week 11 researh methods Flashcards

1
Q

What is analysis of variance

A

is a parametric test, Compares mean scores across conditions. 2+ condition

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2
Q

What is 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 t-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 is our aim

A

to summarise our data set. Calculate appropriate inferential statistics
Allow us to draw conclusions

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7
Q

What are our steps

A

Calculate the descriptive statistics
identify whether the data meet the assumptions for our chosen test
Calculate the f value
identify whether the result is significant
Reject or fail to reject the Null- hypothesis
write up

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8
Q

Why do we do post-Hoc tests

A

calculating several t-tests is not appropriate as it increases the probability of a type 1 error

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9
Q

What are post-hoc and when do we use them

A

Use if we have significant f value. In this design you will be using Tukey test for between-subjects design

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10
Q

What is Kruskal-Wallis test for

A

for IVs with 3 or more conditions between-subjects design

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11
Q

What is Post-Hoc test

A

Mann-Whitney U test with Bonferroni correction

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12
Q

When is ANOVA robust enough to deal with violations of normality

A

when group size are equal

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13
Q

What test do we use in a one-way between-subjects ANOVA

A

we use a Post-hoc Tukey test
There is no such test with a Kruskal-Wallis.
Instead we use multiple Mann-Whitney test . Instead we use multiple Mann-whitney tests and a Bonferroni correction

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14
Q
A
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