ANOVA between + within Flashcards

(14 cards)

1
Q

between group vs within groups variance

what do they contain

A

Between
- effect of independent variable
- random error

within
- random error (individual diff)

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2
Q

H0 and H1 predictions for ANOVA

A

H0 = SS between/SSwithin equal to 1
H1 = SSbetween/SSwithin greater than 1

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3
Q

When to use t-test vs ANOVA

A

t-test 1 or 2
ANOVA = 3 groups

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4
Q

familywise error is

A

probability of committing at least 1 type1 error across stat tests
1-(1-alpha)n

to the power of n (number of comparisons)

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5
Q

Type 1 error

A

false positive
accepting that 5% of time, incorrectly reject the null hypothesis

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6
Q

ANOVA is

A

analysis of variance
- ratio of variance accounted for by independent variable

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7
Q

Between-subjects ANOVA assumptions

A
  1. dependent variable interval/ratio
  2. population normally distributed
  3. equal variance of samples - homogeneity (levene’s non-significant is good)
  4. independence of observation
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8
Q

between ANOVA steps

A
  1. sums of squares (grand mean, group mean)
    - ss total
    - ss between
    - ss within
  2. degrees of freedom - df total N-1, dfbetween k-1, df within (number in each group-1) added
    - k =number of groups
  3. mean squares
  4. f ratio
  5. p value

sstotal-within = betwee
ssbetween+within = total

ss total-within=between

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9
Q

F-table

need df 1, df 2

A

df1 across top row is dfbetween
df2 down the side column is dfwithin

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10
Q

ANOVA cohen’s d

both within and between

A

n2
- small .01
- medium .06
- large .14

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11
Q

ANOVA within
ERROR PARSING IS

A

remove individual differences variance from SSwithin
- more accurate estimate of error
- f-ratio bigger
- greater chance of rejecting null

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12
Q

ANOVA within
effect size writing

A

0.79
79% of variance in DV is accounted for by IV
removed/partialled out individual differences

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13
Q

ANOVA Within assumptions

A
  1. DV interval or ratio scale
  2. populations norm distributed
  3. independent of observations in each IV
  4. sphericity - variances are equivalent
    - Mauchleys test need it non-significant
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14
Q

ANOVA

which groups are different tho?

at least one group/condition is different from the other

A

post-hoc tests
- bonferroni (t-tests with smaller aplha = alpha/number of comparisons)
- holm’s stepdown until retained

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