In a repeated-measures ANOVA, the within-participant variability is divided into two components. What are they?
Total variability and random variability
Variability between conditions and random variability
Variability between participants and random variability
Variability between conditions and total variability
Which of the following is an important advantage of a repeated-measures ANOVA design?
A different sample of participants serves in each condition, making it possible to compare different populations
Individual differences do not contribute to unsystematic variance
A large number of participants is generally required, which provides a better glimpse of the population
All of the above
A researcher reports an ANOVA as F (2, 40) = 5.18, p = .01. How many treatment conditions were compared in this experiment?
4
41
2
3
How many participants were there in the experiment reported in question 3?
21
44
63
Sphericity is an assumption in a repeated measures ANOVA. How is sphericity calculated?
By looking at the difference between the first and the last condition
By looking at the size of the differences between conditions
By looking at variability in difference scores between conditions
By looking at the variability within each condition
Which of the following statements about the assumption of sphericity is NOT true?
It is the repeated measures equivalent of homogeneity of variances
It is tested using Levene's test in SPSS
It is automatically met when an independent variable has only two levels
It is tested using Mauchley's test in SPSS
If the assumption of sphericity is broken, which correction is available in SPSS?
Levene
Mauchly
Kolmogorov-Smirnov
Greenhouse-Geisser
The larger the F statistic in a repeated-measures ANOVA, the larger the _____________ compared to the _________
Variation between conditions; random variation
Variation within individuals; variation between individuals
Variation between individuals; variation within individuals
Random variation; variation between conditions
