Consecutive sampling

In the design of experiments, consecutive sampling, also known as total enumerative sampling, is a sampling technique in which every subject meeting the criteria of inclusion is selected until the required sample size is achieved. Along with convenience sampling and snowball sampling, consecutive sampling is one of the most commonly used kinds of nonprobability sampling. Consecutive sampling is typically better than convenience sampling in controlling sampling bias. Care needs to be taken with consecutive sampling, however, in the case that the quantity of interest has temporal or seasonal trends. Bias can also occur in consecutive sampling when consecutive samples have some common similarity, such as consecutive houses on a street.

In the design of experiments, consecutive sampling, also known as total enumerative sampling,^[1] is a sampling technique in which every subject meeting the criteria of inclusion is selected until the required sample size is achieved.^[2] Along with convenience sampling and snowball sampling, consecutive sampling is one of the most commonly used kinds of nonprobability sampling.^[3] Consecutive sampling is typically better than convenience sampling in controlling sampling bias.^[4] Care needs to be taken with consecutive sampling, however, in the case that the quantity of interest has temporal or seasonal trends.^[2] Bias can also occur in consecutive sampling when consecutive samples have some common similarity, such as consecutive houses on a street.^[5]

References

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1. ^ Suresh, Sharma (2014). Nursing Research and Statistics. Elsevier Health Sciences. p. 224. ISBN 9788131237861. Retrieved 29 September 2017.
2. ^ ^{a b} Schuster, Daniel P.; Powers (MD.), William J. (2011). Translational and Experimental Clinical Reseah Research. John Wiley & Sons. ISBN 9781118292969. Retrieved 29 September 2017.
3. ^ Broeck, Jan Van den; Brestoff, Jonathan R. (2013). Epidemiology: Principles and Practical Guidelines. Springer Science & Business Media. pp. 178–179. ISBN 9789400759893. Retrieved 29 September 2017.
4. ^ Polit, Denise F.; Beck, Cheryl Tatano (2010). Essentials of Nursing Research: Appraising Evidence for Nursing Practice. Lippincott Williams & Wilkins. pp. 311–312. ISBN 9781609130046. Retrieved 29 September 2017.
5. ^ Indrayan, Abhaya; Holt, Martin P. (2016). Concise Encyclopedia of Biostatistics for Medical Professionals. CRC Press. ISBN 9781315355573. Retrieved 29 September 2017.

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