Estimate the sampling distribution of an estimator by resampling
with replacement from the original sample
IBM SPSS BOOTSTRAPPING
Bootstrapping is a useful technique for testing model stability. IBM SPSS Bootstrapping helps make it effective and easy. This module of IBM SPSS Statistics estimates the sampling distribution of an estimator by resampling with replacement from the original sample. You can estimate the standard errors and confidence intervals of a population parameter such as a mean, median, proportion, odds ratio, correlation coefficient, regression coefficient or others. Control the numbers of bootstrap samples, set a random number seed and indicate whether a simple or stratified method is appropriate.