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®.
About this Course
- 5 stars40.16%
- 4 stars27.04%
- 3 stars13.93%
- 2 stars7.37%
- 1 star11.47%
TOP REVIEWS FROM DEALING WITH MISSING DATA
Aside from a little hiccup with one of the quiz questions during week 1, this course was worth my time.
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!
This is a higher level course. Good for beginners.
About the Survey Data Collection and Analytics Specialization
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