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Study set for hell part 2
Assumption of independence
data points are separate and independent, not always true but must be corrected for an ANOVA test
Things that move power
sample size, true effect, standard error, alpha value
Random effects
confounds that stop us from testing what we want to test
fixed effects
what we’re actually trying to test
how is n² different from partial n²
the latter takes out variability for other effects
Sphericity assumption
the difference between 3 or more levels are the same distance apart
between subjects error (conceptually)
looks at participant variability in each group
within subjects error (conceptually)
looks at participant variability across the different conditions in their groups
small effect size for partial n²
0.01
medium effect size for partial n²
0.06
large effect size for partial n²
0.14
small effect size for cohen’s f
0.1
medium effect size for cohen’s f
0.25
large effect size for cohen’s f
0.4