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  • Participatory video and the most significant change. A guide for facilitators

    The toolkit is designed to support you in planning and carrying out evaluations using participatory video (PV) with the most significant change (MSC) technique, or PVMSC for short.
    الموارد

  • 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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  • Strategy development: Most significant change (MSC)

    This guide to the Most Significant Change approach, by the Overseas Development Institute (ODI), provides an overview, a detailed description of the process, and an example of the technique in action.
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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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  • 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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  • International advocacy evaluation community of practice's webinar

    In this webinar from the International Advocacy Evaluation Community of Practice demonstrates how Most Significant Change and Participatory Video were used to e
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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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  • Choices about voices

    In this third blog in the participation in evaluation series, Irene Guijt and Leslie Groves share frameworks to approach and make decisions about the level of stakeholder involvement during different evaluation stages.
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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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  • 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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  • Using Most Significant Change to measure impact

    Evaluators often struggle to measure impact in cases where using an experimental design is not feasible.
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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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  • Most significant change: Learning to learn

    This webpage from the South Australian Government's Learning to Learn (L2L) program offers an overview of the study and practice of the Most Significant Change (MSC) approach.
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  • The most significant change technique

    This paper from the Asian Development Bank (ADB) outlines the process for using Most Significant Change in evaluation. It provides a step by step process that can be followed to ensure its effective implementation.
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  • Most significant change

    The Most Significant Change (MSC) approach involves generating and analysing personal accounts of change and deciding which is the most significant – and why.
    Approach

  • 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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  • The 'Most Significant Change' technique - A guide to its use

    Essential reading for anyone seeking to use the 'Most Significant Change' (MSC) technique.
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  • Técnica del “Cambio Más Significante” (MSC, por sus siglas en inglés) - Guía para su uso

    La técnica del cambio más significante (MSC, por sus siglas en inglés) es una forma de monitoreo y evaluación participativa.
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  • モスト・シグニフィカント・チェンジ （MSC）手法

    モスト・シグニフィカント・チェンジ(MSC)手法は、参加型モニタリング・評価手法の一つである。 記録すべき変化の決定やデータ分析の過程に、多くの利害関係者（ステーク ホルダー）が関与することから、参加型と言える。また、プログラム・サイクルの全工程 で実施され、プログラムを実施管理するうえで有効な情報を提供することから、モニタリ ング手法と言える。さらに、プログラム全体の業績を評価するうえで有用であり、インパ クトや効果に関する情報を提供してくれる。
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