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] 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

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. (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.