MY552 Half Unit
Applied Regression Analysis
This information is for the 2016/17 session.
Dr Benjamin Lauderdale Col.8.10 and Prof Kenneth Benoit Col.8.11
Research students where programme regulations allow. Students are required to have completed MY451, MY551 or an equivalent level statistics course.
Students must have completed CP-MY451 and Introduction to Quantitative Analysis (MY551).
Students are required to have completed MY451, MY551 or an equivalent level statistics course.
The course is designed for students with a good working knowledge of elementary descriptive statistics; sampling distributions; one and two sample tests for means and proportions; correlation and the linear regression model with one or more predictor variables. The course is concerned with deepening the understanding of the generalized linear model and its application to social science data. The main topics covered are linear regression modelling and binary, multinomial and ordinal logistic regression. Class exercises and homework will be carried out using the Stata or SPSS package, according to the students choice.
20 hours of lectures and 10 hours of computer workshops in the MT. 20 hours of lectures and 10 hours of computer workshops in the LT.
This course is given twice per session, starting in the first week of each of the MT and LT. Students must either register for MY552M which is taught in Michaelmas Term, or MY552L which is taught in Lent Term.
There will be no lectures or computer classes in Week 6 of term.
Class exercises and homework will be carried out using the Stata or SPSS package, according to the student’s choice.
A Agresti & B Finlay, Statistical Methods for the Social Sciences. A course pack will be available for download online and can be purchased as a hard copy. Additional reading will be recommended.
Exam (100%, duration: 2 hours) in the main exam period.
A two-hour open book unseen examination in ST.
Total students 2015/16: Unavailable
Average class size 2015/16: Unavailable
Value: Half Unit