Mr Jack Blumenau COL8.02 and Dr Indraneel Sircar COL8.02

This course is compulsory on the MPhil/PhD in Psychological and Behavioural Science, MSc in Political Science and Political Economy and MSc in Sociology (Research). This course is available on the Global MSc in Management, Global MSc in Management (CEMS MIM), Global MSc in Management (MBA Exchange), 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 Local Economic Development, MSc in Public Policy and Administration, 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.

MY452 is open to any and all post-grad students around the School who have already have a grounding in quantitative methods.

Students are required to have completed MY451 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. 

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.

Class exercises and homework can be carried out using the Stata, SPSS or R software, 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.