Advanced Course on Impact Evaluation and Causal Inference

All 5 days only R15,000.00 (Excl. VAT) per delegate

About This Course

The science of impact evaluation is a rigorous field that requires thorough knowledge of the area of work, simple to complex study designs, as well as knowledge of advanced statistical methods for causal inference. Many programme funders and managers want to know whether their programmes have produced measurable impact. They want to be able to measure that impact and express it in numbers. The key focus of impact evaluation is attribution and causality – that the programme is indeed responsible for the observed changes reported. To achieve this, a major challenge is the possibility of selecting an “untouched” comparison group and using the appropriate statistical methods for inference.

Course Content


Day 1


Day 2


Day 3


Day 4


Day 5

Course outcomes

The course will teach participants the following:

The need for and culture of impact evaluation

Programmes, indicators, and logic models

What really is impact – efficiency versus effectiveness

Counterfactuals – looking for a suitable control

Experimental and quasi-experimental study designs

Research ethics in IE and design implications

Bias, causality, attribution and research validity in impact evaluation

Design and statistical methods for controlling for confounders

Statistical techniques for causal inference

Who Should Attend?

  • Epidemiologists
  • Biostatisticians
  • Programme managers
  • Programme funders
  • Mid-level to senior researchers
  • Postgraduate Students
  • Consultants and Programme technical experts


For more details about our services contact:

Dave Temane
Tel: +27 11 403 1411

Price Includes

  • Course attendance
  • Full refreshments: lunch
  • Welcome tea
  • Two breaks for tea including pastries
  • Course lecture notes and training manual
  • Complimentary parking
  • Certificate of attendance

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