About this Course
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26 ratings
4 reviews
Specialization
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100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 8 hours to complete

Suggested: 7 hours/week...
Available languages

English

Subtitles: English...
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 8 hours to complete

Suggested: 7 hours/week...
Available languages

English

Subtitles: English...

Syllabus - What you will learn from this course

Week
1
Hours to complete
2 hours to complete

Basic Estimation

After completing Modules 1 and 2 of this course you will understand how to estimate descriptive statistics, overall and for subgroups, when you deal with survey data. We will review software for estimation (R, Stata, SAS) with examples for how to estimate things like means, proportions, and totals. You will also learn how to estimate parameters in linear, logistic, and other models and learn software options with emphasis on R. Module 3 and 4 discuss how you can add additional data to your analysis. This requires knowing about record linkage techniques, and what it takes to get permission to link data....
Reading
7 videos (Total 69 min), 6 readings, 1 quiz
Video7 videos
Basic R examples15m
Basic R examples (continued)13m
Degrees of Freedom7m
Estimating Means7m
Multistage samples5m
Quantile estimation in R10m
Reading6 readings
Slides10m
Slides10m
Slides10m
Slides10m
Slides (continued)10m
Slides10m
Quiz1 practice exercise
Course 6 Module 114m
Week
2
Hours to complete
2 hours to complete

Models

Module 2 covers how to estimate linear and logistic model parameters using survey data. After completing this module, you will understand how the methods used differ from the ones for non-survey data. We also cover the features of survey data sets that need to be accounted for when estimating standard errors of estimated model parameters....
Reading
8 videos (Total 50 min), 8 readings, 1 quiz
Video8 videos
Estimation Method3m
Linear Models5m
Diagnostics in R8m
Linear Models in Stata5m
Logistic Models in R4m
Odds Ratios8m
Logistic Regression in Stata6m
Reading8 readings
Slides10m
Slides10m
Slides10m
Slides10m
Slides10m
Slides10m
Slides10m
Slides10m
Quiz1 practice exercise
Course 6 Module 214m
Week
3
Hours to complete
3 hours to complete

Record Linkage

Module starts with the current debate on using more (linked) administrative records in the U.S. Federal Statistical System, and a general motivation for linking records. Several examples will be given on why it is useful to link data. Challenges of record linkage will be discussed. A brief overview over key linkage techniques is included as well....
Reading
4 videos (Total 38 min), 12 readings, 1 quiz
Video4 videos
Gentle Introduction9m
Challenges8m
Key Techniques11m
Reading12 readings
Improving Federal Statistics Using Multiple Data Sources10m
Longitudinal Employer-Household Dynamics (LEHD)10m
Impact of Research on Innovation, Competition and Science10m
Slides10m
Slides - Introduction10m
Technical Overview - Software10m
Slides: Challenges10m
Slides10m
Record Linkage (Herzog/Scheuren/Winkler 2010)10m
Febrl - A Freely Available Record Linkage System (Christen)10m
Machine Learning and Record Linkage (Winkler 2011)10m
Privacy Preserving Record Linkage (Schnell et al. 2009)10m
Quiz1 practice exercise
Quiz 3 - Record Linkage10m
Week
4
Hours to complete
1 hour to complete

Ethics

This module will discuss key issues in obtaining consent to record linkage. Failure to consent can lead to bias estimates. Current research examples will be given as well as practical suggestions on how to obtain linkage consent. ...
Reading
5 videos (Total 23 min), 3 readings, 1 quiz
Video5 videos
Linkage Consent and Consent Bias8m
Correlates of Consent3m
Bias in Administrative Estimates2m
Optimizing Linkage Consent6m
Reading3 readings
Slides10m
Assessing the Magnitude of Non-Consent Biases (Sakshaug & Kreuter 2012)10m
Placement, Wording and Interviewers (Sakshaug et al.)10m
Quiz1 practice exercise
Quiz - Linkage Consent10m

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.

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