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  • Designing the face-to-face survey

    This chapter by W. Lawrence Neuman gives a detailed overview to collection of questionnaire data through a face-to-face survey method.
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  • Question and questionnaire design

    This chapter Jon A. Krosnick and Stanley Presser presents a number of recommendations about survey design based on conventional wisdom and a review of the methodological literature.
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  • Designing quality survey questions

    Designing Quality Survey Questions addresses challenges such as language preferences for standard demographic questions (e.g.
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  • Program Evaluation: a Plain English Guide

    This 11-step guide defines program evaluation, what it is used for, the different types and when they should be used. Also covered is how to plan a program evaluation, monitor performance, communicate findings, deliver&n
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  • Designing Surveys: A Guide to Decisions and Procedures

    'Designing Surveys: A Guide to Decisions and Procedures' is an excellent resource for both academics and professionals who are conducting small to moderate sized surveys.
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  • Realist Evaluation Workshop

    The focus of this one-day workshop was to build practical skills to conduct a realist evaluation for international development projects and programmes. The rapidly changing context of development assistance in recent years combined wit
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  • Lessons learned using online survey software

    This blog post from Susan Kristler provides on overview of the various strengths and weaknesses of using online survey software.
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  • Week 49: The 1st international conference on realist approaches to evaluation: my ‘realist’ take-aways

    In this blog, Tiina shares her top three realist ‘take-aways’ from the 1st International Conference on Realist Approaches to Evaluation and reflects on when or how realist evaluation may be most useful.
    Blog
  • 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
  • 2017 International realist conference

    We've got our head in realism this week, partly because early-bird registrations for the 2017 International Realist Conference close soon, and partly because we've been shown Chris Lysy's realist cartoon series (commissioned by the Rameses
    Blog
  • Mail questionnaire

    Questionnaires can be mailed out to a sample of the population, enabling the researcher to connect with a wide range of people.
    Method
  • Internet questionnaire

    An internet questionnaire allows the collection of data through an electronic set of questions that are posted on the web. 
    Method
  • Evidence-based policy: A realist perspective

    This book, written by Ray Pawson, provides a critique of the meta-analytic approach and argues that the realist synthesis is a better way of understanding program theory, therefore enabling properly targeted policies to address the con
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  • Collecting evaluation data: Surveys

    This concise guide, prepared by Ellen Taylor-Powell and Carol Hermann for the University of Wisconsin Extension, offers a useful introduction to telephone-specific and broader survey design approaches.
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  • Realist evaluation introductory resources

    This website, from e-MOPs, provides an introduction to Realist Evaluation and includes links to a range of resources, including academic papers, video introductions, online community resources and case studies.
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  • Surveys in social research

    This sixth edition of Surveys In Social Research by David de Vaus provides detailed guidance and advice on planning, conducting and analysing social surveys and emphasises the links between theory and research,
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  • Web-based surveys

    This website from the Journal of Extension (JOE) provides a guide to the purpose and use of web-based surveys.
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  • Theory of change software

    There are a number of options when it comes to using software to help create a logic model.
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  • Realist evaluation

    Realist evaluation aims to identify the underlying generative causal mechanisms that explain how outcomes were caused and how context influences these.
    Approach
  • Realist evaluation

    An approach especially to impact evaluation which examines what works for whom in what circumstances through what causal mechanisms, including changes in the reasoning and resources of participants.
    Approach
  • Realist impact evaluation: An introduction

    Realist impact evaluation is an approach to impact evaluation that emphasises the importance of context for programme outcomes.
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  • Introduction: Contribution, causality, context, and contingency when evaluating inclusive business programmes

    This IDS Bulletin discusses approaches and methods for meaningful impact evaluation, building on real-world experiences with theory-based evaluation in inclusive business programmes.
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  • Realistic evaluation bloodlines

    This article, written by Ray Pawson and Nick Tilley analyses six different social science inquiries from around the globe that use a variety of methods and strategies in order to draw conclusions about realistic evaluations.
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  • Making rigorous causal claims in a real-life context: Has research contributed to sustainable forest management?

    This article discusses an impact evaluation that examined the contribution of two forestry research centres - the Centre for International Forestry Research (CIFOR) and the Centre de Coopération Internationale en Recherche Agronomique pour
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  • Causal Pathways introductory session: Realist evaluation

    This session of the Causal Pathways Symposium 2023, by Melanie Punton, is an introduction to Realist Evaluation, a theory-based evaluation approach based on the idea that interventions do not work for everyone, all the time.
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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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