Mathematically, a sampling design is denoted by the function which gives the probability of drawing a sample
An example of a sampling design
During Bernoulli sampling, is given by
where for each element is the probability of being included in the sample and is the total number of elements in the sample and is the total number of elements in the population (before sampling commenced).
Sample design for managerial research
In business research, companies must often generate samples of customers, clients, employees, and so forth to gather their opinions. Sample design is also a critical component of marketing research and employee research for many organizations. During sample design, firms must answer questions such as: - What is the relevant population, sampling frame, and sampling unit? - What is the appropriate margin of error that should be achieved? - How should sampling error and non-sampling error be assessed and balanced?
- Sarndal, Swenson, and Wretman (1992), Model Assisted Survey Sampling, Springer-Verlag, ISBN 0-387-40620-4
- Mittal, Vikas, Sample Design for Customer-Focused Research (July 30, 2015). Available at SSRN: http://ssrn.com/abstract=2638086
- Salant, Priscilla, I. Dillman, and A. Don. How to conduct your own survey. No. 300.723 S3.. 1994.
- Hansen, Morris H., William N. Hurwitz, and William G. Madow. "Sample Survey Methods and Theory." (1953).
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