aes24 International Evaluation Conference

Authors: Harry Greenwell (Australian Centre for Evaluation), Peter Bowers (Australian Centre for Evaluation), Vera  Newman (Australian Centre for Evaluation)

This session will provide an overview of some of the main quantitative methods for identifying the causal impacts of programs and policies, while emphasising the importance of mixed-methods that also incorporate program theory and qualitative research. It is intended for people unfamiliar with quantitative evaluation methods who would like to develop their understanding of these methods in order to better contribute to theory-based, mixed method impact evaluations.

The session will cover 3 of the most common quantitative approaches to separating causality from correlation: i) mixed-method RCTs, ii) discontinuity design, and iii) matching. Each method will be explained with real examples. The session will also cover: the benefits and limitations of each method, and considerations for determining when such methods might be suitable either on their own, or as a complement to other evaluation methods or approaches.

Special attention will be given to the ethical considerations inherent in the choice of impact evaluation method, including issues related to consent, fairness, vulnerability, and potential harm.

After attending this session, participants will have a better understanding of: how program theory can inform the design of quantitative impact evaluations, including through mixed-method impact evaluations; and how to identify when certain quantitative impact evaluation methods may be suitable for an evaluation.