About this Course

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Learner Career Outcomes

50%

started a new career after completing these courses

33%

got a tangible career benefit from this course

40%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 21 hours to complete
English

Learner Career Outcomes

50%

started a new career after completing these courses

33%

got a tangible career benefit from this course

40%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 21 hours to complete
English

Offered by

Placeholder

University of Michigan

Syllabus - What you will learn from this course

Week
1

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
1.2.1 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
2

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
2.1.2 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
3

Week 3

6 hours to complete

Module 3: Interviewers and Interviewing

6 hours to complete
9 videos (Total 173 min), 3 readings, 1 quiz
9 videos
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
4

Week 4

6 hours to complete

Module 4: Emerging modes, new data sources

6 hours to complete
12 videos (Total 194 min), 4 readings, 2 quizzes
12 videos
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
4 readings
Module 4 Overview2m
Module 4 Required Readings1h 45m
Module 4 Lecture Slides4m
Post-course Survey10m
2 practice exercises
Module 4: Emerging modes, new data sources30m
Final Exam30m

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About the Survey Data Collection and Analytics Specialization

Survey Data Collection and Analytics

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