Progress In Evaluation Research

Regulatory standards are already on the books at the the U.S. Environmental Protection Agency (EPA) to address health risks posed by inhaling tiny particles from smoke, vehicle exhaust, and other sources. At the same time, Congress and EPA have initiated a multimillion dollar research effort to better understand the sources of these airborne particles, the levels of exposure to people, and the ways that these particles cause damage. To provide independent guidance to the EPA, Congress asked the National Research Council to study the relevant issues. The result is a series of four reports on the particulate-matter research program. The first two books offered a conceptual framework for a national research program, identified the 10 most critical research needs, and described the recommended timing and estimated costs of such research. This, the third volume, begins the task of assessing the progress made in implementing the research program. The National Research Council ultimately concludes that the ongoing program is appropriately addressing many of the key uncertainties. However, it also identifies a number of critical specific subjects that should be given greater attention. Research Priorities for Airborne Particulate Matter focuses on the most current and planned research projects with an eye toward the fourth and final report, which will contain an updated assessment.

In Mixed Methods Design in Evaluation, the first volume of SAGE's Evaluation in Practice Series, best-selling author Donna M. Mertens explores the meaning of mixed methods evaluation, its evolution over the last few decades, and the dominant philosophical frameworks that are influencing thought and practice in the field today. Four chapters explore evaluation of the effectiveness of interventions, development of instruments, systematic reviews, and policy evaluations, while an additional chapter covers evaluation approaches often required in specific contexts including gender responsive evaluations, needs assessment, and evaluations in conflict zones. Practical in nature, the book guides readers’ thinking about the design of mixed methods evaluations through the use of illustrative examples and explanations for further applications.

Conner explores new evaluation methods that do not fall within traditional evaluation methodological categories. These new methods -- or mixes of methods -- are more responsive to the setting and environment of the programme being evaluated. Essays in Part One describe and illustrate newer techniques such as simulation, cost-effectiveness principles, ethnographic approaches and social indicators. Part Two focuses on combinations of methods.

The contributors provide a general overview of evaluation in intitiatives designed to promote better health. They highlight successful and unsuccesful campaigns and offer a coherent study of the theory and practice of evaluation in this discipline.

"This book describes the development and standardization of a new evaluation system entitled the Progress Evaluation Scales (PES). This approach to evaluation was developed in order to overcomes some of the major problems noted in other evaluation systems. The PES is made up of seven scales, each consisting of five levels, with the characteristics of each level described. Four slightly different versions of the scales are available to accommodate children, adolescent, and adult mental-health clients and, additionally, the developmentally disabled"--Page xix.

The second edition of the Impact Evaluation in Practice handbook is a comprehensive and accessible introduction to impact evaluation for policy makers and development practitioners. First published in 2011, it has been used widely across the development and academic communities. The book incorporates real-world examples to present practical guidelines for designing and implementing impact evaluations. Readers will gain an understanding of impact evaluations and the best ways to use them to design evidence-based policies and programs. The updated version covers the newest techniques for evaluating programs and includes state-of-the-art implementation advice, as well as an expanded set of examples and case studies that draw on recent development challenges. It also includes new material on research ethics and partnerships to conduct impact evaluation. The handbook is divided into four sections: Part One discusses what to evaluate and why; Part Two presents the main impact evaluation methods; Part Three addresses how to manage impact evaluations; Part Four reviews impact evaluation sampling and data collection. Case studies illustrate different applications of impact evaluations. The book links to complementary instructional material available online, including an applied case as well as questions and answers. The updated second edition will be a valuable resource for the international development community, universities, and policy makers looking to build better evidence around what works in development.

Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.