MY452 Half Unit
Applied Regression Analysis
This information is for the 2015/16 session.
Teacher responsible
Dr Benjamin Lauderdale Col.8.10 and Dr Dominik Hangartner Col.8.03
Availability
This course is compulsory on the MPhil/PhD in Social Psychology, MSc in Political Science and Political Economy and MSc in Sociology (Research). This course is available on the MRes Political Science, MRes/PhD Political Science (Qualitative stream B), MRes/PhD Political Science (Quantitative stream A), MSc in Comparative Politics, MSc in EU Politics, MSc in EU Politics (LSE and Sciences Po), MSc in Gender (Research), MSc in International Health Policy, MSc in International Health Policy (Health Economics), MSc in Local Economic Development, MSc in Management, MSc in Management (CEMS MIM), MSc in Public Policy and Administration, MSc in Social Anthropology (Research), MSc in Social Research Methods and MSc in Urban Policy (LSE and Sciences Po). This course is available with permission as an outside option to students on other programmes where regulations permit.
Pre-requisites
Students must have completed CP-MY451.
Students are required to have completed MY451 or an equivalent level statistics course
Course content
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 student’s choice.
Teaching
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 MY452M which is taught in Michaelmas Term, or MY452L which is taught in Lent Term.
There will be no lectures or computer classes in Week 6 of term.
Formative coursework
Exercises from the weekly computer classes can be submitted for feedback.
Indicative reading
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.
Assessment
Exam (100%, duration: 2 hours) in the main exam period.
A two-hour open book unseen examination in ST.
Key facts
Department: Methodology
Total students 2014/15: Unavailable
Average class size 2014/15: Unavailable
Controlled access 2014/15: No
Lecture capture used 2014/15: Yes (MT)
Value: Half Unit
