1.) For a layman, these two concepts are same, but in reality, they are different in the sense that in probability sampling every member of the population gets a fair chance of selection which is not in the case.
2.) non-probability sampling. Other important differences between probability and non-probability sampling are compiled in the article below.
Definition of Probability Sampling:
In statistics, probability sampling refers to the sampling method in which all the members of the population has 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 generalised 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
Definition of 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:
Answers & Comments
Answer:
1.) For a layman, these two concepts are same, but in reality, they are different in the sense that in probability sampling every member of the population gets a fair chance of selection which is not in the case.
2.) non-probability sampling. Other important differences between probability and non-probability sampling are compiled in the article below.
Definition of Probability Sampling:
In statistics, probability sampling refers to the sampling method in which all the members of the population has 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 generalised 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
Definition of 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
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