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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