Bringing together leading theorists, researchers and policy makers with expertise in using realist methods, this book is a definitive guide to putting realist methodologies into practice. Not just an overview of the field, this book looks to extend current debates and apply realist methods to new and practical challenges in social research. Featuring practical, worked examples of how to turn theory into evidence, it empowers readers not just to understand realist methods, but to use them. It will help readers: - Negotiate the complexity of relational systems - Understand the importance and relevance of cumulative theory - Address concerns over data sources and quality - Be flexible and creative in realist approaches - Produce useful evidence for policy. Sophisticated and globally minded, this book is the perfect addition to the ongoing development and application of realist methods across evaluation, synthesis, and social research.

Evaluation researchers are tasked with providing the evidence to guide programme building and to assess its outcomes. As such, they labour under the highest expectations - bringing independence and objectivity to policy making. They face huge challenges, given the complexity of modern interventions and the politicised backdrop to all of their investigations. They have responded with a huge portfolio of research techniques and, through their professional associations, have set up schemes to establish standards for evaluative inquiry and to accredit evaluation practitioners. A big question remains. Has this monumental effort produced a progressive, cumulative and authoritative body of knowledge that we might think of as evaluation science? This is the question addressed by Ray Pawson in this sequel to Realistic Evaluation and Evidence-based Policy. In answer, he provides a detailed blueprint for an evaluation science based on realist principles.

In this important new book, Ray Pawson examines the recent spread of evidence-based policy making across the Western world. Few major public initiatives are mounted these days in the absence of a sustained attempt to evaluate them. Programmes are tried, tried and tried again and researched, researched and researched again. And yet it is often difficult to know which interventions, and which inquiries, will withstand the test of time. The evident solution, going by the name of evidence-based policy, is to take the longer view. Rather than relying on one-off studies, it is wiser to look to the ′weight of evidence′. Accordingly, it is now widely agreed the most useful data to support policy decisions will be culled from systematic reviews of all the existing research in particular policy domains. This is the consensual starting point for Ray Pawson′s latest foray into the world of evaluative research. But this is social science after all and harmony prevails only in the first chapter. Thereafter, Pawson presents a devastating critique of the dominant approach to systematic review - namely the ′meta-analytic′ approach as sponsored by the Cochrane and Campbell collaborations. In its place is commended an approach that he terms ′realist synthesis′. On this vision, the real purpose of systematic review is better to understand programme theory, so that policies can be properly targeted and developed to counter an ever-changing landscape of social problems. The book will be essential reading for all those who loved (or loathed) the arguments developed in Realistic Evaluation (Sage, 1997). It offers a complete blueprint for research synthesis, supported by detailed illustrations and worked examples from across the policy waterfront. It will be of especial interest to policy-makers, practitioners, researchers and students working in health, education, employment, social care, criminal justice, regeneration and welfare.

Evaluation for the 21st Century features thoughtfully written introductions to each of the main sections that provide a context and synthesis of the various evaluators' chapters. After reading this groundbreaking book, researchers and practitioners will be able to recognize these new developments in evaluation as they encounter them, place them in context, and incorporate them into their own evaluation professions and practices.

In this innovative book, theorists and researchers from various social science disciplines explore the potential of realist social theory for empirical research. The examples are drawn from a wide range of fields health and medicine, crime, housing, sociolinguistics, development theory and deal with issues such as causality, probability, and reflexivity in social science. Varied and lively contributions relate central methodological issues to detailed accounts of research projects which adopt a realist framework. Making Realism Work provides an accessible discussion of a significant current in contemporary social science and will be of interest to social theorists and social researchers alike.

Table of Contents

Challenging the formality and idealized settings of conventional methods teaching and opting instead for a real world approach to social research, this book offers frank, practical advice designed to empower students and researchers alike. Theoretically robust and with an exhaustive coverage of key methodologies and methods the title establishes the cornerstones of social research. Examples reflect research conducted inside and outside formal university settings and range from the extremes of war torn countries to the complexities of school classrooms. Supported by a wealth of learning features and tools the textbook and website include: Video top tips Podcasts Full text journal articles Interviews with researchers conducting field research Links to external websites and blogs Student exercises Real world case studies

Realist Inquiry in Social Science is an invaluable guide to conducting realist research. Written by highly regarded experts in the field, the first part of the book sets out the fundamentals necessary for rigorous realist research, while the second part deals with a number of its most important applications, discussing it in the context of case studies, action research and grounded theory amongst other approaches. Grounded in philosophical methodology, this book goes beyond understanding knowledge justification only as empirical validity, but instead emphasises the importance of theoretical criteria for all good research. The authors consider both quantitative and qualitative research methods, and approach methodology from an interdisciplinary viewpoint. Using abductive reasoning as the starting point for an insightful journey into realist inquiry, this book demonstrates that scientific realism continues to be of major relevance to the social sciences.

If you are working in a time-sensitive context, need to deliver research findings so they can be used to inform decisions, or are finding it difficult to access research funding for long-term qualitative research, this book will help you. Introducing ‘rapid qualitative research’, it demonstrates how you can conduct high quality qualitative research within time, access and resource constraints. The book uses real world examples to illustrate the benefits and challenges of using rapid qualitative research designs. Focusing on the when, why and how, it explains the difference between cutting corners and making quick, well-informed research choices that support rigorous, credible research. Key features of the book include discussion questions and exercises for you to reflect on and apply your learning, as well as two case study chapters of real-world research so you can see rapid research in action. Written by the world’s leading expert on this subject, this book contains the theoretical and practical nuts and bolts you need to reframe existing qualitative methods, speed up your research, and make tangible contributions to your field. It is the perfect companion for any researcher, final-year undergraduate or postgraduate student looking to conduct rapid, but rigorous, qualitative research.

All qualitative researchers sample, yet methods of sampling and choosing cases have received relatively little attention compared to other qualitative methods. This innovative book critically evaluates widely used sampling strategies, identifying key theoretical assumptions and considering how empirical and theoretical claims are made from these diverse methods. Nick Emmel presents a groundbreaking reworking of sampling and choosing cases in qualitative research. Drawing on international case studies from across the social sciences he shows how ideas drive choices, how cases are used to work out the relation between ideas and evidence, and why it is not the size of a sample that matters, it is how cases are used to interpret and explain that counts. Fresh, dynamic and timely, this book is essential reading for researchers and postgraduate students engaging with sampling and realism in qualitative research.