Resampling Two Flashcards
describe a bootstrap resample
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
pros of bootstrap sampling
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
how many resamples must you generate ideally
1000-10000 but this is limited by population size
describe jackknife resampling
similar to bootstrap but done by ‘selecting all data except one’ rather than ‘randomly sampling by replacement’
describe monte carlo method of resampling
create data based on model simulations and compare these to real data