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
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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
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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
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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
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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)
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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)

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7
Q

CONTRAST WEIGHTS

A
  • for comparisons, these are calculated via exactly equivalent logic
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8
Q

GOLDEN RULES

A
  • contrast = IV
  • contrast total = condition total
  • contrasted items = opposite sign
  • contrast = 0
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