Mixed Model ANOVA Quiz

What is a mixed model ANOVA used for?

• Analyzing data with only between-subjects factors

• Analyzing data with only within-subjects factors

• Analyzing data with no subject factors

• Analyzing data with both between-subjects and within-subjects factors

In a mixed model ANOVA, what is a between-subjects factor?

• A factor that does not affect the dependent variable

• A factor where different subjects are exposed to different levels

• A factor where the same subjects are exposed to all levels

• A factor that is not included in the analysis

What is the purpose of a repeated measures ANOVA?

• To test differences between groups at a single time point

• To test differences within the same group over multiple time points

• To test differences in unrelated samples

• To test differences between unrelated variables

Which of the following is NOT an assumption of mixed model ANOVA?

• Non-independence of observations

• Sphericity

• Homogeneity of variances

• Normality

What does the sphericity assumption imply?

• Variances of differences between all combinations of groups are equal

• All groups have the same mean

• All groups have the same sample size

• All groups have the same standard deviation

What does a significant p-value indicate in the context of ANOVA?

• There is no difference between groups

• There is a significant difference between groups

• The data is not normally distributed

• The variances are not equal

What is an interaction effect in mixed model ANOVA?

• When the effect of one factor depends on the level of another factor

• When all factors have the same effect

• When one factor affects the dependent variable independently

• When two factors have no effect on each other

In the practical example, what is the between-subjects factor?

• Sample size

• Time points

• Therapy type

• Cholesterol levels

How can you test for homogeneity of variances in mixed model ANOVA?

• Using Levene's test

• Using a chi-square test

• Using a correlation test

• Using a t-test

What should you do if the sphericity assumption is violated?

• Change the dependent variable

• Increase the sample size

• Use adjustments like Greenhouse-Geisser

• Ignore the results