Probability Sampling Design Explained
Probability sampling designs give every member of the population a known, non-zero chance of being selected. This ensures that the sample is representative of the population.
Cluster Sampling as Probability Sampling
Cluster sampling is a probability sampling method. In this technique, the population is divided into groups or 'clusters' (often naturally occurring, like geographical areas). Then, a random sample of clusters is selected, and all individuals within the selected clusters are included in the sample.
Why Other Options Are Not Probability Sampling
- Quota sampling: This is a non-probability method where samples are selected based on pre-set quotas for certain characteristics, without random selection.
- Snowball sampling: This non-probability technique relies on initial participants referring others who meet the criteria, useful for hard-to-reach populations.
- Purposive sampling: This non-probability method involves selecting participants based on the researcher's judgment and the purpose of the study.
Conclusion
Among the given options, only cluster sampling is a recognized probability sampling design because it involves random selection at the cluster level.
Important Questions from Methods of sampling - Teaching
- Which of the following holds true to probability sampling in any research design?
A. Every item of the universe has equal chance of inclusion
B. There is always the danger of bias
C. Sample has same composition and characteristic as that of universe
D. Sample selection is based on researcher's convenience
E. Individual units can be selected by lottery method
Choose the most appropriate answer from the options given below : - The equiprobability of selection to every unit in a universe refers to _________
- In case study research the most common form of sampling is -
Which of the following statements are true in the context of sampling ?
A. Purposive sampling is probability sampling
B. Snowball sampling is based upon sociometry
C. 'G' power is used to estimate sample size
D. Sampling error increases with sample size
E. Standard deviation of sampling distribution is sampling error
Choose the correct answer from the options given below :
- To conduct a study on Anganwadi workers, the researcher randomly selected five districts out of 30 districts of a state and collected data from each and every Anganwadi worker from these five districts. This is an example of _____
