CLRES 2045 - SURVEY DESIGN AND DATA ANALYSIS

Minimum Credits: 1
Maximum Credits: 1
Survey design and data analysis will provide information on the skills and resources needed to design and conduct survey and techniques of analyzing survey data. The skills include identifying and developing specific survey objectives, designing survey studies, sampling respondents, developing reliable and valid self-administered questionnaires, and administering surveys. The techniques of analyzing survey data include both classic methods such as factor analysis and advanced methods such as item response theory. A majority of lectures will focus on survey research, constructing surveys, response set, survey administration methods, questionnaire construction and programming surveys, sampling and power calculation, maximizing response rates, data coding and entry, reliability and validity, survey data analysis, factor analysis and item response theory. The students will be introduced to the internet based survey and the computerized adaptive testing to broaden their scope of the current survey design and collection. I will use manuscripts of survey data and protocols of completed studies to facilitate learning of concepts discussed in class.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Course Requirements: CREQ: CLRES 2040 or MEDEDU 2040; PLAN: Medical Education (ACM or MS) or Clinical Research (ACM or MS) or Clinical and Translational Sci (PHD)

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