This is a class in applied single equation regression analysis. It will be assumed that students have mastered the topics of basic statistics. The first topic is a review of the single equation OLS regression model in bivariate and multivariate applications. The emphasis would be developing an understanding of the logic of OLS regression, understanding of the parameter estimates they generate, and understanding the use of statistical tests to assess such models. The second topic will be a review of the assumptions underlying the OLS regression model. The emphasis throughout will be on the substantive interpretation of regression results.
Gain an understanding of the logic of OLS regression
Learn the assumptions underlying the OLS regression model
Understand how to interpret OLS regression using SPSS
Learn how to interpret and report the results of OLS regression
Het (voorlopig) rooster staat op de eerste pagina van de e-Gids.
Workgroups including computer sessions
Midterm exam = take home exam (20%)
Final group paper (30%)
Final exam (50%)
Yes, use of BB.
‘Multiple Regression: A Primer” by Paul D. Allison, SAGE Publications.
Exchange and Study Abroad students, please see the “Prospective students website”:
http://www.prospectivestudents.leiden.edu/programmes/study-abroad/ for information on how to apply.