Chevron Left
Back to Dealing With Missing Data

Learner Reviews & Feedback for Dealing With Missing Data by University of Maryland, College Park

3.8
stars
123 ratings

About the Course

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®....

Top reviews

ZM

Aug 19, 2019

interesting material, well taught, lots of short quizzes to enforce understanding.

MM

Jun 4, 2017

This course quite help to get as much reliable data as possible for any survey.

Filter by:

26 - 32 of 32 Reviews for Dealing With Missing Data

By Vanessa

Nov 20, 2022

By Réjane F R

Dec 22, 2016

By Margie H

Aug 30, 2016

By Alexander D B

Nov 8, 2020

By Daniele C

Apr 10, 2021

By Hiroki N

Nov 16, 2017

By Manuela E

Dec 11, 2020