Evaluation and Monitoring (an MDataGov module)

Date:

04/05/2026 - 08/05/2026

Organised by:

University of Southampton

Presenter:

Dr Yves Berger

Level:

Advanced (specialised prior knowledge)

Contact:

Helen Davies
helen.davies@soton.ac.uk

Map:

View in Google Maps  (SO17 1BJ)

Venue:

University of Southampton
Highfield Campus
University Road
Southampton

Description:

This module is part of a series of short (CPD - Continuous Professional Development) courses in Social/Official statistics delivered at the University of Southampton - Highfield campus. 

Evaluation and Monitoring aims to develop students' understanding of the nature of studies to monitor and evaluate intervention programmes, using examples from Government and other related areas. There is a particular focus on the contribution of statistical methods in both the design and analysis of such studies. The aim of the course is to present alternative experimental and quasi-experimental designs for evaluation programmes and the principles underlying the choice between these designs. In this regard, the main topics will include data sources and research methods, performance monitoring, theoretical framework, and randomized controlled trials. This course also aims to discuss general statistical methods that can be used in the analysis of data devised from such designs, in particular for the estimation of programme effects, allowing for potential confounding factors. Methods will include regression adjustment and other analysis methods, propensity score matching, and econometric methods of analysis.  Lectures will be complemented with exercise sessions and computer workshops in R.

For more information see: Evaluation and Monitoring | STAT6089 | University of Southampton

Pre-requisites

Previous knowledge of Regression methods is assumed. Typically, students would be familiar with the linear and logistic regression models. For an example of syllabus for suitable prerequisite, see: Regression Modelling | STAT6095 | University of Southampton

Registration

Registration is by application which should be submitted at least one month before the start of the course. For further information about the application process, please get in touch with Helen Davies at helen.davies@soton.ac.uk

Assessment

This course can be taken with or without assessment. The latter offers the possibility of accumulation of credits for the MSc in Data Analytics for Government https://www.southampton.ac.uk/courses/data-analytics-for-government-masters-msc

Cost:

£1,000

Website and registration:

Register for this course

Region:

South East

Keywords:

Experimental Research , Randomized Control Trials (RCT), Quasi-Experimental Research, Evaluation Research, Regression Methods, Econometrics, R


Related publications and presentations from our eprints archive:

Experimental Research
Randomized Control Trials (RCT)
Quasi-Experimental Research
Evaluation Research
Regression Methods
Econometrics
R

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