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.
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 ÌýÌýÌý
Postgraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In person
- Methods of assessment
-
100%
Exam
- 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
Intended teaching term:
Term 2 ÌýÌýÌý
Postgraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In Person
- Methods of assessment
-
100%
Exam
- 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
Last updated
This module description was last updated on 19th August 2024.
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