Survey Sampling Methods
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Saved by 3 people (0 private), first by anonymouse user on 2007-04-09
- Kennster on 2009-10-16 - Tags no_tag
- Moftasa on 2008-09-23 - Tags sampling , research , statistics
- Wolffw on 2008-09-11 - Tags sampling , sample size , web2.0
Public Sticky notes
Stratified sampling is commonly used
probability method that is superior to random sampling
because it reduces sampling error. A stratum is a subset
of the population that share at least one common
characteristic. Examples of stratums might be males and females, or managers and non-managers. The researcher first identifies the
relevant stratums and their actual representation in the
population. Random sampling is then used to select
a sufficient number of subjects from each stratum. "Sufficient" refers to a sample size large enough for us to be reasonably confident that the stratum represents the
population. Stratified sampling is often used when one or
more of the stratums in the population have a low
incidence relative to the other stratums.
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