Types of Sampling

Difference between probability sampling and non-probability sampling methods

We have looked at the different types of sampling methods above and their subtypes. To encapsulate the whole discussion, though, the significant differences between probability sampling methods and non-probability sampling methods are as below:

Probability Sampling MethodsNon-Probability Sampling Methods
DefinitionProbability 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.
Alternatively Known asRandom sampling method.Non-random sampling method
Population selectionThe population is selected randomly.The population is selected arbitrarily.
NatureThe research is conclusive.The research is exploratory.
SampleSince 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.
Time TakenTakes 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.
ResultsThis 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.
HypothesisIn 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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