differences between the dependent groups

• There is a significant difference between the dependent groups

• The independent variable has no effect

Which of the following is an assumption of repeated measures ANOVA?

• The samples must be independent

• The data should be normally distributed

• The variance in each group should be different

• The data should be categorical

What is the first assumption for conducting repeated measures ANOVA?

• The samples must be dependent

• The samples must be independent

• The data must be categorical

• The variance must be unequal

How can you calculate repeated measures ANOVA online?

• By using a statistics calculator on datadeb.net

• By using a word processor

• By manually calculating the variance

• By using a spreadsheet

What additional test is calculated after the repeated measures ANOVA?

• Tukey's HSD test

• Bonferroni posthoc test

• Chi-square test

• Fisher's exact test

What should you do if you don't know how to interpret the ANOVA results?

• Ignore the results

• Recalculate the ANOVA

• Consult a statistician

• Read the interpretation of the results in words

What is shown in addition to the p-value in the ANOVA results?

• A line graph

• A box plot

• A pie chart

• A histogram