Description
This is a class in applied single equation ordinary least squares (OLS) 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.
Learning objectives
Students will have acquired knowledge of the logic of OLS regression and the assumptions underlying the OLS regression model
Students will be able to interpret and report the results of OLS regression
Students will be able to apply OLS regression to public administration research problems in tutorial assignments and a final group paper
Timetable
Methods of instruction
This course consists of lectures and tutorials.
Method of assessment
The following assessments will be used:
Take-home midterm exam (20%)
Final group paper (30%)
Multiple-choice final exam (50%)
Students must receive a sufficient grade (5.5 or higher) on all three graded components to pass the course.
The following re-take provisions apply:
One additional take-home midterm exam will be provided in January for students who do not pass the initial take-home midterm exam
If the group assignment receives an insufficient grade, the group may resubmit this assignment once. If the group does not submit the initial group assignment before the deadline, they may submit it after the deadline but will not have the opportunity to retake this assignment if they receive an insufficient grade.
A retake of the final exam will be given in January.
Blackboard
Yes – 1 October 2014.
Other course materials/literature
‘Multiple Regression: A Primer’ by Paul D. Allison, SAGE Publications.
Registration
Registration for every course and exam in USIS is mandatory. For courses, registration is possible from four weeks up to three days before the start of the course.
For exams, registration is possible from four weeks up to ten days before the date of the examination.
Contact
Dhr Brendan J. Carroll (Schouwburgstraat, B1.07), office hours by appointment, e-mail: b.j.carroll@cdh.leidenuniv.nl