ANOVA between + within Flashcards
(14 cards)
between group vs within groups variance
what do they contain
Between
- effect of independent variable
- random error
within
- random error (individual diff)
H0 and H1 predictions for ANOVA
H0 = SS between/SSwithin equal to 1
H1 = SSbetween/SSwithin greater than 1
When to use t-test vs ANOVA
t-test 1 or 2
ANOVA = 3 groups
familywise error is
probability of committing at least 1 type1 error across stat tests
1-(1-alpha)n
to the power of n (number of comparisons)
Type 1 error
false positive
accepting that 5% of time, incorrectly reject the null hypothesis
ANOVA is
analysis of variance
- ratio of variance accounted for by independent variable
Between-subjects ANOVA assumptions
- dependent variable interval/ratio
- population normally distributed
- equal variance of samples - homogeneity (levene’s non-significant is good)
- independence of observation
between ANOVA steps
- sums of squares (grand mean, group mean)
- ss total
- ss between
- ss within - degrees of freedom - df total N-1, dfbetween k-1, df within (number in each group-1) added
- k =number of groups - mean squares
- f ratio
- p value
sstotal-within = betwee
ssbetween+within = total
ss total-within=between
F-table
need df 1, df 2
df1 across top row is dfbetween
df2 down the side column is dfwithin
ANOVA cohen’s d
both within and between
n2
- small .01
- medium .06
- large .14
ANOVA within
ERROR PARSING IS
remove individual differences variance from SSwithin
- more accurate estimate of error
- f-ratio bigger
- greater chance of rejecting null
ANOVA within
effect size writing
0.79
79% of variance in DV is accounted for by IV
removed/partialled out individual differences
ANOVA Within assumptions
- DV interval or ratio scale
- populations norm distributed
- independent of observations in each IV
- sphericity - variances are equivalent
- Mauchleys test need it non-significant
ANOVA
which groups are different tho?
at least one group/condition is different from the other
post-hoc tests
- bonferroni (t-tests with smaller aplha = alpha/number of comparisons)
- holm’s stepdown until retained