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.
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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Course 2 of 7 in the
Beginner Level
Approx. 21 hours to complete
English
Subtitles: French, Portuguese (European), Russian, English, Spanish
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
Beginner Level
Approx. 21 hours to complete
English
Subtitles: French, Portuguese (European), Russian, English, Spanish
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
4 hours to complete
Module 1: Introduction, Classic Modes of Survey Data Collection
In this lesson, you will be introduced to some key concepts about survey data collection methods that we will rely on throughout the course. By the end of this lesson, you should be well acquainted with the major sources of survey error and how these are affected -- usually in the form of tradeoffs -- by the particular mode used to administer questions and capture responses.
4 hours to complete
12 videos (Total 134 min), 5 readings, 1 quiz
5 hours to complete
Module 2: Self-administration, Online Data Collection
This second lesson focuses on modes in which survey respondents self-administer questions and provide their responses directly to researchers. By the end of Lesson 2, you will understand the pros and cons of self-administered modes from the TSE perspective.
5 hours to complete
9 videos (Total 131 min), 3 readings, 1 quiz
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
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
Reviews
TOP REVIEWS FROM DATA COLLECTION: ONLINE, TELEPHONE AND FACE-TO-FACE
by JMay 26, 2019
- the difference between mobile survey and web survey\n\ndifference between online and face to face interviews\n\ndifference between telephone interviews and computer interviws
by SKJul 19, 2016
There is one word for this Course "Amazing". No matter if you are a undergrad student or a seasoned researcher, you'll feel that you have learned a lot from this course.
by EWMar 27, 2019
Very good summary of the advantages and disadvantages of different approaches to survey data collection, including some useful context about hybrid approaches.
by CPMar 28, 2017
The course material presents the traditional methods and latest developments in data collection for survey research. Excellent overall.
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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