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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.

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.

• 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