Non-probability Sampling

Authors
Publication date 2016
Host editors
  • C. Wolf
  • D. Joye
  • T.W. Smith
  • Y.-c. Fu
Book title The SAGE Handbook of Survey Methodology
ISBN
  • 9781446282663
  • 9781473957893
ISBN (electronic)
  • 9781473959057
  • 9781473959040
Chapter 22
Pages (from-to) 329-345
Publisher London: SAGE
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Amsterdam Institute for Social Science Research (AISSR)
Abstract
A sample is a subset of a population and we survey the units from the sample with the aim to learn about the entire population. However, the sampling theory was basically developed for probability sampling, where all units in the population have known and positive probabilities of inclusion. This definition implicitly involves randomization, which is a process resembling lottery drawing, where the units are selected according to their inclusion probabilities. In probability sampling the randomized selection is used instead of arbitrary or purposive sample selection of the researcher, or, instead of various self-selection processes run by respondents. Within this context, the notion of non-probability sampling denotes the absence of probability sampling mechanism.
Document type Chapter
Language English
Published at https://doi.org/10.4135/9781473957893.n22
Published at http://sk.sagepub.com/reference/the-sage-handbook-of-survey-methodology/i2461.xml
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