Module overview
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.
Syllabus
Learning and Teaching
Teaching and learning methods
| Type | Hours |
|---|---|
| Independent Study | 60 |
| Teaching | 15 |
| Total study time | 75 |
Resources & Reading list
General Resources
Laboratory space and equipment required. Computing Laboratory with access to Excel, including Data Analysis Toolkit, and R
Internet Resources
Research Methods for Policy Evaluation.
Journal Articles
Ravallion M (2001). The Mystery of the Vanishing Benefits: An Introduction to Impact Evaluation. World Bank Economic Review, 15(1), pp. 115-40.
Textbooks
J.D. Angrist and J.-S. Pischke (2009). Mostly Harmless Econometrics: an Empiricist's Companion. Oxford: Princeton University Press.
J.D. Angrist and J.-S. Pischke (2015). Mastering Metrics: the Path from cause to Effect. Oxford: Princeton University Press.
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Exam | 100% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
| Method | Percentage contribution |
|---|---|
| Exam | 100% |
Repeat
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
| Method | Percentage contribution |
|---|---|
| Exam | 100% |