QUICK GUIDE 6 - OPERATIONALIZE KEY STATELESSNESS CONCEPTS
selection probabilities. A sampling frame is the set of source material from which the
sample is selected. A sampling frame is also the means for choosing the particular
members of the study population that are to be included in the survey. The most
important objectives of a good sampling frame are comprehensiveness and accuracy.
Comprehensiveness refers to the degree to which the sampling frame covers the entire
population. Accuracy refers to the degree to which the sampling frame includes correct
information about the elements of the target population that it covers. Constructing a
comprehensive and accurate sampling frame can be particularly challenging for hidden
populations such as stateless groups and can require as much, if not more, effort and
resources as the survey. Some examples for constructing a list of all stateless persons
in a country or region include: using census data (if up-to-date), conducting a listing
exercise (ideally in cooperation with the National Statistics Office), or enlisting the
assistance of an NGO to identify stateless persons or the areas in which they are known
to live.
Quick Guide 6
HOW TO OPERATIONALIZE
KEY STATELESSNESS
CONCEPTS WHEN
COLLECTING DATA ON
STATELESSNESS
Random sampling techniques can be contrasted with non-random sampling for
which the selection probabilities are unknown. Such methods include convenience
sampling and snowball sampling. Non-random sampling generally does not allow for
generalisation of survey findings to a larger population and should only be used if
random sampling is not feasible.
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