Project
IMPACT Europe Explores 'What Works' in Tackling Violent Radicalisation and Extremism
May 25, 2017
A practical guide
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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.
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
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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