This course will cover the basic elements of designing and evaluating questionnaires. We will review the process of responding to questions, challenges and options for asking questions about behavioral frequencies, practical techniques for evaluating questions, mode specific questionnaire characteristics, and review methods of standardized and conversational interviewing.
This course is part of the Survey Data Collection and Analytics Specialization
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Survey Data Collection and Analytics SpecializationUniversity of MichiganAbout this Course
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Learner Career Outcomes
25%
started a new career after completing these courses
17%
got a tangible career benefit from this course
10%
got a pay increase or promotion
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 3 of 7 in the
Approx. 14 hours to complete
English
Subtitles: English
Learner Career Outcomes
25%
started a new career after completing these courses
17%
got a tangible career benefit from this course
10%
got a pay increase or promotion
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 3 of 7 in the
Approx. 14 hours to complete
English
Subtitles: English
Offered by
University of Michigan
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
Syllabus - What you will learn from this course
3 hours to complete
Introduction and Unit 1: Overview of Standardized Interviewing
Introduction; Different types of questions, Measurement error in questions: Bias and variance; Standardized and conversational interviewing; From specifying a concept to asking questions
3 hours to complete
6 videos (Total 67 min), 12 readings, 1 quiz
2 hours to complete
Unit 2: Response Process
Comprehension; Retrieval; Judgment; Response
2 hours to complete
4 videos (Total 50 min), 2 readings, 1 quiz
3 hours to complete
Unit 3: Asking Factual Questions
Facts and quasi facts; Memory and recall; Asking sensitive questions; Mode, privacy and confidentiality
3 hours to complete
8 videos (Total 68 min), 2 readings, 2 quizzes
2 hours to complete
Unit 4: Measuring Attitudes
Context effects in attitude questions; Use of different scales; Offering don’t know options; Response order effects
2 hours to complete
7 videos (Total 59 min), 2 readings, 1 quiz
Reviews
TOP REVIEWS FROM QUESTIONNAIRE DESIGN FOR SOCIAL SURVEYS
by VBJan 16, 2016
An excellent course that covers the fundamental concepts for survey design and administration. The content was well structured and presentations and study material was rich and comprehensive.
by TPSep 7, 2017
I wasn't a student's social major, I took this course in need of making a questionnaire for my researching. It is useful and easy to access the main key of a survey. Thank you
by TANov 16, 2016
So much material! The presentations are engaging and well-paced. The presenters showed an appropriate level of candor about the behavior of both respondents and interviewers.
by FTMar 23, 2016
Interesting course! Thank you for the instructors. I will definitely try some other courses by these authors and University of Michigan.
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.
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