About this Course
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Flexible deadlines

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Approx. 9 hours to complete

Suggested: 4 weeks of study, 1-2 hours/week...

English

Subtitles: English

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 9 hours to complete

Suggested: 4 weeks of study, 1-2 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
3 hours to complete

General Steps in Weighting

7 videos (Total 48 min), 7 readings, 7 quizzes
7 videos
Quantities to Estimate8m
Goals of Estimation6m
Statistical Interpretation of Estimates10m
Coverage Problems5m
Improving Precision3m
Effects of Weighting on SEs2m
7 readings
Class notes + additional reading10m
Class notes10m
Class Notes10m
Class Notes10m
Class Notes10m
Class Notes10m
Class Notes10m
7 practice exercises
Introductory quiz on weights6m
Quantities4m
Goals6m
Interpretation6m
Coverage4m
Improving precision6m
Effects on SEs6m
Week
2
2 hours to complete

Specific Steps

6 videos (Total 44 min), 6 readings, 5 quizzes
6 videos
Base Weights8m
Nonresponse Adjustments7m
Response Propensities4m
Tree algorithms10m
Calibration5m
6 readings
Class Notes10m
Class Notes10m
Class Notes10m
Class Notes10m
Class Notes10m
Class Notes10m
5 practice exercises
Overview6m
Base weights6m
Nonresponse4m
Trees4m
Calibration6m
Week
3
2 hours to complete

Implementing the Steps

6 videos (Total 64 min), 5 readings, 4 quizzes
6 videos
Base Weights10m
More on Base Weights13m
Nonresponse Adjustments13m
Examples of Calibration7m
Software for Poststratification14m
5 readings
Class Notes10m
Class Notes + Software10m
Class Notes10m
Class Notes + Software for propensity classes10m
Class Notes + Software for calibration10m
4 practice exercises
Software4m
Quiz on base weights8m
Quiz on nonresponse adjustments6m
Quiz on calibration and poststratification8m
Week
4
2 hours to complete

Imputing for Missing Items

6 videos (Total 46 min), 5 readings, 5 quizzes
6 videos
Means and hotdeck7m
Regression Imputation6m
Effect on Variances9m
mice R package4m
mice example10m
5 readings
Class Notes10m
Class Notes10m
Class Notes10m
Class Notes10m
Class Notes + mice R package10m
5 practice exercises
Reasons for imputing6m
Means and hot deck4m
Regression imputation8m
Effects on variances8m
Imputation software12m
13 minutes to complete

Summary of Course 5

1 video (Total 3 min), 1 reading
1 video
1 reading
Class Notes10m
3.8
21 ReviewsChevron Right

Top reviews from Dealing With Missing Data

By MMJun 5th 2017

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

Instructor

Avatar

Richard Valliant, Ph.D.

Research Professor
Joint Program in Survey Methodology

About 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. ...

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....
Survey Data Collection and Analytics

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

More questions? Visit the Learner Help Center.