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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.
    Resource

  • 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.
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  • Data collection & analysis video

    This video guide from UNICEF looks at the issues involved  in choosing and using data collection and analysis methods for impact evaluations.  
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  • Dabbling in the data

    The guide and toolkit, Dabbling in the Data, includes detailed instructions for teams to use to delve more deeply into quantitative and qualitative data.
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  • Eval C3

    EvalC3 is an organised set of tools for developing, exploring and evaluating predictive models of expected outcomes. This resource and the following information was contributed by  Rick Davies. 
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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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  • Big data for development: challenges & opportunities

    This white paper by UN Global Pulse examines the use of Big Data in development contexts.
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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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  • 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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  • Geospatial analysis in evaluation

    This blog from the Independent Evaluation Group (IEG) highlights the role of geospatial data in understanding change in phenomena, and answering questions of relevance and effectiveness of development interventions.
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  • BetterEvaluation FAQ: How do you go about analyzing data that has been collected from respondents via a questionnaire?

    In this edition of the BE FAQ blog, we address a question that comes up quite often: How do you go about analysing data that has been collected from respondents via a questionnaire?
    Blog

  • 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…
    Resource

  • Logframe

    Logframes are a systematic, visual approach to designing, executing and assessing projects which encourages users to consider the relationships between available resources, planned activities, and desired changes or results.
    Method

  • Word cloud

    Word clouds or tag clouds are graphical representations of word frequency that give greater prominence to words that appear more frequently in a source text.
    Method

  • UNICEF webinar: Overview of data collection and analysis methods in Impact Evaluation

    What is the value of using mixed methods in impact evaluation? What methods and designs are appropriate for answering descriptive, causal and evaluative questions?
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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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  • 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.
    Resource

  • 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

  • A summary of the theory behind the LFA method

    This paper from the Swedish International Development Cooperation Agency (Sida) has been designed to support staff in implementing the logical framework approach in project planning and design.
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  • Qualitative research & evaluation methods: Integrating theory and practice

    The fourth edition of Michael Quinn Patton's Qualitative Research & Evaluation Methods Integrating Theory and Practice, published by Sage Publications, analyses and provides clear guidance and advice for usi
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  • From narrative text to causal maps: QuIP analysis and visualisation

    This paper focuses on analysing raw data to produce useful visual summaries, describing in detail the processes involved in a QuIP analysis.
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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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  • 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。
    Resource

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