Key information
- Faculty
- IOE
- Teaching department
- Social Research Institute
- Credit value
- 15
- Restrictions
-
This module is open to all students, but priority will be given to students in the Social Research Institute. Students must have completed Introduction to Regression Analysis in the autumn term or have equivalent experience. If you wish to be considered for an exemption from this 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 grade achieved. Please indicate that 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 interdisciplinary module introduces students to Impact Evaluation Methods and their use in the social sciences. The module will emphasise the application of quasi-experimental evaluation methods in the 'real world', and its potential impact upon government policy. Students will learn about key elements of experimental and quasi-experimental methods, and be able to critically evaluate their strengths and weaknesses.
The module has a high practical element, with students regularly analysing data. Topics to be covered include: designing a randomised control trial, regression methods for causal analysis, propensity score matching, regression discontinuity designs, difference-in-difference, instrumental variables and cost-benefit analyses. Upon completing the module, students will be able to design an effective experimental or quasi-experimental impact evaluation, and understand how the results can influence public policy.ÌýÌý
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
-
19
- Module leader
-
Professor Lorraine Dearden
- 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
-
Professor Lorraine Dearden
- Who to contact for more information
- mscsrm@ucl.ac.uk
Last updated
This module description was last updated on 19th August 2024.
Ìý