ANOVA and Simple Contrasts Flashcards
1
Q
COMPARING MEANS
A
- input data into c2
- input boxes into c1; check nominal
- ANALYZE-COMPARE MEANS-MEANS
- c2 = DL; c1 = IL = OK
- make scales
- ANALYZE-GENERAL LINEAR MODEL-UNIVARIATE
- c2 = DV; c1 = FF = OK
- make nominal
- ANALYZE-GENERAL LINEAR MODEL-UNIVARIATE-PLOTS
- c1 = HA; add = CONTINUE = OK
2
Q
T-TESTS (EXP)
A
- both used in 2-group designs
- f-ratio is STATSIG when t-test is and vice versa
- F = t^2
- ANOVA = general t-test; used whenever t is
3
Q
F-RATIO
A
- statistically useful; helps see if dif is genuine
- informally gives measure of dif between group score means (for any considered number of groups)
- group means dif + = f-ratio +
- group variability (scatter) - = f-ratio +
- group variability (scatter) + = f-ratio -
- f-ratio > CV = reliable finding
4
Q
FR: SUMMARY
A
- no way of telling genuine dif via plot
- safe judgements = variability judgement
- ANOVA applies f-ratio; compares mean variance w/underlying variability
- ANOVA makes automatic/appropriate adjustments of variability to allow statistical stability of mean difs
5
Q
ANOVA SIMPLES USES
A
- comparing reliability of performance difs (2G)
- establishing genuine difs across 3+ groups
- establishing pairwise difs when comparing single groups
- examining more complex internal comparisons (ie. is a specific score higher/lower than a specific average)
6
Q
SIMPLE CONTRASTS
A
(ie. comparing G2/3 in 4)
- ANALYSE-GENERAL LINEAR MODEL-UNIVARIATE
- paste; BEFORE method:
- /contrast (var00001) = special (0, -1, 1, 0)
- play
- now look at the results you dingus
( 0 (1/4) = excludes groups; +/- (2/3) = opposite scales of comparison)
7
Q
CONTRAST WEIGHTS
A
- for comparisons, these are calculated via exactly equivalent logic
8
Q
GOLDEN RULES
A
- contrast = IV
- contrast total = condition total
- contrasted items = opposite sign
- contrast = 0