Purposive sampling is a non-probability sample. It is selected based on population characteristics and study objectives. It may be referred to as subjective or selective sampling. It is also known as judgmental sampling.
Here are the purposive sampling pros and cons to think about and discuss.
List of the Pros of Purposive Sampling
1. It reaches a targeted sample quickly.
Purposive sampling provides options. When a targeted sample needs to be reached quickly, the different types of sampling make it possible to make generalizations from the results that are being studied.
2. There are numerous types available.
Purposive sampling has 7 different primary types. This allows researchers to find homogenous samples, perform typical case sampling, seek out deviant case sampling, or look at characteristics from an entire population.
3. Research designs can involve multiple phases.
Each phase in purposive sampling can build upon the previous one. That means different sampling technique types can be used in each phase, which makes it possible to achieve a wider range of non-probability sampling for researchers to draw conclusions upon. It allows for identifying phenomena that may require further investigation.
List of the Cons of Purposive Sampling
1. Proportionality is a problem.
Purposive sampling does not account for proportionality as one of its primary concerns. The goal is to find a range of cases to provide as much insight as possible in the fastest amount of time.
2. It is prone to researcher bias.
Purposive sampling is based on the researcher. That means their conscious or unconscious bias goes into the data being collected. That bias may make the data seem to be valid, but it can also influence the data and provide false results.
3. It can be difficult to defend.
Because researchers use their judgment in selecting cases, people, or targets for purposive sampling, it can be difficult to defend the conclusions that are reached from the data. Readers typically need additional convincing through other forms of data gathering to find that the results from this type of sampling are valid.
These purposive sampling pros and cons show that it can be a fast form of data collection. They also show that there is an inherent bias that researchers must account for in their work to validate the data they collect.