Sampling Frame

A sampling frame is a complete list of all elements of the population from which the sample will be selected. The sampling frame defines the boundaries of the population and allows a random sample to be selected from it.

The sampling basis can be various lists and lists, for example: a list of city residents, a list of university students, a list of industry organizations, etc. The sampling frame must be representative and include all elements of the population that could potentially be included in the sample.

Having a complete and accurate sampling frame is an important requirement for conducting good statistical research using random sampling. The absence or distortion of a sampling frame can lead to systematic errors and reduce the representativeness of the resulting sample.

Sampling frames: concept and principles.

Basic concept of sampling: in statistics, a sample is a part of the observed objects selected for analysis.

The purpose of sampling is to obtain data about a small group of people or things that fairly accurately represents the population—the larger group that we would like to study.

If a sample is well suited to a study, it can produce accurate results because all characteristics of the sample should be equally distributed with the population. However, it is necessary to ensure the representativeness of the sample, i.e. it must represent the features of the population. Thus, one needs to know how to select objects or subjects from all the information