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  • Five misunderstandings about case-study research

    This article, written by Bent Flyvbjerg (Aalborg University, Denmark) examines five common misunderstandings about case-study research.
    Resource
  • Measuring what matters (a thinking tool)

    Measuring what matters is a decision-support tool. It helps users select data collection methods based on:
    Resource
  • Decision making matrix - Word template

    A decision making matrix can be useful to summarise decision makers and types of decisions in a matrix which can be referred to when developing and implementing evaluation processes.
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  • Case Study Research: Design and Methods

    Providing a complete portal to the world of case study research, the Fifth Edition of Robert K. Yin’s bestselling text offers comprehensive coverage of the design and use of the case study method as a valid research tool.
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  • Formal meeting processes

    Studies have demonstrated that attendance at meetings and conferences, planning discussions within the project related to use of the program evaluation, and participation in data collection foster feelings of evaluation involvement among st
    Method
  • 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.  
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  • 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.
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  • 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"
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  • Causal link monitoring

    Causal link monitoring (CLM) is an approach to designing and implementing monitoring, evaluation and learning (MEL) systems that prioritise information for managing adaptively in complexity.
    Approach