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  • 9 free books for learning data mining & data analysis

    This list compiled by Alex Ivanovs brings together a range of books aimed at both beginners and those who are looking to fill in gaps in their knowledge.
    Resource
  • Missing link: Sustained and emerging impact evaluation

    This blog post by Jindra Cekan and Laurie Zivetz of Valuing Voices discusses the need for post-project impact evaluations.
    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
    Method
  • Data mining

    Data mining is the systematic process of discovering patterns in data sets through the use of computer algorithms.
    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
  • An introduction to data mining

    This webpage, produced by Kurt Thearling, provides an extensive overview of data mining and its applications. The page includes specific examples and links to a tutorial and research papers on data mining.
    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