Evaluation and Monitoring

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

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

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.