# Bootstrapping in Psychology

I am interested in bootstrap, especially how it's entering the psychologist's world.

Boostrapping is used to 'omit' classical assumptions to get statistics. Bootstrapping starts with creating new samples from an original sample (that is considered as a population). Those new samples are generated via resampling with replacement (so that in a new sample observations can be repeated). Doing this (for example) 1000 times, you can get 1000 new samples and then calculate statistics of interest on each of a new sample. Thus you get 1000 of means (as an example). In the end you can calculate (bootstrapped) confidence interval.

I am looking for papers on bootstrap in social sciences (like this one Wright, D.B, London, K., Field, A.P. (2011) Using Bootstrap Estimation and the Plug-in Principle for Clinical Psychology Data, Journal of Experimental Psychology, DOI: 10.5127/jep.013611), where the authors explain bootstrap technique to psychologists in their subfield or those papers (in social science) where bootstrap is used extensively.

Has anyone has seen, read or known such papers?

• Would you mind explaining in greater depth what bootstrap is and how it's typically used? The reference to the paper is useful, but a quick paragraph explaining the principle would be greatly appreciated. – Seanny123 Dec 29 '15 at 17:34
• ... in greater depth... I'd like to address you to wikipedia, but it's used to 'omit' classical assumptions to get statistics. Bootstrap starts with creating new samples from an original sample (that is considered as a population). Those new samples are generated via resampling with replacement (so that in a new sample observations can be repeated). Doing this (f.e.) 1000 times, you can get 1000 new samples and then calculate statistics of interest on each of a new sample. Thus you get 1000 of means (as an example). In the end you can calculate (bootstrapped) confidence interval. – Lil'Lobster Dec 29 '15 at 17:48