poststratifiointimenetelmiä
Poststratifiointimenetelmät, often translated as post-stratification methods, are statistical techniques used to adjust survey data to improve its representativeness. This adjustment is performed after the data has been collected, hence the term "post." The core idea is to make the sample statistics more closely align with known population characteristics.
The process begins with dividing the survey population into mutually exclusive subgroups, known as strata. These
Once the survey data is collected, it is compared to the known population proportions for each stratum.
Post-stratification is a powerful tool for correcting for non-response bias or sampling frame deficiencies. By adjusting