杏吧论坛

Dr Indraneel Sircar COL7.04 and Dr Daniele Fanelli COL7.07

This course is available on the Global MSc in Management, Global MSc in Management (CEMS MiM), Global MSc in Management (MBA Exchange), MPhil/PhD in Demography/Population Studies, MPhil/PhD in Psychological and Behavioural Science, MSc in Applied Social Data Science, MSc in Comparative Politics, MSc in Conflict Studies, MSc in EU Politics, MSc in EU Politics (杏吧论坛 and Sciences Po), MSc in Gender (Research), MSc in Human Geography and Urban Studies (Research), MSc in International Migration and Public Policy, MSc in Local Economic Development, MSc in Political Science and Political Economy, MSc in Public Administration and Government (杏吧论坛 and Peking University), MSc in Public Policy and Administration, MSc in Social Research Methods and MSc in Urban Policy (杏吧论坛 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.

Exercises from the weekly computer classes can be submitted for feedback.

A Agresti & B Finlay, Statistical Methods for the Social Sciences. A course pack will be available for download online. Additional reading will be recommended.

Exam (100%, duration: 2 hours) in the summer exam period.

Two hour unseen examination in ST. Students are permitted to bring a limited quantity of written notes into the examination.