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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Course 5 of 7 in the
Approx. 17 hours to complete
English
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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 5 of 7 in the
Approx. 17 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
5 hours to complete
General Steps in Weighting
5 hours to complete
7 videos (Total 48 min), 7 readings, 7 quizzes
4 hours to complete
Specific Steps
4 hours to complete
6 videos (Total 44 min), 6 readings, 5 quizzes
4 hours to complete
Implementing the Steps
4 hours to complete
6 videos (Total 64 min), 5 readings, 4 quizzes
4 hours to complete
Imputing for Missing Items
4 hours to complete
6 videos (Total 46 min), 5 readings, 5 quizzes
13 minutes to complete
Summary of Course 5
13 minutes to complete
1 video (Total 3 min), 1 reading
Reviews
- 5 stars40%
- 4 stars27.20%
- 3 stars13.60%
- 2 stars8%
- 1 star11.20%
TOP REVIEWS FROM DEALING WITH MISSING DATA
by MMJun 4, 2017
This course quite help to get as much reliable data as possible for any survey.
by MSApr 13, 2017
Aside from a little hiccup with one of the quiz questions during week 1, this course was worth my time.
by ZMAug 19, 2019
interesting material, well taught, lots of short quizzes to enforce understanding.
by HEDec 24, 2017
This is a higher level course. Good for beginners.
About the Survey Data Collection and Analytics Specialization

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