Consecutive sampling

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]

References
  1. Suresh, Sharma (2014). Nursing Research and Statistics. Elsevier Health Sciences. p. 224. ISBN 9788131237861. Retrieved 29 September 2017.
  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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