Consecutive sampling
An editor has nominated this article for deletion. You are welcome to participate in the deletion discussion, which will decide whether or not to retain it. |
 | This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these messages)
|
In the design of experiments, consecutive sampling is a sampling technique in which every subject meeting the criteria of inclusion is selected until the required sample size is achieved.[1][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 in the case that the quantity of interest has temporal or seasonal trends.[5]
References
- ^ "Translational and Experimental Clinical Research - Google Books". Books.google.co.in. Retrieved 2015-09-29.
- ^ "Getting Started in Health Research - David Bowers, Allan House, David Owens - Google Books". Books.google.co.in. Retrieved 2015-09-29.
- ^ 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.
- ^ 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.
- ^ Schuster, Daniel P.; Powers (MD.), William J. (2005). Translational and Experimental Clinical Research. Lippincott Williams & Wilkins. p. 46. ISBN 9780781755658. Retrieved 29 September 2017.
 | This statistics-related article is a stub. You can help Wikipedia by expanding it. |