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.
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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.
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Top-Bewertungen von QUESTIONNAIRE DESIGN FOR SOCIAL SURVEYS
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.
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
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.
Interesting course! Thank you for the instructors. I will definitely try some other courses by these authors and University of Michigan.
Über den Spezialisierung Survey Data Collection and Analytics
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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