Master the Art of Sampling Techniques

Study Notes

Sampling is a method of selecting participants in a study from the total population.
Sampling saves time, money, and effort for researchers with limited resources.
The number of individuals or observations included in an experiment is called sample size.
There are two types of sampling methods: probability sampling and non-probability sampling.
Probability sampling utilizes random sampling techniques to select individuals to create a sample.
There are five types of probability sampling techniques: simple random sampling, stratified random sampling, systematic sampling, cluster random sampling, and multi-stage random sampling.
Non-probability sampling involves non-random techniques based on convenience or other criteria set by the researcher.
There are four commonly used non-probability sampling techniques: convenience sampling, purposive sampling, quota sampling, and snowball sampling.
In quota sampling, the sample is created based on specific characteristics like gender, age, and others.
Snowball sampling is utilized to recruit participants through other participants if the population of interest is hard to locate.
The text describes a sampling technique called chain-referral sampling.
This technique involves recruiting participants through a chain of referrals.
It is often used when it is difficult to find participants for a study.
An example given is a study on illegal drug users.
The researcher meets one willing participant and then that person helps recruit others.
The technique relies on the social networks of participants.
It can be effective for reaching hard-to-reach populations.
However, it may introduce bias into the sample.
The technique requires careful management to ensure confidentiality and ethical considerations are met.
Overall, chain-referral sampling is a useful tool for researchers in certain situations.