Name: Introduction to Generalised Linear Models
Start: 2018-06-13T10:00:00+01:00
End: 2018-06-13T13:00:00+01:00
Location: Lab A (room 912)

Introduction to Generalised Linear Models

Q-Step is a £19.5 million programme designed to promote a step-change in quantitative social science training. Over a five-year period from 2013, fifteen universities across the UK are delivering specialist undergraduate programmes, including new courses, work placements and pathways to postgraduate study. Expertise and resources will be shared across the higher education sector through an accompanying support programme, which will also forge links with schools and employers.

Glasgow Q Step Centre

Dr Brian Fogarty Lecturer in Quantitative Social Science
Introduction to Generalised Linear Models 
This short course serves as an introduction to Generalised Linear Models in the social sciences. Using R, we will examine the background of Maximum Likelihood Estimation, binary, ordered, unordered outcome, and count data regression models. The emphasis will be on the application of these regression models to social science data. Some basic knowledge of R is required (e.g. how to read in a data file and use basic commands).

Lab A (room 912)

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Introduction to Generalised Linear Models

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Introduction to Generalised Linear Models

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