Consecutive sampling

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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] [3] Along with convenience sampling and snowball sampling, consecutive sampling is one of the most commonly used kinds of nonprobability sampling. [4] Consecutive sampling is typically better than convenience sampling in controlling sampling bias. [5] 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. [6]

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References

  1. ↑ Suresh, Sharma (2014). Nursing Research and Statistics. Elsevier Health Sciences. p. 224. ISBN   9788131237861 . Retrieved 29 September 2017.
  2. 1 2 Schuster, Daniel P.; Powers (MD.), William J. (2005). Translational and Experimental Clinical Research. Lippincott Williams & Wilkins. p. 46. ISBN   9780781755658 . Retrieved 29 September 2017.
  3. ↑ Bowers, David; House, Allan; Owens, David H. (2011). Getting Started in Health Research. John Wiley & Sons. ISBN   9781118292969 . Retrieved 29 September 2017.
  4. ↑ 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.
  5. ↑ 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.
  6. ↑ 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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