You can work and fit your work schedule (and your hobbies) around your coursework more easily even more so if you are taking an asynchronous class: an online class where you don’t have to log in at a specific time for a live session but you can study and interact with your instructor and your fellow classmates at your own pace through, for example, the discussion forum. Studying online gives you more flexibility. Here are five advantages to studying online. However, taking an online course, as opposed to a face-to-face class, definitely has its perks. If you have taken face-to-face classes all your life, being a little apprehensive at the beginning is normal, even if you are tech-savvy. If you are reading this post, it is possible that you are toying with the idea of signing up for an online course, but perhaps you don’t have a lot of experience studying online, if at all. In addition to this specialization we offer short courses, a summer school, certificates, master degrees as well as PhD programs.“Shall I take my next course online or shall I stick with my face-to-face classes?” to educate the next generation of survey researchers, survey statisticians, and survey methodologists. In the final Capstone Project, you’ll apply the skills learned throughout the specialization by analyzing and comparing multiple data sources.įaculty 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. 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. 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. It concentrates on the impact these techniques have on the quality of survey data, including error from measurement, nonresponse, and coverage, and assesses the tradeoffs between these error sources when researchers choose a mode or survey design. The course also covers newer methods such as mobile web and SMS (text message) interviews, and examines alternative data sources such as social media. Mixed mode designs are also covered as well as several hybrid modes for collecting sensitive information e.g., self-administering the sensitive questions in what is otherwise a face-to-face interview.
The course reviews a range of survey data collection methods that are both interview-based (face-to-face and telephone) and self-administered (paper questionnaires that are mailed and those that are implemented online, i.e. 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 presents research conducted to increase our understanding of how data collection decisions affect survey errors.
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