- Schedule of Classes - July 16, 2019 7:15PM EDT
- Course Catalog - July 16, 2019 7:16PM EDT
Course information provided by the Courses of Study 2019-2020.
Graduate-level course in measurement and analysis of survey, demographic, and observational data. Topics include linear regression, analysis of variance, and analysis of covariance with both continuous and categorical variables. Non-linear regression models are also introduced in the form of logistic and multinomial logistic regression. Examples are illustrated using data from sources such as the General Social Survey, the U.S. Census, the American Community Survey, and the National Center for Educational Statistics. Students familiarize themselves with data cleaning, missing data estimation, variable transformations, sub-setting, and other data handling procedures using statistical programs such as STATA, SPSS, and SAS. Students are responsible for lab assignments involving the preparation of basic data preparation and analysis programs.
When Offered Fall.
Prerequisites/Corequisites Prerequisite: statistics course or permission of instructor.
- Find, download, and manage data useful for social science analysis.
- Create and manage a syntax file to establish a record of all methodological work.
- Pose research questions and design statistical methods to answer the questions.
- Implement appropriate statistical tests when needed.
- Present and defend questions, methods and findings.
Regular Academic Session.
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Class Number & Section Details
- TRWarren Hall 138
Prerequisite: statistics course.
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