Asked by Misti Graham on Jun 26, 2024
Verified
Explain, with examples, what is meant by the term stratified random sampling.
Stratified Random Sampling
A method of sampling that involves dividing a population into smaller groups, or strata, and randomly selecting samples from each stratum.
- Differentiate between probability and nonprobability sampling techniques.
- Explain the application of various sampling techniques to particular research initiatives.
Verified Answer
DR
Dymond RhodesJun 28, 2024
Final Answer :
Answers will include student examples, but should explain that stratified random sampling is a way to "force" such groups into your sample. To ensure that all the groups of interest are proportionately represented in a sample, you would set aside a number of places in your sample relative to the size of the groups in the population you are drawing from. Then you fill those places by random sampling from those specific subgroups.
Learning Objectives
- Differentiate between probability and nonprobability sampling techniques.
- Explain the application of various sampling techniques to particular research initiatives.
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