Difference between probability sampling and non-probability sampling methods
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Difference between probability sampling and non-probability sampling methods
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Probability Sampling Methods |
Non-Probability Sampling Methods |
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Definition |
Probability Sampling is a sampling technique in which samples from a larger population are chosen using a method based on the theory of probability. |
Non-probability sampling is a sampling technique in which the researcher selects samples based on the researcher’s subjective judgment rather than random selection. |
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Alternatively Known as |
Random sampling method. |
Non-random sampling method |
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Population selection |
The population is selected randomly. |
The population is selected arbitrarily. |
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Nature |
The research is conclusive. |
The research is exploratory. |
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Sample |
Since there is a method for deciding the sample, the population demographics are conclusively represented. |
Since the sampling method is arbitrary, the population demographics representation is almost always skewed. |
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Time Taken |
Takes longer to conduct since the research design defines the selection parameters before the market research study begins. |
This type of sampling method is quick since neither the sample or selection criteria of the sample are undefined. |
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Results |
This type of sampling is entirely unbiased and hence the results are unbiased too and conclusive. |
This type of sampling is entirely biased and hence the results are biased too, rendering the research speculative. |
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Hypothesis |
In probability sampling, there is an underlying hypothesis before the study begins and the objective of this method is to prove the hypothesis. |
In non-probability sampling, the hypothesis is derived after conducting the research study. |
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