目次

Introduction What is youth work? What are youth work outcomes? Overview of book PART I. Evaluation: Nature, Politics and Tensions Chapter 1: What is Evaluation? Unpacking ‘evaluation’ What is evaluation for? Different paradigmatic approaches The evolving nature of evaluation Introducing ‘Theory of Change’ The problem with evaluation Chapter 2: The Politics of Evaluation The political context Understanding ‘impact’ Shared measurement What counts as ‘evidence’? Chapter 3: Practitioners’ Tensions and Dilemmas Generating data replaces ‘real’ work Accounting systems are reductionist Funder-led practice Tensions between targets and authenticity Tensions between targets and values 　 PART II. Participatory Evaluation Chapter 4: What is Participatory Evaluation? Defining participatory evaluation Underpinning philosophy and values Developments in participatory evaluation Participation and empowerment Models of participation Making the case for participatory evaluation in youth and community work Chapter 5: Participatory Evaluation Approaches Similarities and distinguishing features Empowerment evaluation Empowerment evaluation in practice Collaborative evaluation Collaborative evaluation in practice Democratic evaluation Democratic evaluation in practice The challenges associated with stakeholder involvement Chapter 6: Transformative Evaluation Rationale Theoretical foundations Transformative evaluation in practice The four stages of Transformative Evaluation Challenges associated with transformative evaluation Tried and tested Chapter 7: Learning in Participatory Evaluation Learning and accountability: A dichotomy? Learning in evaluation Five types of ‘process use’ Learning in the moment Learning through collective reflection Empowerment PART III. Participatory Evaluation in Practice Chapter 8: Preparing for Evaluation Clarifying and articulating purpose Developing a theory of change Considering ethics Engaging stakeholders Resources Chapter 9: Data in Participatory Evaluation Who ‘generates’ data? What data are needed? Quantitative and qualitative data Issues of trustworthiness in participatory evaluation Factors influencing decisions about data generation methods Chapter 10: Methods for Generating Data Questionnaires Interviews Observation Story-telling Chapter 11: Analysing Data Approaches to data analysis Analysing quantitative data Analysing qualitative data Content analysis Coding data and generating themes Content analysis in Transformative Evaluation Involving stakeholders in data analysis Chapter 12: Sharing Knowledge Voice, audience and message Writing an evaluation report Other forms of sharing knowledge Meta-evaluation: Sharing learning about evaluation Conclusion Index