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LIDC

CANCELLATION POLICY

  • If you are unable to attend the course you may substitute, by prior arrangement and after notifying us, someone else from your organisation.
  • If you are unable to attend and unable or unwilling to transfer your place to someone else, we may accept the fee as payment of the fee for the next Evaluation course. Such a transfer will be on condition that we are informed in writing of your intentions four weeks prior to the originally booked event. Bookings can only be transferred once.
  • If you are unable to attend, and not in a position either to transfer your place to another person or to another event, then the following cancellation charges will apply:
  • 12-8 weeks before the course: 25% of the fee.
  • 8-4 weeks before the course: 50% of the fee.
  • 4-2 weeks before the course: 75% of the fee.
  • Less than 14 days before the course: 100% of the fee.
  • Please note that full payment is required for non-attendance on a booking that has been transferred.

If you have any further questions about our cancellation policy, please contact [email protected]

LIDC

SDG Wheel_Web

Data for development

Amount (£)

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Description

Making better use of data for sustainable development – new approaches to impact evaluation and evidence synthesis

The course will cover methods for the analysis of experimental, quasi-experimental and observational data. It will show how to rigorously evaluate the effects of interventions and policies exploiting natural experiments and quasi-experiments, and how to make best use of existing data to address bias. It will incorporate recent advances in statistical and econometric methods to answer the following questions: Complexity: how do we assess the impact of complex interventions when outcomes are affected by many factors at the same time? Equity: how do we assess impacts for small groups, such as vulnerable people, within a population? Generalisability: how do we transfer the evidence on the impact of interventions across contexts and address potential biases in the evidence base?

Hybrid short course with varying price - amend amount as per discount if applicable.
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