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Within factors ANOVA - Coggle Diagram
Within factors ANOVA
mixed model analysis of variance
a within subjects factor
a between subjects factor
process
run group comparison at time 1
additionally, run comparisons across time
run same group comparison at time 2
normality assumptions
normality tested in each possible time point
normality tested in each group
normality comparison groups
tx at t1
tx at T2
tc with tx
tc at t1
tc at t2
sphericity automatically assumed
Paired-samples
t
test
sometimes called
correlated t test
dependent samples t test
1 IV
nominal
1 dv
interval or ratio
difference scores/change scores
difference in means over time.
Run all test at each time point
difference score computed
Normality
Test for outliers
z-scores
criteria of 3.29
look at min/max values
repeated measures ANOVA
about the model
more than one within-group pairwise comparison
three or more time points
sphericity assumption
variance is equal between time points
Analyzing
run test
look at sphericity
F-test
cohen's d, effect size
interpret results
Called standardize mean gain
mauchly's test
results not significant than sphericity assumed
within subject analysis
repeated measures
pre/post tests
time is the changing factor
longitudinal design