The shift to a market economy in post-communist Eastern Europe has had a profound impact on science and scientists across the region, leading to reforms in research management practices and to drastic cuts in funding levels everywhere. Many countries are moving to a system of competitive research grants awarded on the basis of peer review. The introduction of peer review is not simply a technical matter. It signifies a fundamental change in the social structure of science, enhancing profession-al autonomy and giving working scientists a voice in the allocation of resources. This book combines first-hand accounts of the reform process with analyses of the strengths and weaknesses of both peer review and quantitative indicators.

Evaluation of scientific research, particularly of research which is supported by government funds, is a matter of growing concern in virtually every nation. It is no longer adequate to expect that the value of investments in research will be judged in long-term historical perspective. Resources are scarce and policy-makers are looking for ways to assure that these resources are used in the most effective way. From the life-or-death evaluations of academic research institutes in the post-communist countries to the Government Performance and Results Act(GPRA) in the United States, research evaluation has become a topic of utmost importance in science policy. Evaluation often has substantial consequences for researchers and research institutions, including restructuring, shifting of priorities, budget reductions, or evenclosures. Therefore it is essential that evaluation is done systematically and objectively, with methodologies that can be understood and trusted by those concerned. This book is based on a NATO Advanced Research Workshop, co-organized by the Academy of Sciences of the Czech Republic and the American Association for the Advancement of Science. It describes a range of the most up-to-date methods of science evaluation and the experience with their implementation in many countries. This book can be of interest to researchers, policy-makers, practitioners of science evaluation and many others interested in science policy.

Measurements in Evaluating Science Education is a comprehensive, intuitive guide to many of the key instruments created to assess science education environments, learning, and instruction. Nearly 70 different surveys, tests, scales, and other metrics are organized according to the qualities the measures attempt to gauge, such as attitudes toward science, beliefs and misconceptions, self-efficacy, and content knowledge. Summaries of each instrument, usage information, developmental history and validation, and reported psychometric properties make this an essential reference for anyone interested in understanding science education assessment.

The purpose of this science book is to encourage your child to learn through experiments. The content covers everything from lab safety, designing an experiment, predictions and hypotheses, observations and data collection. You sixth grader will find this book very useful because it has been culled from the curriculum used in school. Grab a copy today.

Increasingly, scholars in the humanities are calling for a reengagement with the natural sciences. Taking their cues from recent breakthroughs in genetics and the neurosciences, advocates of “big history” are reassessing long-held assumptions about the very definition of history, its methods, and its evidentiary base. In Scientific History, Elena Aronova maps out historians’ continuous engagement with the methods, tools, values, and scale of the natural sciences by examining several waves of their experimentation that surged highest at perceived times of trouble, from the crisis-ridden decades of the early twentieth century to the ruptures of the Cold War. The book explores the intertwined trajectories of six intellectuals and the larger programs they set in motion: Henri Berr (1863–1954), Nikolai Bukharin (1888–1938), Lucien Febvre (1878–1956), Nikolai Vavilov (1887–1943), Julian Huxley (1887–1975), and John Desmond Bernal (1901–1971). Though they held different political views, spoke different languages, and pursued different goals, these thinkers are representative of a larger motley crew who joined the techniques, approaches, and values of science with the writing of history, and who created powerful institutions and networks to support their projects. In tracing these submerged stories, Aronova reveals encounters that profoundly shaped our knowledge of the past, reminding us that it is often the forgotten parts of history that are the most revealing.

Program Theory-Driven Evaluation Science fills the gap between 21st century literature on evaluation and what is happening in practice. It features detailed examples of how evaluations actually unfold in practice to develop people, programs, and organizations. Commonly accepted strategies for practicing evaluation are outlined, followed by comprehe

The contributors analyse and contrast the need and demand for RIT performance measurement and evaluation within the US and European innovation and policy making systems. They assess current US and European RIT evaluation practices and methods in key areas, discuss applications of new evaluative approaches and consider strategies that could lead to improvements in RIT evaluation design and policies.

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.