Respuesta :
Complete question is;
Identify the sampling technique used, and discuss potential sources of bias (if any). Explain. After a hurricane, a disaster area is divided into 200 equal grids. Thirty of the grids are selected, and every occupied household in the grid is interviewed to help focus relief efforts on what residents require the most.
Answer:
A) Cluster Sampling
B) Non - response bias.
Step-by-step explanation:
A) There are different sampling techniques such as:
-Convenience Sampling
-Cluster Sampling
-Systematic random Sampling
-Simple random Sampling
-Stratified random Sampling
Now, the most appropriate type used would be Cluster sampling. Cluster sampling is defined as a sampling technique that divides the samples into clusters or non - overlapping sub-groups and some of these clusters will be in the sample.
So from the question, the disaster area has been divided into 200 equal grids. This 200 grids can also be referred to as clusters or non overlapping subgroups. They are also included in the sample being interviewed. Thus, it's clearly a cluster sampling technique that was used.
B) There are different sources of bias such as;
- Undercoverage bias
- Response bias
- Non - response bias.
The most likely potential source of bias will be non response bias. This source of bias arises when the data/results of some people in the sample are not provided.
In the question, it's very possible that some people in the sample may not be willing to provide answers to the interview questions. Thus there is a high possibility of non - response bias.
