In this topic, we are going to explain the basic difference between Probability and Non-Probability Sampling for Business Research Method or research methodology or research aptitude. So let’s start:-

Difference between Probability and Non-Probability Sampling – Research Aptitude

Difference

Probability Sampling

In statistics, probability sampling refers to the sampling method in which all the members of the population have a pre-specified and an equal chance to be a part of the sample. This technique is based on the randomization principle, wherein the procedure is so designed, which guarantees that each and every individual of the population has an equal selection opportunity. This helps to reduce the possibility of bias.

Statistical inferences can be made by the researchers using this technique, i.e. the result obtained can be generalized from the surveyed sample to the target population. The methods of probability sampling are provided below:


  • Simple Random Sampling
  • Stratified Sampling
  • Cluster Sampling
  • Systematic Sampling

Non-Probability Sampling

When in a sampling method, all the individuals of the universe are not given an equal opportunity of becoming a part of the sample, the method is said to be Non-probability sampling. Under this technique as such, there is no probability attached to the unit of the population and the selection relies on the subjective judgment of the researcher. Therefore, the conclusions drawn by the sampler cannot be inferred from the sample to the whole population. The methods of non-probability sampling are listed below:

  • Convenience Sampling
  • Quota Sampling
  • Judgment or Purposive Sampling
  • Snowball Sampling
Basis for Comparison Probability Sampling Non-Probability Sampling
Meaning Probability sampling is a sampling technique, in which the subjects of the population get an equal opportunity to be selected as a representative sample. Nonprobability sampling is a method of sampling wherein, it is not known which individual from the population will be selected as a sample.
Alternately known as Random sampling Non-random sampling
Basis of selection Randomly Arbitrarily
Opportunity of selection Fixed and known Not specified and unknown
Research Conclusive Exploratory
Result Unbiased Biased
Method Objective Subjective
Inferences Statistical Analytical
Hypothesis Tested Generated

 

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