Questionnaire Design for Social Surveys
Master the art of designing effective questionnaires for social research, covering standardized interviewing, response processes, and evaluation techniques.
Master the art of designing effective questionnaires for social research, covering standardized interviewing, response processes, and evaluation techniques.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Survey Data Collection and Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Design effective questionnaires for social research
Understand the cognitive processes in survey response
Implement appropriate questioning techniques for sensitive topics
Evaluate and test questionnaire effectiveness
Minimize measurement error in survey design
Apply standardized interviewing methods
Skills you'll gain
This course includes:
5.9 Hours PreRecorded video
6 quizzes
Access on Mobile, Desktop, Tablet
FullTime access
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There are 6 modules in this course
This comprehensive course covers the fundamental aspects of questionnaire design for social surveys. It explores the process of developing effective survey instruments, from understanding response processes to implementing various questioning techniques. The curriculum includes practical methods for evaluating questions, standardized interviewing approaches, and strategies for handling sensitive topics. Students learn to design questionnaires that minimize measurement error while maximizing data quality.
Introduction and Unit 1: Overview of Standardized Interviewing
Module 1 · 3 Hours to complete
Unit 2: Response Process
Module 2 · 2 Hours to complete
Unit 3: Asking Factual Questions
Module 3 · 3 Hours to complete
Unit 4: Measuring Attitudes
Module 4 · 2 Hours to complete
Unit 5: Testing Questionnaires
Module 5 · 2 Hours to complete
Unit 6: Putting It All Together
Module 6 · 2 Hours to complete
Fee Structure
Instructors
Distinguished Survey Methodologist and Data Science Expert
Dr. Frauke Kreuter is a distinguished scholar in survey methodology and data science, holding key positions at the University of Maryland, University of Michigan, University of Mannheim, and the German Institute for Employment Research. Her extensive academic background includes roles at Ludwig Maximilians University and UCLA. Dr. Kreuter has made significant contributions to the field through influential books on data analysis and survey sampling, pioneering research on paradata in surveys, and interdisciplinary studies published in major journals. Her teaching experience spans over two decades, including long-standing courses at JPSM and the University of Michigan's Summer Institute. Dr. Kreuter's expertise is widely recognized, as evidenced by her election as a fellow of the American Statistical Association and her receipt of the Warren Mitofsky Innovators Award. Her work, which bridges survey methodology, statistics, and data science, has profoundly influenced survey research and its adaptation to evolving data environments, cementing her status as a leading figure in the field.
Research Professor, Survey Methodology
Frederick Conrad is a survey methodologist and psychologist on the faculty at the University of Michigan, where he directs the Michigan Program in Survey Methodology in the Institute for Social Research, and at the University of Maryland in the Joint Program in Survey Methodology. His research interests generally concern the impact of psychological processes on the quality of data from surveys. For example he has recently investigated how web surveys can be designed to reduce respondent short cuts and explored the impact of text message surveys on disclosure of sensitive information. Conrad has taught classroom versions of this course for many years.
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Frequently asked questions
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