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What else can I help you with?
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 smaller group selected from a larger population. It may be to costly and time consuming to carry out the study on the whole population so the researchers choose a sample and often generalise results.A sample frame is the list of people from which a sample for the study are selected. It is only carried out on the target population that the researcher is interested in studying. For example finding data on just school children would not involve the the whole population only children in schools.
One weakness of self selected sample?
it is non-random and prone to bias unrepresentative of target 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
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 term refers to the people from the target population are surveyed or interviewed for a study?
sample
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 that are surveyed interview for a study?
sample
Difference between sample and sampling frame?
A sample is a smaller group selected from a larger population. It may be to costly and time consuming to carry out the study on the whole population so the researchers choose a sample and often generalise results.A sample frame is the list of people from which a sample for the study are selected. It is only carried out on the target population that the researcher is interested in studying. For example finding data on just school children would not involve the the whole population only children in schools.
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.
How does size of target population affect sample size?
The size of the target population directly influences the required sample size for accurate representation and statistical validity. Larger populations generally require larger sample sizes to capture the diversity and variability within the population. However, after a certain point, increasing the population size has a diminishing effect on the required sample size, as the necessary sample size plateaus. This is due to the law of diminishing returns in sampling, where a sufficiently large sample can provide reliable estimates regardless of further population increases.
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.
