This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration. Among the techniques discussed are adjustments using estimated response propensities, poststratification, raking, and general regression estimation. Alternative techniques for imputing values for missing items will be discussed. For both weighting and imputation, the capabilities of different statistical software packages will be covered, including R®, Stata®, and SAS®.
This course is part of the Survey Data Collection and Analytics Specialization
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Syllabus - What you will learn from this course
General Steps in Weighting
Specific Steps
Implementing the Steps
Imputing for Missing Items
Summary of Course 5
Reviews
- 5 stars40%
- 4 stars27.20%
- 3 stars13.60%
- 2 stars8%
- 1 star11.20%
TOP REVIEWS FROM DEALING WITH MISSING DATA
This course quite help to get as much reliable data as possible for any survey.
This course was hard to follow, hard to complete (quizzes), poorly designed and with little useful content. In other words, not worth the money I paid for it!
interesting material, well taught, lots of short quizzes to enforce understanding.
This is a higher level course. Good for beginners.
About the Survey Data Collection and Analytics Specialization

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