Non Probability Sampling
Ans.1: Non-Probability Sampling:
When the units of a sample are chosen so that each unit in the population does not have a calculable non-zero probability of being selected in the sample, this is called Non-Probability Sampling.
Also, Non-probability sampling is a sampling technique where the samples are gathered in a process that does not give all the individuals in the population equal chances of being selected.
In contrast with probability sampling, non-probability sample is not a product of a randomized selection processes. Subjects in a non-probability sample are usually selected on the basis of their accessibility or by the purposive personal judgment of the researcher.
Scope of Non-Probability Sampling:
• This type of sampling can be used when demonstrating that a particular trait exists in the population.
• It can also be used when the researcher aims to do a qualitative, pilot or exploratory study.
• It can be used when randomization is impossible like when the population is almost limitless.
• It can be used when the research does not aim to generate results that will be used to create generalizations pertaining to the entire population.
• It is also useful when the researcher has limited budget, time and workforce.
• This technique can also be used in an initial study which will be carried out again using a randomized, probability sampling.
Advantages of Non-Probability Sampling:
• Cheaper
• Used when sampling frame is not available
• Useful when population is so widely dispersed that cluster sampling would not be efficient
• Often used in exploratory studies, e.g. for hypothesis generation
• Some research not interested in working out what proportion of population gives a particular response but rather in obtaining an idea of the range of responses on ideas that people have.
Types of Non-Probability Sampling: There are five types of Non-Probability Sampling, they are:
1. Convenience Sampling.
2. Consecutive Sampling.
3.
When the units of a sample are chosen so that each unit in the population does not have a calculable non-zero probability of being selected in the sample, this is called Non-Probability Sampling.
Also, Non-probability sampling is a sampling technique where the samples are gathered in a process that does not give all the individuals in the population equal chances of being selected.
In contrast with probability sampling, non-probability sample is not a product of a randomized selection processes. Subjects in a non-probability sample are usually selected on the basis of their accessibility or by the purposive personal judgment of the researcher.
Scope of Non-Probability Sampling:
• This type of sampling can be used when demonstrating that a particular trait exists in the population.
• It can also be used when the researcher aims to do a qualitative, pilot or exploratory study.
• It can be used when randomization is impossible like when the population is almost limitless.
• It can be used when the research does not aim to generate results that will be used to create generalizations pertaining to the entire population.
• It is also useful when the researcher has limited budget, time and workforce.
• This technique can also be used in an initial study which will be carried out again using a randomized, probability sampling.
Advantages of Non-Probability Sampling:
• Cheaper
• Used when sampling frame is not available
• Useful when population is so widely dispersed that cluster sampling would not be efficient
• Often used in exploratory studies, e.g. for hypothesis generation
• Some research not interested in working out what proportion of population gives a particular response but rather in obtaining an idea of the range of responses on ideas that people have.
Types of Non-Probability Sampling: There are five types of Non-Probability Sampling, they are:
1. Convenience Sampling.
2. Consecutive Sampling.
3.