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  • Sampling - Yale University

    This course paper defines three different simplified sampling options.Contents Simple random sampling Stratified random sampling Multistage random sampling
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  • UNICEF: Statistics and Monitoring

    In collaboration with a wide range of partners, UNICEF gathers evidence on the situation of children and women around the world.
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  • WISE: Web Interface for Statistics Education

    WISE's website organises a large amount of statistics resources available on the web into one central place.
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  • Discussion Paper: Innovations in Monitoring and Evaluation

    This discussion paper produced by the United Nations Development Programme discusses various innovations that are occurring in M&E, and the advantages and disadvantages of these methods.
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  • Excel for evaluation

    This website, created by Ann Emery, provides a series of short videos on using Microsoft Excel to analyze data.
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  • The analysis of covariance (ANCOVA)

    This slide show provides an overview of this option and lists the advantages and disadvantages of its use. There are also a number of examples of covariance and linear regression equations. 
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  • 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.
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  • L’évaluation en contexte de développement

    Ce manuel est destiné aux personnes souhaitant s’initier à l’évaluation de programmes, en particulier en contexte de développement et de coopération internationale. À cet égard, tout en déroulant le fil d’une démarche évaluative classique, il présente…
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  • Descriptive and multivariate statistics

    In this chapter from Exploring Crime Analysis Readings on Essential Skills, the key principles of descriptive and multivariate statistics are demonstrated so as to provide practitioners with the basic
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  • Steering group

    Evaluation management often involves a steering group, which makes the decisions about the evaluation.
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  • Sampling for surveys: Stratified random sampling

    These instructional videos provide a guide and examples of how to apply stratified random sampling.
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  • Sampling for surveys: Clustered random sampling

    These instructional videos provide a guide and examples of how to apply clustered random sampling.
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  • Sampling for surveys: Sample size calculations

    This instructional video explains how to calculate a sample size for a survey.
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  • Who counts? The power of participatory statistics

    This workshop by Jeremy Holland for the Institute of Development Studies was streamed live on May 1st, 2014.
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  • Frequency distribution tables

    This webpage from Statistics Canada demonstrates how to construct four different types of frequency distribution tables. Each example comes with clear instructions and a detailed example of the final product.
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  • Sampling for surveys: Simple random sampling

    These instructional videos introduce the topic of sampling for surveys and provide a guide and examples of how to apply simple random sampling.
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  • 6: Sample size and power calculations

    This presentation explores methods for identifying the right sample size for randomized evaluations so that results are defendable.
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  • Outcome harvesting

    Outcome Harvesting collects (“harvests”) evidence of what has changed (“outcomes”) and, working backwards, determines whether and how an intervention has contributed to these changes.
    Approach
  • 52 weeks of BetterEvaluation: Week 16: Identifying and documenting emergent outcomes of a global network

    Global voluntary networks are complex beasts with dynamic and unpredictable actions and interactions. How can we evaluate the results of a network like this? Whose results are we even talking about?
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  • Example outcome journal template

    This template is based on the original Outcome Mapping guidance, incorporating elements from Outcome Harvesting (e.g. significance) and allowing tagging to particular progress markers (rather than listing them all as the original does).
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  • Causal Pathways introductory session: Outcome harvesting for exploring causal pathways

    This session of the Causal Pathways Symposium 2023, by Carlisle Levine and Hippolyt Pul, introduces outcome harvesting, a method to collect evidence of what has changed and whether and how an intervention has contributed to these changes.
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  • Outcome harvesting

    This 27-page brief, written by Ricardo Wilson-Grau and Heather Britt, introduces the key concepts and approach used by Outcome Harvesting (published by the Ford Foundation in May 2012; revised in Nov 2013).
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  • Cosecha de alcances

    Cosecha de Alcances es una herramienta centrada en la utilización y altamente participativo que permite a evaluadores, donantes y gerentes de proyectos y programas identificar, formular, verificar y dar sentido a los alcances en que han inf
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  • Retrospective 'outcome harvesting': Generating robust insights

    This paper describes the use of the Outcome Harvesting approach to evaluate a global voluntary network.
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  • 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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  • Cases in outcome harvesting

    This report from The World Bank documents the pilot of a program that examines the use of outcome harvesting and the Bank's results management approach to understand how change happens in complex environments.
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  • 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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