Understanding Cluster Sampling in the Anganwadi Study
The study involves a two-stage sampling process. First, the researcher randomly selects a group of primary units (districts) from the total population of districts. Second, the researcher collects data from all individuals (Anganwadi workers) within the selected primary units.
This method, where the population is divided into clusters (districts in this case), and then a random sample of these clusters is selected, with all individuals within the sampled clusters being studied, is known as Cluster sampling.
Why Other Sampling Methods Don't Fit
- Stratified sampling would involve dividing the districts into subgroups (strata) based on certain characteristics and then randomly sampling from *each* subgroup.
- Quota sampling is a non-probability method where researchers fill quotas for specific subgroups, not based on random selection of groups.
- Convenient sampling relies on easily accessible participants, not a random selection of geographical units like districts.
Therefore, the researcher's approach of randomly selecting five districts and then surveying all Anganwadi workers within those districts is a clear example of Cluster sampling.
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 :
- Which of the following is Not a type of stratified Sampling ?
