This course is part of the Survey Data Collection and Analytics Specialization

3.8
stars
125 ratings

Richard Valliant, Ph.D.

10,854 already enrolled

Offered By

Survey Data Collection and Analytics SpecializationUniversity of Maryland, College Park

About this Course

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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®.

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Course 5 of 7 in the

Survey Data Collection and Analytics Specialization

Approx. 17 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 5 of 7 in the

Survey Data Collection and Analytics Specialization

Approx. 17 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

3.5/5 (10 Ratings)

Richard Valliant, Ph.D.

Research Professor

Joint Program in Survey Methodology

14,934 Learners

5 Courses

Offered by

University of Maryland, College Park

The University of Maryland is the state's flagship university and one of the nation's preeminent public research universities. A global leader in research, entrepreneurship and innovation, the university is home to more than 37,000 students, 9,000 faculty and staff, and 250 academic programs. Its faculty includes three Nobel laureates, three Pulitzer Prize winners, 47 members of the national academies and scores of Fulbright scholars. The institution has a $1.8 billion operating budget, secures $500 million annually in external research funding and recently completed a $1 billion fundraising campaign.

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Syllabus - What you will learn from this course

Week1

Week 1

5 hours to complete

General Steps in Weighting

5 hours to complete

7 videos (Total 48 min), 7 readings, 7 quizzes

7 videos

Introduction10mQuantities to Estimate8mGoals of Estimation6mStatistical Interpretation of Estimates10mCoverage Problems5mImproving Precision3mEffects of Weighting on SEs2m

7 readings

Class notes + additional reading10mClass notes10mClass Notes10mClass Notes10mClass Notes10mClass Notes10mClass Notes10m

7 practice exercises

Introductory quiz on weights30mQuantities30mGoals30mInterpretation30mCoverage30mImproving precision30mEffects on SEs30m

Week2

Week 2

4 hours to complete

Specific Steps

4 hours to complete

6 videos (Total 44 min), 6 readings, 5 quizzes

Week3

Week 3

4 hours to complete

Implementing the Steps

4 hours to complete

6 videos (Total 64 min), 5 readings, 4 quizzes

6 videos

Software4mBase Weights10mMore on Base Weights13mNonresponse Adjustments13mExamples of Calibration7mSoftware for Poststratification14m

5 readings

Class Notes10mClass Notes + Software10mClass Notes10mClass Notes + Software for propensity classes10mClass Notes + Software for calibration10m

4 practice exercises

Software30mQuiz on base weights30mQuiz on nonresponse adjustments30mQuiz on calibration and poststratification30m

Week4

Week 4

4 hours to complete

Imputing for Missing Items

In most surveys there will be items for which respondents do not provide information, even though the respondent completed enough of the data collection instrument to be considered "complete". If only the cases with all items present are retained when fitting a model, quite a few cases may be excluded from the analysis. Imputing for the missing items avoids dropping the missing cases. We cover methods of doing the imputing and of reflecting the effects of imputations on standard errors in this module.

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

3.8

35 reviews

5 stars
40%
4 stars
27.20%
3 stars
13.60%
2 stars
8%
1 star
11.20%

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 ZMAug 19, 2019

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

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 HEDec 24, 2017

This is a higher level course. Good for beginners.

View all reviews

About the Survey Data Collection and Analytics Specialization

This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains. In six courses, you will learn the basics of questionnaire design, data collection methods, sampling design, dealing with missing values, making estimates, combining data from different sources, and the analysis of survey data. In the final Capstone Project, you’ll apply the skills learned throughout the specialization by analyzing and comparing multiple data sources.

Faculty for this specialisation comes from the Michigan Program in Survey Methodology and the Joint Program in Survey Methodology, a collaboration between the University of Maryland, the University of Michigan, and the data collection firm Westat, founded by the National Science Foundation and the Interagency Consortium of Statistical Policy in the U.S. to educate the next generation of survey researchers, survey statisticians, and survey methodologists. In addition to this specialization we offer short courses, a summer school, certificates, master degrees as well as PhD programs.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Dealing With Missing Data

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