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Comentários e feedback de alunos de Dealing With Missing Data da instituição Universidade de Maryland, College Park

3.8
estrelas
118 classificações
33 avaliações

Sobre o curso

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®....

Melhores avaliações

ZM
19 de Ago de 2019

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

MM
4 de Jun de 2017

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

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26 — 30 de 30 Avaliações para o Dealing With Missing Data

por Margie H

30 de Ago de 2016

I wrote some indepth feedback, but par for the course, I can't save it - either here or on the discussion board. Nothing obscene, but certainly some major frustration with format, inconsistencies in scoring and format, information not reviewed in the course on some of the quizzes, the fact that Coursera keeps trying to sell me the specialty, the lack of ANY moderator on the discussion board to provide assistance...and can go on with the technical issues to but I won't!

por Alexander D B

8 de Nov de 2020

Wow... I've taken several courses on this site and this one is just not good in several ways. There are technical issues with the volume. The summary of information is really lacking detail. The section on R is not remotely useful if you have never used R before.

por Daniele C

10 de Abr de 2021

This course is to be changed completely. The criticism expressed in the forum are mostly true.

por Hiroki N

16 de Nov de 2017

the course materials are of very low quality.

por Manuela E

11 de Dez de 2020

Bad sound and poor content