Statistical Methods for Sample Surveys (Spring 2009)
by
1
- 1 The Johns Hopkins University
Presents construction of sampling frames, area sampling, methods of estimation, stratified sampling, subsampling, and sampling methods for surveys of human populations. Students use STATA or another comparable package to implement designs and analyses of survey data.
Course Description
Presents construction of sampling frames, area sampling, methods of estimation, stratified sampling, subsampling, and sampling methods for surveys of human populations. Students use STATA or another comparable package to implement designs and analyses of survey data.
Course Objectives
Upon successfully completing this course, students will be able to:
- design and implement surveys with the following sampling designs: simple random, systematic, stratified, cluster and multistage;
- estimate sample size for different sampling designs in order to estimate population level point estimates and testing null hypothesis;
- explain and apply intraclass correlation and design-effects (DEFF) for complex surveys;
- estimate design weights and adjust for non-response.
research design
Publisher:
The Johns Hopkins University
The Johns Hopkins University
{
- author = {Saifuddin Ahmed},
- title = {Statistical Methods for Sample Surveys (Spring 2009)},
- publisher = {The Johns Hopkins University},
Saifuddin Ahmed Statistical Methods for Sample Surveys (Spring 2009) The Johns Hopkins University
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interface
input methods
Personal skills
Exploration skills (gaming)
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