Understanding the Basics of Non-Probability Sampling Techniques in Social Science Research

Non- Probability Sampling

It is not known that which individual from the population will be selected as a sample.

Non-probability sampling is a type of sampling technique that does not involve random selection. In this type of sampling, the sample is selected based on the judgement of the researcher or some other criteria. Here are some important aspects of non-probability sampling:

1. Types of non-probability sampling: There are different types of non-probability sampling, including convenience sampling, purposive sampling, quota sampling, and snowball sampling.

2. Convenience sampling: Convenience sampling is the most common type of non-probability sampling. This method involves selecting participants who are easily accessible and readily available for the research study. Convenience sampling is less representative of the population as it relies on individuals who are willing to participate.

3. Purposive sampling: Purposive sampling, also known as judgmental sampling, involves selecting participants based on specific criteria that the researcher has set. The criteria can be any characteristic that the researcher believes is important for the research study.

4. Quota sampling: Quota sampling is a type of non-probability sampling that involves selecting participants based on a predetermined quota. For example, the researcher may decide to sample equal numbers of males and females or a specific age range.

5. Snowball sampling: Snowball sampling is a type of sampling where participants refer their peers to the researcher for the research study. This type of sampling is often used in situations where the population is difficult to identify.

6. Advantages of non-probability sampling: Non-probability sampling is simple, cost-effective, and easy to conduct. It is also useful when the researcher has limited time or resources for the research study.

7. Disadvantages of non-probability sampling: Non-probability sampling is less representative of the population as it does not involve random sampling. There is also a high risk of bias in the sample selection process.

In conclusion, non-probability sampling is an important sampling technique in research studies. However, it is important to acknowledge the limitations of non-probability sampling and consider other sampling methods that involve random sampling to ensure a more representative sample of the population.

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