Doctoral Seminar in Research Methods (Quantitative Research) OpenCourseWare: A Free MIT Doctoral Level Social Science Course

Published Jan 15, 2009

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'Doctoral Seminar in Research Methods - II' is the second in series of courses on research methods offered by Massachusetts Institute of Technology (MIT) Sloan School of Management. This graduate-level course explores widely-used techniques for quantitative research.

Doctoral Seminar in Research Methods - II: Course Specifics

Degree Level Free Audio Video Downloads
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Doctoral Seminar in Research Methods - II: Course Description

Building on the theories explored in the Research Methods I class, 'Doctoral Seminar in Research Methods - II' looks at the actual techniques used in quantitative research. These include counting models, logit/probit models, pooled cross-section techniques and event history models. Through readings and assignments, students learn to use and apply statistical methods in their own graduate-level or professional research. The course will allow students to review scholarly articles that make use of the quantitative research methods taught in class. Professor Jesper Sorensen of MIT has put together an extensive reading list grouped into themes, such as ordinary least squares regression, models for binary outcomes and concepts of data structures and event history analysis. Students are encouraged to familiarize themselves with STATA data analysis and statistical software. This course is offered through the MIT Sloan School of Management and is intended for graduate students interested in making use of quantitative research methods.

This OpenCourseWare includes an extensive reading list and descriptions of assignments. To download the course materials, visit the doctoral seminar in quantitative research methods course page.

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