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

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Frederick Conrad, Ph.D.

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Survey Data Collection and Analytics SpecializationUniversity of Michigan

About this Course

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This course presents research conducted to increase our understanding of how data collection decisions affect survey errors. This is not a “how–to-do-it” course on data collection, but instead reviews the literature on survey design decisions and data quality in order to sensitize learners to how alternative survey designs might impact the data obtained from those surveys.
The course reviews a range of survey data collection methods that are both interview-based (face-to-face and telephone) and self-administered (paper questionnaires that are mailed and those that are implemented online, i.e. as web surveys). Mixed mode designs are also covered as well as several hybrid modes for collecting sensitive information e.g., self-administering the sensitive questions in what is otherwise a face-to-face interview. The course also covers newer methods such as mobile web and SMS (text message) interviews, and examines alternative data sources such as social media. It concentrates on the impact these techniques have on the quality of survey data, including error from measurement, nonresponse, and coverage, and assesses the tradeoffs between these error sources when researchers choose a mode or survey design.

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Course 2 of 7 in the

Survey Data Collection and Analytics Specialization

Beginner Level

Approx. 21 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.

Course 2 of 7 in the

Survey Data Collection and Analytics Specialization

Beginner Level

Approx. 21 hours to complete

English

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Try Coursera for Business

Instructor

Instructor rating

4.67/5 (36 Ratings)

Frederick Conrad, Ph.D.

Research Professor, Survey Methodology

Institute for Social Research

40,272 Learners

4 Courses

Offered by

University of Michigan

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Syllabus - What you will learn from this course

Content Rating96%(1,243 ratings)

Week

Week 1

4 hours to complete

Module 1: Introduction, Classic Modes of Survey Data Collection

4 hours to complete

12 videos (Total 134 min), 5 readings, 1 quiz

12 videos

1.1 What this course is … and is not11m

1.2.1 Introduction to Survey Errors10m

1.2.2 Variable Error and Bias10m

1.2.3 Total Survey Error7m

1.3.1 What do we mean by “mode?”16m

1.3.2 Mode Choice (by respondent)12m

1.4.1 Mixed Mode Design8m

1.4.2 Concurrent Mixed Mode8m

1.4.3 Sequential (Follow-up) Mixed Mode11m

1.4.4 Interview with David Weir (U. Michigan) on Mixed Mode Designs15m

1.5.1 Response Rates6m

1.5.2 Nonresponse Error13m

5 readings

Module 1 Overview2m

Help us learn more about you!10m

Module 1 Required Readings1h 2m

Module 1 Lecture Slides2m

Notice for Auditing Learners: Assignment Submission1m

1 practice exercise

Module 1: Classic Modes of Data Collection30m

Week

Week 2

5 hours to complete

Module 2: Self-administration, Online Data Collection

5 hours to complete

9 videos (Total 131 min), 3 readings, 1 quiz

9 videos

2.1.1 Modes (interviewer- and self-administered), CASI, ACASI10m

2.1.2 ACASI continued8m

2.2.1 Coverage17m

2.2.2 Nonresponse9m

2.2.3 Measurement21m

2.3.1 Progress Indicators, Running Tallies10m

2.3.2 Online Definitions6m

2.3.3 Speeding Interventions10m

2.4 Reg Baker (MRII) about web surveys in market research36m

3 readings

Module 2 Overview2m

Module 2 Required Readings1h 45m

Module 2 Lecture Slides5m

1 practice exercise

Quiz Two30m

Week

Week 3

6 hours to complete

Module 3: Interviewers and Interviewing

In this lesson, we explore the various roles interviewers take on beside asking questions and collecting answers, as well as some of the different approaches to interviewing that have been proposed and how they affect the accuracy of responses. By the end of Lesson 3, you will appreciate the benefits and costs of collecting data in interviews and will be able to contrast them with the costs and benefits of self-administration.

6 hours to complete

9 videos (Total 173 min), 3 readings, 1 quiz

9 videos

3.1.1 Interviewer Roles, Obtaining Interviews18m

3.1.2 Respondent selection, Within Household Sampling14m

3.1.3 Proxy Responding13m

3.2.1 Standardization Debate: Wording vs. Meaning12m

3.2.2 Different approaches to standardized interviewing14m

3.2.3 Personal vs. Formal Style, I-R Rapport18m

3.3.1 Variance: Interviewer Behavior25m

3.3.2 Bias: Interviewers’ Fixed Attributes16m

3.4 Interview with Nora Cate Schaeffer (UW) about recruitment and interviewing40m

3 readings

Module 3 Overview2m

Module 3 Required Readings2h 10m

Module 3 Lecture Slides3m

1 practice exercise

Quiz Three30m

Week

Week 4

7 hours to complete

Module 4: Emerging modes, new data sources

In this lesson, we focus on some new data collection modes such as mobile web surveys and SMS text interviews, as well as alternative data sources such as sensor data, administrative data, and social media. By the end of this lesson, you will have a sense of the issues to which survey methodologists and survey researchers are devoting much of their attention these days. You will be able to weigh the pros and cons of these new methods and data sources.

7 hours to complete

12 videos (Total 194 min), 5 readings, 2 quizzes

12 videos

4.1.1 New Modes, New Data15m

4.1.2 Mobile Web Surveys19m

4.1.3 Text Message Surveys11m

4.1.4 Text vs. Voice Interviews15m

4.2.1 Record linkage: statistical issues12m

4.2.2 Record linkage: Techniques18m

4.2.3 Record linkage: informed consent and ethical issues12m

4.3.1 Uses of Big Data, Sensing Technology, Social Media Content as Data17m

4.3.2 Social media applications: Measuring Mood and Depression11m

4.3.3 Social Media and Population Estimates: Successes7m

4.3.4 Why does social media content align with surveys data sometimes and not other times?13m

4.4 Interview with Aigul Mavletova (National Research University Higher School of Economics, Mosow) on mobile web surveys37m

5 readings

Module 4 Overview2m

Module 4 Required Readings1h 45m

Module 4 Lecture Slides4m

Post-course Survey10m

Keep Learning with Michigan Online10m

2 practice exercises

Module 4: Emerging modes, new data sources30m

Final Exam30m

Reviews

4.6

62 reviews

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TOP REVIEWS FROM DATA COLLECTION: ONLINE, TELEPHONE AND FACE-TO-FACE

by GSJun 20, 2016

Great ! Extremely intuitive ! A lot of state-of the art literature and bibliography. Excellent !

by RRApr 12, 2020

It's very lengthy but complete knowledge about different types of interview methods. Thanks a lot!

by EASep 14, 2020

The lecturers were very knowledgeable about the various topics and made learning very easy

by RKNov 6, 2018

Very well thought of and extremly well designed course

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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Data Collection: Online, Telephone and Face-to-face

About this Course