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This document provides an overview of data collection methods and evaluation designs suitable for evaluating interventions and programmes designed to prevent and counter violent extremism and radicalisation (PCVE). This collection helps to inform decision-making about the evaluation methods or designs which are most suitable to answer specific information needs, and which are most appropriate given the context in which an evaluation of PCVE work takes place in.

This collection has been developed with the PCVE context in mind and with the aim of tailoring descriptions of methods to specific characteristics of work in this field. While the list of methods included in this collection is not exhaustive, the ones presented were selected based on the breadth of data collection and analysis they cover, as well as on their appropriateness for PCVE programmes and interventions. Where real-life examples of the use of the methods featured in this collection for PCVE evaluations were identified, these have been included to illustrate when and how these methods can be effectively applied.

This document also provides a comprehensive discussion of ethical considerations in PCVE evaluation from a broad perspective, as well as in the application of specific evaluation methods. Offering a wealth of resources, examples and further reading, this document is a valuable guide for those who want to enhance their PCVE evaluation toolbox.

Key Finding

Offering a wealth of resources, examples and further reading, this document is a valuable guide for those who want to enhance their PCVE evaluation toolbox.

Table of Contents

  • Chapter One

    Introduction

  • Chapter Two

    Developing this collection and user guide

  • Chapter Three

    Ethical considerations

  • Chapter Four

    Case studies

  • Chapter Five

    Comparisons/benchmarking

  • Chapter Six

    Contribution analysis

  • Chapter Seven

    Cost-benefit analysis

  • Chapter Eight

    Cost-effectiveness analysis

  • Chapter Nine

    Cross-sectional study and data analysis

  • Chapter Ten

    Data mining

  • Chapter Eleven

    Descriptive statistics

  • Chapter Twelve

    Desk-based research and literature review

  • Chapter Thirteen

    Focus groups

  • Chapter Fourteen

    Interviews

  • Chapter Fifteen

    Logic models/theory of change

  • Chapter Sixteen

    Longitudinal studies and data analysis

  • Chapter Seventeen

    Meta-analysis

  • Chapter Eighteen

    Network analysis

  • Chapter Nineteen

    Objectives and options analysis

  • Chapter Twenty

    Observation techniques/ ethnography

  • Chapter Twenty-One

    Policy scientific approach

  • Chapter Twenty-Two

    Qualitative data analysis and grounded theory

  • Chapter Twenty-Three

    Quasi-experimental designs

  • Chapter Twenty-Four

    Randomised control trials

  • Chapter Twenty-Five

    Realist evaluation

  • Chapter Twenty-Six

    Stakeholder analysis

  • Chapter Twenty-Seven

    Surveys

  • Appendix

    Additional resources

Research conducted by

The research described in this report was supported by the European Union's Seventh Framework Programme for research, technological development and demonstration and conducted by RAND Europe.

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