Resampling Two Flashcards

1
Q

describe a bootstrap resample

A

works with a single group

can be used to calculate standard error of the mean and confidence interval of a mean

also nonparametric

all possible combinations of the data to make the group size - a participants data might be used once, multiple times or not at all in a sample

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2
Q

pros of bootstrap sampling

A

very general - can use many models for many studies

can be used to perform hypothesis testing

not based on any data assumptions

no tables or hard equations etc

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3
Q

how many resamples must you generate ideally

A

1000-10000 but this is limited by population size

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4
Q

describe jackknife resampling

A

similar to bootstrap but done by ‘selecting all data except one’ rather than ‘randomly sampling by replacement’

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5
Q

describe monte carlo method of resampling

A

create data based on model simulations and compare these to real data

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