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Which of these best describes why it is so important to have a representative sample?
To generalize results from the sample population to the target population.
Difference between sample and sampling frame?
A sample is a subset of a population that is selected for research or analysis. It represents a smaller group that is studied to make inferences about the larger population. A sampling frame, on the other hand, is a list of all the elements in the population from which the sample is drawn. It serves as the source from which the sample is selected and should ideally include all members of the population.
What are the disadvantages for random sampling?
its time consuming and expensive if its a large sample you need or a big target population
One weakness of self selected sample?
it is non-random and prone to bias unrepresentative of target population
What is the difference between stratified random sampling and cluster sampling?
Basically in a stratified sampling procedure, the population is first partitioned into disjoint classes (the strata) which together are exhaustive. Thus each population element should be within one and only one stratum. Then a simple random sample is taken from each stratum, the sampling effort may either be a proportional allocation (each simple random sample would contain an amount of variates from a stratum which is proportional to the size of that stratum) or according to optimal allocation, where the target is to have a final sample with the minimum variabilty possible. The main difference between stratified and cluster sampling is that in stratified sampling all the strata need to be sampled. In cluster sampling one proceeds by first selecting a number of clusters at random and then sampling each cluster or conduct a census of each cluster. But usually not all clusters would be included.
What is difference between target population and sampled population?
sampled population?
Which of these best describes why it is so important to have a representative sample?
To generalize results from the sample population to the target population.
The act of generalizing from a sample that is significantly different from the target population and relevant respects?
Biased sample
What crucial requirement for is that the sample must be of the target population?
generalizations, generalizable
The crucial requirement for is that the sample must be of the target population?
Generalizations, representative
Which terms refers to the people from the target population that are surveyed or interviewed for a study?
sample
Which term refers to the people from the target population are surveyed or interviewed for a study?
sample
Which term refers to the people from the target population that are surveyed interview for a study?
sample
Difference between sample and sampling frame?
A sample is a subset of a population that is selected for research or analysis. It represents a smaller group that is studied to make inferences about the larger population. A sampling frame, on the other hand, is a list of all the elements in the population from which the sample is drawn. It serves as the source from which the sample is selected and should ideally include all members of the population.
What is the difference between target population and sampled population?
The target population refers to the entire group of people that researchers are interested in studying or making inferences about. The sampled population, on the other hand, is the specific subset of individuals that are selected to participate in the research study. The sampled population is a smaller, more manageable group that represents the larger target population.
What question should a research consumer asked or Explore when evaluating sample size in a research report?
How representative is the sample relative to the target population.
What is the purpose of randomization in epidemiology studies?
ensure taht the sample for the study is representative of the target population
