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.
ミシガン大学（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.
- 5 stars71.98%
- 4 stars21.49%
- 3 stars5.21%
- 2 stars0.32%
- 1 star0.97%
DATA COLLECTION: ONLINE, TELEPHONE AND FACE-TO-FACE からの人気レビュー
Great ! Extremely intuitive ! A lot of state-of the art literature and bibliography. Excellent !
Enjoyed the course. I think it would be great if we could get the correct answers to questions we get wrong, even if it's an option.
The lecturers were very knowledgeable about the various topics and made learning very easy
I liked the course, but I think it should be more focused on web based surveys, as it is the dominant mode- form.
Survey Data Collection and Analytics 専門講座について
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.