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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.
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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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  • Coolors

    Coolors is a colour palette generator.
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  • Color review

    This online tool is designed to assist with choosing accessible colour combinations for text on the web. This resource and the following information was contributed by Alice Macfarlan.
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  • How to make your virtual meetings and events accessible to the disability community

    This post on the Rooted in Rights site provides advice on making virtual meetings and events accessible to people with disabilities. This resource and the following information was contributed by Kaye Stevens.
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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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  • Theory maker

    This free and open-sourced web-based tool was made by Steve Powell as a quick and simple way of creating a theory of change.  The information provided was supplied by Steve Powell.
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  • Dylomo

    Dylomo is a free, web-based tool that can be used to create interactive, online logic models.
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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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  • 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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  • 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?
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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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  • Enhancing program performance with logic models

    Developed by the University of Wisconsin Extension service, this resource provides an introduction to developing and using a particular version of the results chain.
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  • Colour blindness

    People who are affected by colour blindness are unable to distinguish between different hues of certain colours.
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  • 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.
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  • W.K. Kellogg Foundation logic model guide

    The W.K. Kellogg Foundation Logic Model Guide shows how to develop a results chain model.
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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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  • 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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