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  • 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
    Method
  • 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
    Resource
  • 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.
    Resource
  • 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?
    Resource
  • Ushahidi

    Ushahidi is an open-source mapping and crowdsourcing tool that can be used by organizations to collect, manage and analyse crowdsourced info.
    Resource
  • Causal link monitoring

    Causal Link Monitoring (CLM) is an evaluation approach that combines implementation design and monitoring to support adaptive management of projects, helping project planners and managers to identify processes needed to achieve desired outcomes.
    Approach
  • Iterative design and monitoring for adaptive management: How causal link monitoring can help

    Development actors are embracing the concept and practice of adaptive management, using evidence to inform ongoing revisions throughout implementation.
    Blog
  • Discussion note: Complexity aware monitoring

    USAID’s Office of Learning, Evaluation and Research (LER) has produced a Discussion Note: Complexity-Aware Monitoring, intended for those seeking cutting-edge solutions to monitoring complex aspects of strategies and projects.  
    Resource
  • Causal Pathways introductory session: Causal link monitoring

    This session of the Causal Pathways Symposium 2023, by Heather Britt, introduced causal link monitoring, a method for integrating monitoring data and evaluation in order to address causality amid complexity.
    Resource
  • Causal link monitoring brief

    Causal Link Monitoring (CLM) integrates design and monitoring to support adaptive management of projects.
    Resource
  • Causal Pathways 2023 Symposium and 2024 introductory sessions

    This series of webinars was first presented at the Causal Pathways Symposium 2023, which focused on "connecting, learning, and building a shared understanding of the evaluation and participatory practices that make causal pathways more visible"
    Resource