week4. extended ANOVA topics Flashcards

1
Q

what test do you do to work out a simple effect of a ANOVA

A

a t-test

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2
Q

why do we work out a simple effect

A

so we can see the relationships between the individual variables

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3
Q

what is a Bonferroni test

A

it is a multiple-comparison correction used when several dependent or independent statistical tests are being performed simultaneously.

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4
Q

what are post hoc tests

A

they’re test chosen after the data is published to analyse different parts of the data in more detail

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5
Q

what are priori or planned comparisons

A

this is when a researched plans extra tests they’re going to do before collecting the data, simple effect etc.

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6
Q

what is undisclosed research flexibility

A

this is when the data is untrustworthy due to the researcher planning post data collection, trying to find desired result, or type 1 error is possible because of extra, unplanned tests have been done

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7
Q

do Bonferroni tests reduce the instance of a false positive

A

yes

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8
Q

what is a effect size

A

it indicates the magnitude of a difference separate from sample

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9
Q

what kind analysis does effect size help with

A

meta-analysis (cross-study comparison)

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10
Q

what is meta analysis

A

its a statistical process that combines the data of multiple studies to find common results and to identify overall trends

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11
Q

what is cohen’s d

A

its a statistical test that measures the difference between two group means

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12
Q

how do you work out the effect size of a t-test

A

cohen’s d

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13
Q

how do you work out effect size for a ANOVA on SPSS

A

you select the option “esteems of effect size” and then look at the column called “Partial eta squared” on ANOVA summary table

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14
Q

what is the symbol for effect size for ANOVA

A

np2

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15
Q

what re the different sizes of effect size for an ANOVA

A

small =0.01, med = 0.06, large = 0.14

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16
Q

how do you report a effect size for an ANOVA

A

at the end of your results, you put np2 = np2 value

17
Q

what is it meant by a factorial design

A

two-way

18
Q

what are 3-way + ANOVAS good for

A

testing nuisance variables

19
Q

what is a counterbalancing variable

A

it removes confounding arils from an experiment by giving slightly different participant groups