power, effect size and sample size lec 8 Flashcards

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1
Q

why do we want more power

A

to detect an effect to correctly reject null hympothesis

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2
Q

what is power

A

the probability of avoiding a false negative (type 2 error)hat

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3
Q

what is the minimum power aimed for

A

0.8

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4
Q

why is low power bad

A

bad science (likely to produce false negative) and unethical ( wasting time and money / writing off)

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5
Q

what variables increase power

A

larger sample size
looking for larger effects (bigger the effect, more likely to find it)

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6
Q

how do you work out effect size

A

cohens d = (mgroup1 - mgroup2)/ sd pooled

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7
Q

what did choens d say the effect sizes are

A

0.2 = small
0.5 = medium
0.8 = largew

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8
Q

what does effect size tell us

A

how many SD the means are apart

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9
Q

how to work out how many participants needed

A

prospective power analysisw

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10
Q

what is prospective power analysis

A

calculates the minimum sample size

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11
Q

what is needed to know for the prospective power analysis

A

anticipated effect size and desired power level

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12
Q

what is the anticipated effect size

A

do we think it is going to be small med large?

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13
Q

what can work out this

A

gpower

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14
Q

what factors effect power

A

sample size
effect size
experimental design
a level

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15
Q

what design has the most power

A

repeated measure due to no of participants per conditon

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16
Q

how does a level effect power

A

the less strict the a level the greater the power (usually 0.05)

17
Q

what is prospective power analysis

A

before the study

18
Q

what is retrospective power analysis

A

after study, less useful but can tell what the power was if failed to recruit enough participants

19
Q
A