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Reprint of the original, first published in 1882.
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.
When is it appropriate to return individual research results to participants? The immense interest in this question has been fostered by the growing movement toward greater transparency and participant engagement in the research enterprise. Yet, the risks of returning individual research resultsâ€"such as results with unknown validityâ€"and the associated burdens on the research enterprise are competing considerations. Returning Individual Research Results to Participants reviews the current evidence on the benefits, harms, and costs of returning individual research results, while also considering the ethical, social, operational, and regulatory aspects of the practice. This report includes 12 recommendations directed to various stakeholdersâ€"investigators, sponsors, research institutions, institutional review boards (IRBs), regulators, and participantsâ€"and are designed to help (1) support decision making regarding the return of results on a study-by-study basis, (2) promote high-quality individual research results, (3) foster participant understanding of individual research results, and (4) revise and harmonize current regulations.
If you are a trainee teacher or experienced practitioner new to research, or are simply wondering how to get started on your education research project, this practical book will be your guide. The authors offer simple steps to ensure that you ask the key questions in the most effective way possible. The book guides you through the entire research process: from clarifying the context and conceptual background, to presenting and analysing the evidence gathered. Supported by examples, checklists and diagrams, this fully revised and updated edition includes a wealth of information on: Research design Evidence gathering techniques Practitioner research Ethics Data analysis techniques. This book will be valuable to anyone begining a research or a professional or a professional or school development project, whatever stage they are at within the teaching community, from training for QTS, higher degree, or in need of evidence-backed decisions for the strategic development of their school.
Questions about the reproducibility of scientific research have been raised in numerous settings and have gained visibility through several high-profile journal and popular press articles. Quantitative issues contributing to reproducibility challenges have been considered (including improper data measurement and analysis, inadequate statistical expertise, and incomplete data, among others), but there is no clear consensus on how best to approach or to minimize these problems. A lack of reproducibility of scientific results has created some distrust in scientific findings among the general public, scientists, funding agencies, and industries. While studies fail for a variety of reasons, many factors contribute to the lack of perfect reproducibility, including insufficient training in experimental design, misaligned incentives for publication and the implications for university tenure, intentional manipulation, poor data management and analysis, and inadequate instances of statistical inference. The workshop summarized in this report was designed not to address the social and experimental challenges but instead to focus on the latter issues of improper data management and analysis, inadequate statistical expertise, incomplete data, and difficulties applying sound statistic inference to the available data. Many efforts have emerged over recent years to draw attention to and improve reproducibility of scientific work. This report uniquely focuses on the statistical perspective of three issues: the extent of reproducibility, the causes of reproducibility failures, and the potential remedies for these failures.
Reflecting recent knowledge and developments in the field, this very practical, easy-to-use guide emphasizes learning how to do case study research—from the first step of deciding whether a case study is the way to go to the last step of verifying and confirming findings before disseminating them. The authors show students how to determine an appropriate research design, conduct informative interviews, record observations, document analyses, delineate ways to confirm case study findings, describe methods for deriving meaning from data, and communicate their findings. Featuring many new examples, the Third Edition offers step-by-step guidance to help beginning researchers through the stages of planning and implementing a thesis, dissertation, or independent project. This succinct “how-to” guide is an excellent place for anyone to begin doing case study research. Book Features: Straightforward introduction to the science of doing case study research. A step-by-step approach that speaks directly to the novice investigator. Many concrete examples to illustrate key concepts. Questions, illustrations, and activities to reinforce what has been learned.
The internationally recognised methodology for collecting and using R&D statistics, the OECD's Frascati Manual is an essential tool for statisticians and science and innovation policy makers worldwide. It includes definitions of basic concepts, data collection guidelines, and classifications ...
This comprehensive and practical book covers the basics of grammar as well as the broad brush issues such as writing a grant application and selling to your potential audience. The clear explanations are expanded and lightened with helpful examples and telling quotes from the giants of good writing. These experienced writers and teachers make scientific writing enjoyable.