Survey Data Collection and Analytics 專項課程
Collect and analyze data, and communicate results。 Learn to collect quality data and conduct insightful data analysis in six courses.
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. Faculty for this specialisation comes from the Michigan Program in Survey Methodology and the Joint Program in Survey Methodology, a collaboration between the University of Maryland, the University of Michigan, and the data collection firm Westat, founded by the National Science Foundation and the Interagency Consortium of Statistical Policy in the U.S. to educate the next generation of survey researchers, survey statisticians, and survey methodologists. In addition to this specialization we offer short courses, a summer school, certificates, master degrees as well as PhD programs.
- Beginner Specialization.
- No prior experience required.
第 1 門課程
Framework for Data Collection and Analysis
- 4 weeks of study, 1-2 hours/week
課程概述This course will provide you with an overview over existing data products and a good understanding of the data collection landscape. With the help of various examples you will learn how to identify which data sources likely matches your research question
第 2 門課程
Data Collection: Online, Telephone and Face-to-face
- 4 weeks of study, 2-4 hours/weeks
課程概述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
第 3 門課程
課程概述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 quest
第 4 門課程
Sampling People, Networks and Records
課程概述Good data collection is built on good samples. But the samples can be chosen in many ways. Samples can be haphazard or convenient selections of persons, or records, or networks, or other units, but one questions the quality of such samples, especially
第 5 門課程
Dealing With Missing Data
課程概述This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration. Among the techniques discussed are adjustments using estimated response propensi
第 6 門課程
Combining and Analyzing Complex Data
課程概述In this course you will learn how to use survey weights to estimate descriptive statistics, like means and totals, and more complicated quantities like model parameters for linear and logistic regressions. Software capabilities will be co
第 7 門課程
Survey Data Collection and Analytics Project (Capstone)計劃開課班次：Nov 26
畢業項目介紹The Capstone Project offers qualified learners to the opportunity to apply their knowledge by analyzing and comparing multiple data sources on the same topic. Students will develop a research question, access and analyze relevant data, and criti
Frederick Conrad, Ph.D.
Research Professor, Survey Methodology
James M Lepkowski
Frauke Kreuter, Ph.D.
Professor, Joint Program in Survey Methodology
Richard Valliant, Ph.D.
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