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Impact Evaluation Methods (SOCS0017)

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.

Description

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% Fixed-time remote activity
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

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

Teaching and assessment

Mode of study
In person
Methods of assessment
100% Fixed-time remote activity
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

Last updated

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

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