Quantitative Research Methods (Multivariate) OpenCourseWare: A Free MIT Graduate Study Political Science Statistics Course
'Quantitative Research Methods: Multivariate' is OpenCourseWare offered by Massachusetts Institute of Technology (MIT). This course presents statistical models that estimate a variable's causal effect. This course was originally offered to graduate students in the Political Science Department of MIT.
Quantitative Research Methods: Multivariate: Course Specifics
Quantitative Research Methods: Multivariate: Course Description
Offered by Massachusetts Institute of Technology (MIT) and developed by Professor Stephen Ansolabehere, this free OpenCourseWare looks at statistical models (multivariate regression and panel) to estimate or determine causal consequences of variables. Causality is defined as the effect of a certain variable on another variable while keeping everything else constant. The multivariate regression model has a problem with omitted variables, and the second model, panel, attempts to solve this problem by eliminating any omitted variables' effects. Lastly, instrumental variables are introduced in order to make the variable being studied independent of all omitted variables. Students are introduced to rudimentary matrix algebra, including vectors, determinants and quadratics. In order to complete the assignments, the user will have to buy STATA statistical software. This course is offered through the Political Science Department of MIT in a lecture format.
'Quantitative Research Methods: Multivariate' OpenCourseWare includes lecture notes, a reading list, assignments and an exam. If you're interested in taking this free course, visit the multivariate analysis of numerical political science data course page.