Grounds for Probability and Non-Probability Sampling Case Study 2022

Running head: Probability and Non-Probability Sampling 1
Grounds for Probability and Non-Probability sampling
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Probability and Non-Probability Sampling
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Introduction
Sampling is the art of selecting a part of a population to represent the entire population in
a research. The process of sampling is an important aspect of research as it lays a foundation of
how the entire data collection process and results will be. A wrong sampling process may be
detrimental to the results obtained from a research study. Wrong sampling may lead to
conclusion of results which might not be a representative of the whole population hence
misleading the purpose of research. For example, a research topic on the mean amount of money
an international student spends on accommodation will require a researcher to have his target
population to be students in an institution of learning. Conducting this research with a sample
randomly selected from a city center would not yield proper and valid results.
To add on, the outcome of the research will also depend on the sampling method used.
However, the sampling method will depend on the nature of you target population and the
approach of the specific research. Depending on the approach, a study can either employ
probability sampling or non-probability sampling.
Probability sampling
Probability sampling gives the researcher the opportunity to select a sample that
accurately represents the interest of the whole population.
Probability sampling such as simple random sampling which is also known as equal
probability sampling is employed in a research study where the researcher’s or the investigator’s
interest is not from influencing the choice of a sample (Weyer, 2014). In this method, every
member of the population should have an equal chance of being selected into the sample. In this