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  • Developmental evaluation: Diagnostic checklist

    This checklist aims to help users assess whether Developmental Evaluation is a good fit for your situation.
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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 using a range of differ
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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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  • Some nuts and bolts questions about coding

    This guest blog by Helen Marshall springs from discussions of the Qualitative Interest Group (QIG) that Helen coordinates. QIG meets monthly in Melbourne Australia to discuss issues around researching with qualitative data. QIG members incl
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  • Institutional history

    An institutional history (IH) is a narrative that records key points about how institutional arrangements – new ways of working – have evolved over time and have created and contributed to more effective ways to achieve project or programme
    Method
  • Evaluation report checklist

    This checklist was developed by drawing upon and reflecting on The Program Evaluation Standards which were created for the Joint Committee on Standards for Educational Evaluation, 1994.  
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  • Evaluation contract checklist

    This checklist is designed to help evaluators and clients identify key contractual issues that require agreement before an evaluation can commence.
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  • An accountability framework for technological innovation

    This brief provides a range of recommendations to support organisations that are conducting research and design (R & D) to be more accountable.
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  • Community scorecard approach for performance assessment - ProNet North's experience

    This WaterAid Ghana Briefing Paper, outlines ProNet North’s experience of using the Community Scorecard Approach to assess performance.
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  • Evaluation plans and operations checklist

    This checklist from the Evaluation Checklists Project provides a guide to those interested in conducting a preliminary, formative metaevaluation.
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  • Thematic coding

    Thematic coding is a form of qualitative analysis that involves recording or identifying passages of text or images that are linked by a common theme or idea allowing you to index the text into categories and therefore establish a “framewor
    Method
  • CIPP evaluation model checklist

    Stufflebeam provides an explanation of what CIPP is, and a checklist designed to help evaluators evaluate programs with relatively long-term goals.
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  • Coding part 2: Thematic coding

    This video tutorial from Graham H Gibbs (2010) provides an overview of thematic coding and examples to demostrate how it is done and how codes can be applied to the data.
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  • Coding part 1: Alan Bryman's 4 stages of qualitative analysis

    In this web video, Graham R Gibbs provides an overview of qualitative analysis based on Alan Bryman's four stages of analysis.
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  • Analysing qualitative data using Microsoft Word

    In this slide show, Jenna Condie, who is presenting a Qualitative Methods in Psychology (QMiP) workshop, explains how Word supports detailed coding, including developing detailed definitions of the codes and tracking comments and emerging i
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  • U-report

    U-Report is an SMS-based, user-centered social monitoring tool originally developed in Uganda and now being adapted in other countries around the world.
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  • Using Word & Excel to analyze qualitative data with Seth Tucker

    Extracting meaningful findings from qualitative data requires an evaluator to have the right tools to able to organize, code, and immerse themselves in the data.
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  • The art of coding with NVivo

    During this virtual workshop, Dr. Penna presented how NVivo, qualitative data analysis software is used to code data, document the data analysis process, and present a visual presentation of the results to increase credibility. 
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