regression

La corrélation et l’analyse de régression

If you use these materials, please include the following citation.
Halina Sapeha, Chris Lawrence, 2013, "La corrélation et l’analyse de régression", http://opossem.org/content/la-corr-lation-et-l-analyse-de-r-gression
Type of Material: 
Lecture Notes and Slides
Creative Commons License: 
CC BY-NC-SA 3.0
Level: 
grad
Level: 
undergrad

La régression peut être utilisée pour montrer qu’une variable indépendante provoque un changement dans une variable dépendante.

Co-Author(s): 

Introductory Lecture on Regression

If you use these materials, please include the following citation.
Meredith Rolfe, , 2013, "Introductory Lecture on Regression", http://opossem.org/content/introductory-lecture-regression
Type of Material: 
Lecture Notes and Slides
Creative Commons License: 
CC BY-NC-SA 3.0
Level: 
grad
Level: 
undergrad

This is a very basic lecture intended for large courses.  It provides a straightforward introduction to linear regression to students without much background in mathematics. Examples are drawn from management, and relatively heavy use is made of instant response voting technology.  Note that the color coding is intended to help students focus their attention: red is "need to know" while green is "advanced, so don't worry if it doesn't make sense."  (The first file below includes only placeholders for the IRT questions in case of compability issues, the second includes the TurningPoint slides.)

POLS 509: The Linear Model - Syllabus, Lecture Videos, and R Code

If you use these materials, please include the following citation.
Justin Esarey, , 2012, "POLS 509: The Linear Model - Syllabus, Lecture Videos, and R Code", http://opossem.org/content/pols-509-linear-model-syllabus-lecture-videos-and-r-code
Type of Material: 
Lecture Notes and Slides
Creative Commons License: 
CC BY-NC-SA 3.0
Level: 
grad
Level: 
undergrad

 

A syllabus and set of lecture videos for a graduate/advanced undergraduate course on data analysis using linear models and least-squares methods. 

This course covers basic techniques in quantitative political analysis. It introduces students to widely used procedures for regression analysis, and provides intuitive, applied, and formal foundations for regression and more advanced methods treated later in the course sequence. This course uses calculus and matrix algebra rather intensively. The course covers model assumptions and techniques for addressing violations of those assumptions (e.g., heteroskedasticity, autocorrelation, multicollinearity), as well as issues of model specification, functional forms, measurement error, and endogeneity.

Syllabus: http://userwww.service.emory.edu/~jesarey/509.pdf
Lecture Videos: http://www.youtube.com/playlist?list=PL0FC72005F8D3F7F2&feature=view_all
R code and PDF notes: http://userwww.service.emory.edu/~jesarey/teaching.htm

Advanced Quantitative Methods

If you use these materials, please include the following citation.
Chris Lawrence, , 2011, "Advanced Quantitative Methods", http://opossem.org/content/advanced-quantitative-methods
Type of Material: 
Syllabus
Creative Commons License: 
CC BY-NC-SA 3.0
Level: 
grad

Syllabus for a graduate-level quantitative methods course for political science, sociology, and public administration using Berman's CQ Press Essential Statistics book and lab manual.  Follow-on course to the Social Inquiry course with syllabus posted here.

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