What is sampling for survey and data collection?

Sampling or sampling methods is a crucial factor in case of carrying out any survey activity or any kind of evaluation research,

A sample can be selected in several ways as follows:

Simple Random Sampling.

This sampling category is useful when the population to be surveyed is relatively small and concentrated in a small geographical area. This type of sampling is very simple to design.

Cluster Sampling:

In this case the study population is divided into suitable clusters such as groups, communities, or any other specific  or easily recognizable units.

Stratified Random Sampling

The study sample is divided into different specific/identical strata to get best representation of the study population. The representatives from each strata are then selected on random sample basis.

Panel Sampling:

When the same respondents are re-interviewed in a second survey, they are designated as panel sample. This panel method is used usually for the respondents are mobile in nature.

Independent Sampling;

In this case a new random sample is selected for the subsequent interview.

How to determine the sample size?

The sample size in all the cases as mentioned above is determined based on the nature and requirement of the survey study vis-à-vis the available budget and other essential resources.

Importance of sampling.

The sampling is a vital part for designing and implementing any base line survey, impact studies or impact surveys. Sampling is also an integral part for designing and implementing normal project monitoring and evaluation activities and also for following the systems of monitoring and evaluation across development projects.

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