What are the merits and limitations of stratified random sampling?
Table of Contents
What are the merits and limitations of stratified random sampling?
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 strengths and weaknesses of stratified sampling?
Stratified Sampling
| Stratified Sampling | |
| Advantages Free from researcher bias beyond the influence of the researcher produces a representative sample | Disadvantages Cannot reflect all differences complete representation is not possible |
| Evaluation This way is free from bias and representative |
When can stratified sampling not be used?
Researchers must identify every member of a population being studied and classify each of them into one, and only one, subpopulation. As a result, stratified random sampling is disadvantageous when researchers can’t confidently classify every member of the population into a subgroup.
What are the limitations of sampling in research?
impossibility of sampling.
- Chances of bias. The serious limitation of the sampling method is that it involves biased selection and thereby leads us to draw erroneous conclusions.
- Difficulties in selecting a truly representative sample.
- In adequate knowledge in the subject.
- Changeability of units.
- Impossibility of sampling.
What is one disadvantage of stratified sampling quizlet?
What are the disadvantages of stratified sampling? Within the strata there are the same problems as in simple random sampling, and the strata may overlap if they are not clearly defined.
What are the disadvantages of random sampling?
These disadvantages include the time needed to gather the full list of a specific population, the capital necessary to retrieve and contact that list, and the bias that could occur when the sample set is not large enough to adequately represent the full population.
Is stratified random sampling biased?
1. Sampling the population. Simple random sampling – sometimes known as random selection – and stratified random sampling are both statistical measuring tools. Using random selection will minimize bias, as each member of the population is treated equally with an equal likelihood of being sampled.
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 pros and cons of random sampling?
Random Sampling
- 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).
Why is a small sample size a limitation?
Sample size limitations A small sample size may make it difficult to determine if a particular outcome is a true finding and in some cases a type II error may occur, i.e., the null hypothesis is incorrectly accepted and no difference between the study groups is reported.
What are the advantages and disadvantages of systematic random sampling?
Other advantages of this methodology include eliminating the phenomenon of clustered selection and a low probability of contaminating data. Disadvantages include over- or under-representation of particular patterns and a greater risk of data manipulation.
What are the pros and cons of a cluster random sample?
Requires fewer resources Since cluster sampling selects only certain groups from the entire population, the method requires fewer resources for the sampling process. Therefore, it is generally cheaper than simple random or stratified sampling as it requires fewer administrative and travel expenses.
What are the limitations of a simple random sampling?
Disadvantages of Simple random sampling 1. This method carries larger errors from the same sample size than that are found in stratified sampling. 2. In simple random sampling, the selection of sample becomes impossible if the units or items are widely dispersed.
How do you identify the limitations of a study?
Common Methodological Limitations of Studies
- Issues with research samples and selection.
- Insufficient sample size for statistical measurements.
- Lack of previous research studies on the topic.
- Methods/instruments/techniques used to collect the data.
- Limited access to data.
- Time constraints.
What are the limitations of sample size?
