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  • Adapting evaluation in the time of COVID-19 - Part 1: Manage

    Organisations around the world are quickly having to adapt their programme and project activities to respond to the COVID-19 pandemic and its consequences. We’re starting a new blog series to help support these efforts.
    Blog
  • Adapting evaluation in the time of COVID-19 — Part 3: Frame

    Evaluation needs to respond to the changes brought about by the Covid-19 pandemic.  As well as direct implications for the logistics of collecting data and managing evaluation processes, the pandemic has led to rapid changes
    Blog
  • Adapting evaluation in the time of COVID-19 – Part 4: Describe

    We’re continuing our series, sharing ideas and resources on ways of ensuring that evaluation adequately responds to the new challenges during the pandemic.
    Blog
  • Regression discontinuity

    Regression Discontinuity Design (RDD) is a quasi-experimental evaluation option that measures the impact of an intervention, or treatment, by applying a treatment assignment mechanism based on a continuous eligibility index which is a varia
    Método
  • Quasi-experimental methods for impact evaluations

    This video lecture, given by Dr Jyotsna Puri for the Asian Development Bank (ADB) and the International Initiative for Impact Evaluation (3ie), demonstrates how the use of quasi-experimental methods can circumvent the challenge of creating
    Recurso
  • Adapting evaluation in the time of COVID-19 — Part 2: Define

    The Covid-19 pandemic has led to rapid changes in the activities and goals of many organisations, whether these relate to addressing direct health impacts, the consequential economic and social impacts or to the need to change the way thing
    Blog
  • Quasi-experimental design and methods

    This guide, written by Howard White and Shagun Sabarwal for UNICEF looks at the use of quasi-experimental design and methods in impact evaluation.
    Recurso
  • UNICEF webinar: Quasi-experimental design and methods

    What is the main difference between quasi-experiments and RCTs? How can I measure impact when establishing a control group is not an option?
    Recurso