Analysing 3 or more conditions One Flashcards

1
Q

what is ANOVA

A

analysis of variance

extention of the t test

allows us to test if 3 or more population means are the same, without a reduction in power

test statistic is F (as it was invented by Fisher)

compares the amount of variance explained by our experiment with the variance that is unexplained

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2
Q

what are the three versions of ANOVA and when would you use them

A

ANOVA - analysis of variance
(one way/one factor anova)

MANOVA - multivariate analysis of variance
(extension of anova for multiple DVS)

ANCOVA - analysis of covariance
(extension of anova for continous variables such as correlations)

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3
Q

what does ANOVA assume

A

scores were sampled randomly and are independent

normal distribution

roughly equal number of participants in the groups

roughly equal variance for each condition

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4
Q

what is explained and unexplained variance in between groups designs for ANOVA

A

explained - variance between groups

unexplained - variance within a group

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5
Q

talk about anova degrees of freedom

A

theres two values - one for each aspect of the variance

we report both, such as F(3,32)=15.3, p=0.05

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6
Q

how do you do a single IV anova in SPSS

A

analyze
compare means
one way anova

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7
Q

how do you do a general ANOVA in SPSS

A
analyze
general linear model
univariate
(put IV in 'fixed factor' box)
select post-hoc test (bonferroni)
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8
Q

when do you run a post hoc test for ANOVA

A

if main test found a significant result

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9
Q

what are other terms for the unexplained variance

A

residual or error

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10
Q

whats SS

A

sum of squares

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11
Q

whats MS

A

mean square

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12
Q

whats it called when theres one IV

A

one-way test, then two way etc

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13
Q

whats it called when theres 1 DV

A

univariate

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14
Q

whats it called when theres multiple DVs

A

multivariate

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15
Q

how do you calculate the f ratio

A

compute variance betwen groups (effect)

divide by the variance within groups (noise)

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