What is stratified sampling advantages and disadvantages?

What is stratified sampling advantages and disadvantages?

Stratified random sampling involves first dividing a population into subpopulations and then applying random sampling methods to each subpopulation to form a test group. A disadvantage is when researchers can’t classify every member of the population into a subgroup.

What are the advantages and disadvantages of a sample?

Random samples are the best method of selecting your sample from the population of interest. The advantages are that your sample should represent the target population and eliminate sampling bias. The disadvantage is that it is very difficult to achieve (i.e. time, effort and money).

What are the disadvantages of stratified sampling?

One major disadvantage of stratified sampling is that the selection of appropriate strata for a sample may be difficult. A second downside is that arranging and evaluating the results is more difficult compared to a simple random sampling.

Why is stratified sampling bad?

Compared to simple random sampling, stratified sampling has two main disadvantages. It may require more administrative effort than a simple random sample. And the analysis is computationally more complex.

Does stratified sampling have selection bias?

The sampling technique is preferred in heterogeneous populations because it minimizes selection bias and ensures that the entire population group is represented. It is not suitable for population groups with few characteristics that can be used to divide the population into relevant units.

What is the biggest barrier to using random sampling?

What is the biggest barrier to using random sampling? a. It is often unethical. You should not have all participants have equal chances of being selected because some might not want to participate.

What are the disadvantages of sample survey?

Disadvantages of Sample Surveys compared with Censuses:

• Data on sub-populations (such as a particular ethnic group) may be too unreliable to be useful.
• Data for small geographical areas also may be too unreliable to be useful.
• (Because of the above reasons) detailed cross-tabulations may not be practical.

What is the disadvantage of stratified sampling?