Evaluating Scientific Evidence


Book Description

This book examines scientific evidence in both civil and criminal contexts.




Taking Science to School


Book Description

What is science for a child? How do children learn about science and how to do science? Drawing on a vast array of work from neuroscience to classroom observation, Taking Science to School provides a comprehensive picture of what we know about teaching and learning science from kindergarten through eighth grade. By looking at a broad range of questions, this book provides a basic foundation for guiding science teaching and supporting students in their learning. Taking Science to School answers such questions as: When do children begin to learn about science? Are there critical stages in a child's development of such scientific concepts as mass or animate objects? What role does nonschool learning play in children's knowledge of science? How can science education capitalize on children's natural curiosity? What are the best tasks for books, lectures, and hands-on learning? How can teachers be taught to teach science? The book also provides a detailed examination of how we know what we know about children's learning of scienceâ€"about the role of research and evidence. This book will be an essential resource for everyone involved in K-8 science educationâ€"teachers, principals, boards of education, teacher education providers and accreditors, education researchers, federal education agencies, and state and federal policy makers. It will also be a useful guide for parents and others interested in how children learn.




Evaluating Evidence of Mechanisms in Medicine


Book Description

This book is open access under a CC BY license. This book is the first to develop explicit methods for evaluating evidence of mechanisms in the field of medicine. It explains why it can be important to make this evidence explicit, and describes how to take such evidence into account in the evidence appraisal process. In addition, it develops procedures for seeking evidence of mechanisms, for evaluating evidence of mechanisms, and for combining this evaluation with evidence of association in order to yield an overall assessment of effectiveness. Evidence-based medicine seeks to achieve improved health outcomes by making evidence explicit and by developing explicit methods for evaluating it. To date, evidence-based medicine has largely focused on evidence of association produced by clinical studies. As such, it has tended to overlook evidence of pathophysiological mechanisms and evidence of the mechanisms of action of interventions. The book offers a useful guide for all those whose work involves evaluating evidence in the health sciences, including those who need to determine the effectiveness of health interventions and those who need to ascertain the effects of environmental exposures.




Evaluating Scientific Research


Book Description

Acknowledging the profound role science plays in our lives, this book uses a non-technical vocabulary to explain the research process and discuss many controversial issues. It emphasizes creative and critical thinking, challenging many traditional ways of doing research and covering six major problem areas--limitaions of science, preparing for research, measurement, research designs, data analysis, and philosophical issues . Chapter topics include reading and reviewing scientific literature; conflicts of interest and bias; variations on the simple experiment; case studies; using existing data; using animals in research; and philosophical challenges. For anyone who wants to do more than simply accept scientific research at face value.




Interpreting Evidence


Book Description

This book explains the correct logical approach to analysis of forensic scientific evidence. The focus is on general methods of analysis applicable to all forms of evidence. It starts by explaining the general principles and then applies them to issues in DNA and other important forms of scientific evidence as examples. Like the first edition, the book analyses real legal cases and judgments rather than hypothetical examples and shows how the problems perceived in those cases would have been solved by a correct logical approach. The book is written to be understood both by forensic scientists preparing their evidence and by lawyers and judges who have to deal with it. The analysis is tied back both to basic scientific principles and to the principles of the law of evidence. This book will also be essential reading for law students taking evidence or forensic science papers and science students studying the application of their scientific specialisation to forensic questions.




Evaluating Social Science Research


Book Description

This volume offers students a basic introduction to assessing the meaning and validity of research in the social sciences and related fields. The ability to "read "published research critically is essential and is different from the skills involved in "undertaking "research using statistical analysis. Thomas R Black explains in clear and straightforward terms how students can evaluate research, with particular emphasis on research involving some aspect of measurement. The coverage of fundamental concepts is comprehensive and supports topics including research design, data collection and data analysis by addressing the following major issues: Are the questions and hypotheses advanced appropriate and testable? Is the research design sufficient for the hypothesis? Are the data gathered valid, reliable and objective? Are the statistical techniques used to analyze the data appropriate and do they support the conclusions reached?




Reproducibility and Replicability in Science


Book Description

One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.




Evaluating Social Science Research


Book Description

We often decide what to believe and what to question on the basis of a simple rule of thumb like believe the trustworthy source or trust the expert. Sometimes, however, reliable and well-informed sources support both sides of the controversy. Whom are we to trust? How can we make a decision on the issue at hand? The second edition of Evaluating Social Science Research provides methods for thinking critically about claims of factual knowledge and drawing appropriate conclusions.The authors have added new sections to the book to reflect the new developments in the field since the appearance of the first edition sixteen years ago. Included is an expanded discussion of observational method that addresses the issues of validity that are now more clearly understood. There is an explicit discussion of quasi-experimental research design, including an added distinction between equivalent-group and nonequivalent-group experiments. New explanations of the logic of multiple regression analysis, casual modeling, and meta-analysis have been provided as well.The new edition, while recognizing the limits of each research method, retains its emphasis on the importance of observations that may be repeated and checked by other researchers. It treats the reader as a key actor who can advance knowledge by cross-checking observations and interpretations.




Understanding and Evaluating Research


Book Description

Understanding and Evaluating Research: A Critical Guide shows students how to be critical consumers of research and to appreciate the power of methodology as it shapes the research question, the use of theory in the study, the methods used, and how the outcomes are reported. The book starts with what it means to be a critical and uncritical reader of research, followed by a detailed chapter on methodology, and then proceeds to a discussion of each component of a research article as it is informed by the methodology. The book encourages readers to select an article from their discipline, learning along the way how to assess each component of the article and come to a judgment of its rigor or quality as a scholarly report.




The Science of Evaluation


Book Description

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.