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The University of Southampton

STAT6089 Evaluation and Monitoring

Module Overview

The aim of this module is 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.

Aims and Objectives

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

  • Understand and be able to apply broad principles to guide the choice between alternative statistical designs that can accommodate the evaluation of an intervention
  • Understand and be able to articulate the important role monitoring plays, both as a policy tool in its own right and as an aid to evaluation.


Alternative experimental and quasi-experimental designs for evaluation programmes and the principles underlying the choice between these designs • Data sources and research methods • Performance monitoring • Theoretical framework • Randomized controlled trials 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 • Regression adjustment and other analysis methods • Propensity score matching • Econometric methods of analysis

Learning and Teaching

Independent Study72
Total study time100

Resources & Reading list

Laboratory space and equipment required. Computing Laboratory with access to Excel, including Data Analysis Toolkit, and R

Ravallion M (2001). The Mystery of the Vanishing Benefits: An Introduction to Impact Evaluation. World Bank Economic Review. ,15 , pp. 115-40.

J.D. Angrist and J.-S. Pischke (2015). Mastering Metrics: the Path from cause to Effect. 

The Magenta Book: Guidance Notes for Policy Evaluation and Analysis, background paper 7 ‘ Why do social experiments? Experiments and quasi-experiments forevaluating government policies and programmes’.

J.D. Angrist and J.-S. Pischke (2009). Mostly Harmless Econometrics: an Empiricist's Companion. 

Research Methods for Policy Evaluation.



MethodPercentage contribution
Coursework assignment(s)  (4000 words) 100%


MethodPercentage contribution
Coursework assignment(s)  (4000 words) 100%

Repeat Information

Repeat type: Internal & External

Linked modules

Pre-requisite: STAT6083 or STAT6095 or STAT6117


Costs associated with this module

Students are responsible for meeting the cost of essential textbooks, and of producing such essays, assignments, laboratory reports and dissertations as are required to fulfil the academic requirements for each programme of study.

In addition to this, students registered for this module typically also have to pay for:

Approved Calculators

Candidates may use calculators in the examination room only as specified by the University and as permitted by the rubric of individual examination papers. The University approved model is Casio FX-570 This may be purchased from any source and no longer needs to carry the University logo.


You will be expected to provide your own day-to-day stationery items, e.g. pens, pencils, notebooks, etc.


Where a module specifies core texts these should generally be available on the reserve list in the library. However due to demand, students may prefer to buy their own copies. These can be purchased from any source. Some modules suggest reading texts as optional background reading. The library may hold copies of such texts, or alternatively you may wish to purchase your own copies. Although not essential reading, you may benefit from the additional reading materials for the module.

Please also ensure you read the section on additional costs in the University’s Fees, Charges and Expenses Regulations in the University Calendar available at

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