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There have been many recent discussions of the 'replication crisis' in psychology and other social sciences. This has been attributed, in part, to the fact that researchers hesitate to submit null results and journals fail to publish such results. In this book Allan Franklin and Ronald Laymon analyze what constitutes a null result and present evidence, covering a 400-year history, that null results play significant roles in physics.
There have been many recent discussions of the 'replication crisis' in psychology and other social sciences. This has been attributed, in part, to the fact that researchers hesitate to submit null results and journals fail to publish such results. In this book Allan Franklin and Ronald Laymon analyze what constitutes a null result and present evidence, covering a 400-year history, that null results play significant roles in physics.
This book develops an astonishing conceptual connection between many concepts in modern physical sciences and related technologies, all of which have their roots in the Interferometer, a spectroscopic instrument created by Albert Michelson in 1880. After describing the place of the Interferometer amongst other historic, technical inventions, the book discusses the Michelson-Morley experiment (the basis of Einstein’s relativity theories) and the fine details of atomic spectral lines observed by Michelson (the basis of quantum mechanics and Dirac’s relativistic equation). It then covers nuclear magnetic resonance and applications such as atomic clocks, Global Positioning Systems and Magnetic Resonance Imaging, all derived from Michelson's discoveries. It also describes the recent detection, with a km-size Michelson’s Interferometer, of gravitational waves emitted by the merger of neutron star and black hole binaries.
There has recently been considerable discussion of a “replication crisis” in some areas of science. In this book, the authors argue that replication is not a necessary criterion for the validation of a scientific experiment. Five episodes from physics and genetics are used to substantiate this thesis: the Meselson-Stahl experiment on DNA replication, the discoveries of the positron and the omega minus hyperon, Mendel’s plant experiments, and the discovery of parity nonconservation. Two cases in which once wasn’t enough are also discussed, the nondiscovery of parity nonconservation and the search for magnetic monopoles. Reasons why once wasn’t enough are also discussed.
Uncovering common threads across types of science skepticism to show why these controversial narratives stick and how we can more effectively counter them through storytelling Science v. Story analyzes four scientific controversies—climate change, evolution, vaccination, and COVID-19—through the lens of storytelling. Instead of viewing stories as adversaries to scientific practices, Emma Frances Bloomfield demonstrates how storytelling is integral to science communication. Drawing from narrative theory and rhetorical studies, Science v. Story examines scientific stories and rival stories, including disingenuous rival stories that undermine scientific conclusions and productive rival stories that work to make science more inclusive. Science v. Story offers two tools to evaluate and build stories: narrative webs and narrative constellations. These visual mapping tools chart the features of a story (i.e., characters, action, sequence, scope, storyteller, and content) to locate opportunities for audience engagement. Bloomfield ultimately argues that we can strengthen science communication by incorporating storytelling in critical ways that are attentive to audience and context.
Presents the problems of quantum theory from the perspective of mathematical formalism. -- Back cover.
A comprehensive introduction to a wide variety of statistical methods for the analysis of repeated measurements. It is designed to be both a useful reference for practitioners and a textbook for a graduate-level course focused on methods for the analysis of repeated measurements. The important features of this book include a comprehensive coverage of classical and recent methods for continuous and categorical outcome variables; numerous homework problems at the end of each chapter; and the extensive use of real data sets in examples and homework problems.
Social psychiatry is concerned with the interaction of the sociocultural environment and the individual. While recognizing the contribution of psychodynamic factors, it focuses on the impact of the environment on the individual and the reciprocal effect of the individual on the environment. Social psychiatry includes such social problems as migration, acculturation, industrialization, poverty, discrimination, and automation. Originally published in 1970, the articles in this timely collection are in five different areas: definitions and parameters, epidemiology, community psychiatry, social problems, and animal studies. Dr Kiev has provided an introduction to each section that makes clear the significance of each of the contributions, and places them in a broad perspective.
Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and laboratory data. Nonlinear Models for Repeated Measurement Data provides the first unified development of methods and models for data of this type, with a detailed treatment of inference for the nonlinear mixed effects and its extensions. A particular strength of the book is the inclusion of several detailed case studies from the areas of population pharmacokinetics and pharmacodynamics, immunoassay and bioassay development and the analysis of growth curves.