Research: Sampling

In Research, sampling methods refer to how we select members from the population to be in the study.

If a sample isn't randomly selected, it will probably be biased in some way and the data may not be representative of the population.

Lets learn various kinds of sampling

Study the PDF Below (for academic use only)

Sampling in Research PDF

Less recommended ways to sample

Convenience sample: The researcher chooses a sample that is readily available in some non-random way.

Voluntary response sample: The researcher puts out a request for members of a population to join the sample, and people decide whether or not to be in the sample.

Recommended ways to sample

Simple random sample: Every member and set of members has an equal chance of being included in the sample. Technology, random number generators, or some other sort of chance process is needed to get a simple random sample.

Stratified random sample: The population is first split into groups. The overall sample consists of some members from every group. The members from each group are chosen randomly.

Cluster random sample: The population is first split into groups. The overall sample consists of every member from some of the groups. The groups are selected at random.

Systematic random sample: Members of the population are put in some order. A starting point is selected at random, and every certain number is selected to be in the sample.

Sampling

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