Special Issue on Survey Sampling
In statistics, survey sampling refers to the process of a sample of elements is
selected from a target population to conduct a survey. It is important to
determine the right kind and number of a participant in a sample group, which
is one of the basic steps in conducting surveys. Sampling methods can be
classified as probability and non-probability. Probability methods include
random sampling, stratified sampling, cluster sampling, multistage sampling and
systematic sampling. Non-probability methods include convenience sampling,
judgment sampling, quota sampling and snowball sampling.
The goal of this special issue is to provide a platform
for scientists and academicians all over the world to promote, share, and
discuss various new issues and developments in the area of research on the survey sampling.
In this special issue, we intend to invite
front-line researchers and authors to submit original research and review
articles on exploring survey
sampling. Potential topics include, but are not limited to:
-
Selecting target population
-
Basic sampling techniques
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Calculating appropriate sample size
-
Probability vs. non-probability sampling
methods
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Estimation process in survey sampling
-
Statistical analysis of sample survey data
-
Sampling error and confidence interval in
survey sampling
Authors should read over the journal’s For Authors carefully
before submission. Prospective authors should submit an electronic copy of
their complete manuscript through the journal’s Paper Submission System.
Please kindly specify the “Special Issue”
under your manuscript title. The research field “Special Issue – Survey
Sampling” should be selected during your submission.
According to the
following timetable:
Submission Deadline
|
December 23rd, 2015
|
Publication Date
|
February 2016
|
Guest Editor:
For
further questions or inquiries
Please
contact Editorial Assistant at
ojs@scirp.org