In the economic atmosphere following the crisis of 2008, not only have governments reacted by creating more complex policy initiatives, but they have also promised that all of these initiatives will be evaluated. Due to the complexity of many of the initiatives, the ways of evaluating are becoming equally complex. The book begins with a theoretical and conceptual explanation of the process and shows how this translates into the practice of evaluation. The chapters cover a wide variety of subjects, such as poverty, homelessness, smoking prevention, HIV/AIDS, and child labor. The use of case studies sheds light on the conceptual ideas at work in organizations addressing some of the world's largest and most varied problems. The evaluation process seeks a balance between order and chaos. The interaction of four elements—simplicity, inventiveness, flexibility, and specificity—allows complex patterns to emerge. The case studies illustrate this framework and provide a number of examples of practical management of complexity, in light of contingency theories of the evaluation process itself. These theories in turn match the complexity of evaluated policies, strategies, and programs. The evaluation process is examined for its impact on policy outcomes and choices.

Recognizing that complexity calls for innovative, conceptual, and methodological solutions, Dealing with Complexity in Development Evaluation by Michael Bamberger, Jos Vaessen, and Estelle Raimondo offers practical guidance to policymakers, managers, and evaluation practitioners on how to design and implement complexity-responsive evaluations that can be undertaken in the real world of time, budget, data, and political constraints. Introductory chapters present comprehensive, non-technical overviews of the most common evaluation tools and methodologies, and additional content addresses more cutting-edge material. The book also includes six case study chapters to illustrate examples of various evaluation contexts from around the world.

This handbook shares profound insights into the main principles and concepts of integrated care. It offers a multi-disciplinary perspective with a focus on patient orientation, efficiency, and quality by applying widely recognized management approaches to the field of healthcare. The handbook also highlights international best practices and shows how integrated care can work in various health systems. In the majority of health systems around the world, the delivery of healthcare and social care is characterised by fragmentation and complexity. Consequently, much of the recent international discussion in the fields of health policy and health management has focused on the topic of integrated care. “Integrated” acknowledges the complexity of patients’ needs and aims to meet them by taking into account both health and social care aspects. Changing and improving processes in a coordinated way is at the heart of this approach. The second edition offers new chapters on people-centredness, complexity theories and evaluation methods, additional management tools and a wealth of experiences from different countries and localities. It is essential reading both for health policymakers seeking inspiration for legislation and for practitioners involved in the management of public health services who want to learn from good practice.

Introduction to design and analysis for educational intervention -- The nuts and bolts of single-case design -- The classic A-B-A-B design -- Complex single-case designs -- Visual analysis and interpretation strategies for single-case design -- Advanced empirical analyses of single-case data in practice and research -- Brief experimental analysis -- Single-case design for research purposes -- A response-to-intervention model incorporating experimental design.

Much applied research takes place as if complex social problems--and evaluations of interventions to address them--can be dealt with in a purely technical way. In contrast, this groundbreaking book offers an alternative approach that incorporates sustained, systematic reflection about researchers' values, what values research promotes, how decisions about what to value are made and by whom, and how judging the value of social interventions takes place. The authors offer practical and conceptual guidance to help researchers engage meaningfully with value conflicts and refine their capacity to engage in deliberative argumentation. Pedagogical features include a detailed evaluation case, "Bridge to Practice" exercises and annotated resources in most chapters, and an end-of-book glossary.

Developmental evaluation (DE) offers a powerful approach to monitoring and supporting social innovations by working in partnership with program decision makers. In this book, eminent authority Michael Quinn Patton shows how to conduct evaluations within a DE framework. Patton draws on insights about complex dynamic systems, uncertainty, nonlinearity, and emergence. He illustrates how DE can be used for a range of purposes: ongoing program development, adapting effective principles of practice to local contexts, generating innovations and taking them to scale, and facilitating rapid response in crisis situations. Students and practicing evaluators will appreciate the book's extensive case examples and stories, cartoons, clear writing style, "closer look" sidebars, and summary tables. Provided is essential guidance for making evaluations useful, practical, and credible in support of social change.

​ A major reason complex programs are so difficult to evaluate is that the assumptions that inspire them are poorly articulated. Stakeholders of such programs are often unclear about how the change process will unfold. Thus, it is so difficult to reasonably anticipate the early and midterm changes that need to happen in order for a longer-term goalto be reached. The lack of clarity about the “mini-steps” that must be taken to reach a long-term outcome not only makes the task of evaluating a complex initiative challenging, but reduces the likelihood that all of the important factors related to the long term goal will be addressed. Most of the resources that have attempted to address this dilemma have been popularized as theory of change or sometimes program theory approaches. Although these approaches emphasize and elaborate the sequence of changes/mini steps that lead to the long-term goal of interest and the connections between program activities and outcomes that occur at each step of the way, they do not do enough to clarify how program managers or evaluators should deal with assumptions. Assumptions, the glue that holds all the pieces together, remain abstract and far from applicable. In this book the author tackles this important assumptions theme head-on-covering a breadth of ground from the epistemology of development assumptions, to the art of making logical assumptions as well as recognizing, explicit zing and testing assumptions with in an elaborate program theory from program design, implementation, monitoring and evaluation.