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Advanced Quantitative Methods (SOCS0015)

Key information

Faculty
IOE
Teaching department
Social Research Institute
Credit value
15
Restrictions
Priority, for places, will be given to students in the department of Social Science. Students must have completed SOCS0053 Introduction to Regression Analysis in the autumn term or have equivalent experience. If you wish to be considered for an exemption from the pre-requisite, please email Neus Bover-Fonts (n.bover-fonts@ucl.ac.uk) with your request, listing any relevant modules you have taken previously and grades achieved. Please indicate if you are a student on the MSc Social Research Methods or MSc Social Policy and Social Research programme.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module builds on Introduction to Regression Analysis (SOCS0053) and covers more advanced aspects of regression analysis. The module starts by briefly revisiting OLS regression and subsequently introduces students to regression models for categorical outcome variables. After this, the focus shifts to modelling techniques that are suitable for more complex data structures, especially multilevel and panel data analysis. The module finishes with an introduction to graphical causal models, which offer an intuitive way of thinking about the correct specification of regression models. Throughout the module, we consider practical applications of the techniques learnt using Stata and R.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 听听听 Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
25% In-class activity
75% Fixed-time remote activity
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
0
Module leader
Dr Dingeman Wiertz
Who to contact for more information
mscsrm@ucl.ac.uk

Intended teaching term: Term 2 听听听 Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
25% In-class activity
75% Fixed-time remote activity
Mark scheme
Letter Grade

Other information

Number of students on module in previous year
36
Module leader
Dr Dingeman Wiertz
Who to contact for more information
mscsrm@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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For a list of modules related to climate change as well as social and environmental sustainability at 果冻影院, type 'climate' or 'sustainability' into the search. Visit Sustainable 果冻影院 for information on extra-curricular activity on sustainability.

Important information

The catalogue has been updated with key information about the modules that will run during the 2024/25 academic session. Current and prospective students can browse through the catalogue to consider possible module choices for the coming year.

Please note,听information in the catalogue is听subject to change as teaching and assessment arrangements for 2024/25 may need to be adjusted in line with the University's Feedback and Assessment principles and operating model.

Centrally managed exam durations will be provided on students' individual exam timetables. Arrangements for locally managed exams and in-class activity will be confirmed by the teaching department for the module.

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