LIS 504 - Sampling

Availability sampling:
selecting on the basis of convenience.
Random sampling:
every combination of a given size has an equal chance of being chosen.
Cluster sampling:
dividing the population into clusters, typically on the basis of geography, and taking a sample of the clusters.
Snowball sampling:
asking individuals studied to provide references to others.
Multi-stage sampling:
sampling subunits within sampled units.
Stratified sampling:
dividing the population into groups on the basis of some characteristic and then sampling each group.
Quota sampling:
selecting fixed numbers of units in each of a number of categories.
Systematic sampling:
choosing every nth item from a list, beginning at a random point.

Other kinds of sampling

Purposive sampling:
items are selected for a purpose.

Sequential sampling:
stopping when enough data have been collected.

Theoretical sampling:
selecting sequentially on the basis of earlier observations.


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Last updated January 19, 2001.
This page maintained by Prof. Tim Craven
E-mail (text/plain only): t.craven@uwo.ca
Faculty of Information and Media Studies
University of Western Ontario,
London, Ontario
Canada, N6A 5B7