Explain the sources of variability in one-way between-subjects
ANOVA (i.e., independent-measures ANOVA) and one-way
within-subjects ANOVA (i.e., repeated-measures ANOVA)?
What assumptions are associated with a repeated measures
ANOVA?
Explain how variance is partitioned in a repeated measures
ANOVA. Make sure to highlight the final three sources of variation
in a repeated measures ANOVA..
What is a effect size that measures the proportion of variance
for a one-way between-subjects ANOVA? Which one overestimates the
size of an effect in a population?
A repeated measures ANOVA is statistically more powerful than a
randomized ANOVA. One reason is that the same subjects are used
(like a paired t test). Why else? The within source of variance in
a randomized ANOVA becomes ___subject______ and __error________in a
repeated measures ANOVA. Only the __error_____ is used to calculate
the F ratio. Because the denominator is smaller, the F ratio will
be ___?____ and more likely to ______?_________ .
Hints: error, fail to reject the null hypothesis,...
a) Why are repeated measures designs more powerful than between
subjects designs? Mention the error term.
b) If you were to compute a repeated measures ANOVA as a between
subjects ANOVA how would the results differ?
What are two advantages to a repeated measures design? The
repeated measures t test is most like which other t test that we
have learned: single sample or independent samples t test? Why?
What is the difference between t-tests and ANOVA versus
regression (one big difference)? Explain it as if you were teaching
someone.
How many groups are you allowed to have in an independent
samples t-test? How many groups are you allowed to have in an
one-way ANOVA?
What are some of the advantages of Multiple Regression?
How is regression with a single variable the same and different
from a correlation?