Term 2 Week 9
Learning objectives:
- Understand the principles of multivariate regression
- Understand how regression, correlation and ANOVA are related
- Learn about the different tests to assess model fit (R-Squared, and Adjusted R-Squared)
- Learn how to perform a multivariate regression in Stata
Lecture:
- Homework week 19: Read the required literature (see below)
- Required reading week 19:
- Studenmund, A. H. 2006. Using Econometrics: A Practical Guide. Fifth ed. Boston: Pearson. Sections 2.2.-2.6. and Chapter 5
- Agresti, A. and B. Finlay (2008) Statistical Methods for the Social Sciences, 4th ed. Upper Saddle River, NJ: Prentice Hall. Chapter 11
- Lomax, Richard G. and Debbie L. Hahs-Vaughn. 2012. An Introduction to Statistical Concepts, 3rd edition. Routledge. Sections 18.1.-18.6.
- Studenmund, A. H. 2006. Using Econometrics: A Practical Guide. Fifth ed. Boston: Pearson. Sections 2.2.-2.6. and Chapter 5
Seminar:
- Homework week 19: Read the required literature (see below)
- Required reading week 19:
- Acock, Alan C. 2014. A Gentle Introduction to Stata, Fourth Edition, Stata Press. Chapter 10
- Hamilton, Lawrence. 2008. Statistics with Stata - International Edition. Stata Press
- Acock, Alan C. 2014. A Gentle Introduction to Stata, Fourth Edition, Stata Press. Chapter 10
Recommended reading for week 19:
- Kellstedt, Paul M. and Guy D. Whitten. 2013. The Fundamentals of Political Science Research, 2nd edition. Cmbridge University Press. Chapters 9 and 10