Tarastats Statistical Consultancy

Impact evaluation workshop

Impact Evaluations

Impact evaluation studies are common in policy/program evaluations and in evidence-based policy making. This workshop presents cutting-edge statistical methodologies to be used with quantitative impact evaluation studies and the statistical thinking required for effective evaluation of such studies. Statistical topics covered in this workshop include the theory of causal inference, difference between randomised and non-randomised study designs and the role of propensity score methods in impact evaluation studies.

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About course

This two-day workshop is suitable for anyone who deals with impact evaluation studies, evidence-based studies, or would like to expand their statistical knowledge and statistical thinking skills to more advanced levels. As a prerequisite and to benefit the most out of the workshop, a basic knowledge of statistics, i.e., a completed undergraduate course of statistics, should be possessed.

Day 1
On the first day, we discuss a series of examples and required study designs in order to perform impact evaluations. We cover the theoretical foundation of quantitative impact evaluations: causal inference with observational study designs.

Day 2
On the second day, we discuss statistical methods and techniques to perform impact evaluations. Conversation is about combining quantitative and qualitative methods and techniques, but the focus is on how to perform a quantitative analysis of an impact evaluation study.

When and where

If you are interested in attending or hosting, please get in touch via info@tarastats.com or by filling in the contact form below.