week 10 Flashcards

1
Q

What is one-way ANOVAs

A

test of difference 3 or more conditions: is a parametric test, compares mean scores across conditions. 2+conditions

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2
Q

What is a one-way within subjects ANOVA

A

Extension of a within subjects t-test/ paired samples t-test, same group of participants tested in three or more conditions

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3
Q

What is one-way between subjects ANOVA

A

Extension of an independent test/between subjects t-test, three or more different groups of participants

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4
Q

What is a Factor

A

the independent variable

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5
Q

What is a level

A

the separate conditions present within the factor

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6
Q

What are the steps to do ANOVA

A

1) Calculate the descriptive statistics
2) identify whether the data meet the assumptions for our chosen test
3) calculate the F value
4) identify whether the result is significant
5) reject or fail to reject the Null-hypothesis
6) write up

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7
Q

What is Sphericity

A

homogeneity of variance of the difference between conditions

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8
Q

What is Mauchly’s test

A

if significant- sphericity assumption violated
need to read differences of the SPSS output depending on whether the test is significant or not

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9
Q

What happens is Mauchly’s test is significant

A

read Greenhouse-Geisser

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10
Q

What happens if Mauchly’s test is not significant

A

read Sphericity-Assumed

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11
Q

How do we calculate the F value in the ANOVA

A

F= ms between/ ms error

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12
Q

What is Post-Hoc test

A

So, we need a way of comparing our different condition

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13
Q

What is the problem with doing multiple t-tests

A

increases probability of the type 1 error

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14
Q

What do you use in a post-hoc test for within subjects

A

Bonferroni Pairwise Comparisons as it compares pairs of conditions

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15
Q

What is the Friedman test

A

For IVs with 3 or more conditions, within-subjects design

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16
Q

What is Post-Hoc test

A

Wilcoxon tests with Bonferroni correction

17
Q

What do you do to the Alpha level for Post-Hoc test

A

The correction is 0.05/the number of comparison you wish to make

18
Q

What is rules with effect size

A

you only report the effect sizes on the post-hoc tests rather than the main effect