Search Results for "introduction-to-the-new-statistics-estimation-open-science-and-beyond"

Introduction to the New Statistics

Introduction to the New Statistics

Estimation, Open Science, and Beyond

  • Author: Geoff Cumming,Robert Calin-Jageman
  • Publisher: Routledge
  • ISBN: 1317483375
  • Category: Psychology
  • Page: 564
  • View: 5702
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This is the first introductory statistics text to use an estimation approach from the start to help readers understand effect sizes, confidence intervals (CIs), and meta-analysis (‘the new statistics’). It is also the first text to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. In addition, the book explains NHST fully so students can understand published research. Numerous real research examples are used throughout. The book uses today’s most effective learning strategies and promotes critical thinking, comprehension, and retention, to deepen users’ understanding of statistics and modern research methods. The free ESCI (Exploratory Software for Confidence Intervals) software makes concepts visually vivid, and provides calculation and graphing facilities. The book can be used with or without ESCI. Other highlights include: - Coverage of both estimation and NHST approaches, and how to easily translate between the two. - Some exercises use ESCI to analyze data and create graphs including CIs, for best understanding of estimation methods. -Videos of the authors describing key concepts and demonstrating use of ESCI provide an engaging learning tool for traditional or flipped classrooms. -In-chapter exercises and quizzes with related commentary allow students to learn by doing, and to monitor their progress. -End-of-chapter exercises and commentary, many using real data, give practice for using the new statistics to analyze data, as well as for applying research judgment in realistic contexts. -Don’t fool yourself tips help students avoid common errors. -Red Flags highlight the meaning of "significance" and what p values actually mean. -Chapter outlines, defined key terms, sidebars of key points, and summarized take-home messages provide a study tool at exam time. -http://www.routledge.com/cw/cumming offers for students: ESCI downloads; data sets; key term flashcards; tips for using SPSS for analyzing data; and videos. For instructors it offers: tips for teaching the new statistics and Open Science; additional homework exercises; assessment items; answer keys for homework and assessment items; and downloadable text images; and PowerPoint lecture slides. Intended for introduction to statistics, data analysis, or quantitative methods courses in psychology, education, and other social and health sciences, researchers interested in understanding the new statistics will also appreciate this book. No familiarity with introductory statistics is assumed.

The Reviewer’s Guide to Quantitative Methods in the Social Sciences

The Reviewer’s Guide to Quantitative Methods in the Social Sciences

  • Author: Gregory R. Hancock,Laura M. Stapleton,Ralph O. Mueller
  • Publisher: Routledge
  • ISBN: 1317627784
  • Category: Education
  • Page: 502
  • View: 2580
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The Reviewer’s Guide to Quantitative Methods in the Social Sciences provides evaluators of research manuscripts and proposals in the social and behavioral sciences with the resources they need to read, understand, and assess quantitative work. 35 uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The second edition of this valuable resource updates readers on each technique’s key principles, appropriate usage, underlying assumptions and limitations, providing reviewers with the information they need to offer constructive commentary on works they evaluate. Written by methodological and applied scholars, this volume is also an indispensable author’s reference for preparing sound research manuscripts and proposals.

Structural Changes and their Econometric Modeling

Structural Changes and their Econometric Modeling

  • Author: Vladik Kreinovich
  • Publisher: Springer
  • ISBN: 3030042634
  • Category:
  • Page: N.A
  • View: 918
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Beyond open access: visions for open evaluation of scientific papers by post-publication peer review

Beyond open access: visions for open evaluation of scientific papers by post-publication peer review

  • Author: Nikolaus Kriegeskorte,Diana Deca
  • Publisher: Frontiers E-books
  • ISBN: 2889190684
  • Category:
  • Page: N.A
  • View: 4539
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A scientific publication system needs to provide two basic services: access and evaluation. The traditional publication system restricts the access to papers by requiring payment, and it restricts the evaluation of papers by relying on just 2-4 pre-publication peer reviews and by keeping the reviews secret. As a result, the current system suffers from a lack of quality and transparency of the peer-review evaluation process, and the only immediately available indication of a new paper’s quality is the prestige of the journal it appeared in. Open access is now widely accepted as desirable and is slowly beginning to become a reality. However, the second essential element, evaluation, has received less attention. Open evaluation, an ongoing post-publication process of transparent peer review and rating of papers, promises to address the problems of the current system. However, it is unclear how exactly such a system should be designed. The evaluation system steers the attention of the scientific community and, thus, the very course of science. For better or worse, the most visible papers determine the direction of each field and guide funding and public policy decisions. Evaluation, therefore, is at the heart of the entire endeavor of science. As the number of scientific publications explodes, evaluation and selection will only gain importance. A grand challenge of our time, therefore, is to design the future system, by which we evaluate papers and decide which ones deserve broad attention. So far scientists have left the design of the evaluation process to journals and publishing companies. However, the steering mechanism of science should be designed by scientists. The cognitive, computational, and brain sciences are best prepared to take on this task, which will involve social and psychological considerations, software design, and modeling of the network of scientific papers and their interrelationships. This Research Topic in Frontiers in Computational Neuroscience collects visions for a future system of open evaluation. Because critical arguments about the current system abound, these papers will focus on constructive ideas and comprehensive designs for open evaluation systems. Design decisions include: Should the reviews and ratings be entirely transparent, or should some aspects be kept secret? Should other information, such as paper downloads be included in the evaluation? How can scientific objectivity be strengthened and political motivations weakened in the future system? Should the system include signed and authenticated reviews and ratings? Should the evaluation be an ongoing process, such that promising papers are more deeply evaluated? How can we bring science and statistics to the evaluation process (e.g. should rating averages come with error bars)? How should the evaluative information about each paper (e.g. peer ratings) be combined to prioritize the literature? Should different individuals and organizations be able to define their own evaluation formulae (e.g. weighting ratings according to different criteria)? How can we efficiently transition toward the future system? Ideally, the future system will derive its authority from a scientific literature on community-based open evaluation. We hope that these papers will provide a starting point.

Scientific Methods for the Humanities

Scientific Methods for the Humanities

  • Author: Willie van Peer,Frank Hakemulder,Sonia Zyngier
  • Publisher: John Benjamins Publishing
  • ISBN: 9027274673
  • Category: Literary Criticism
  • Page: 328
  • View: 1437
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Here is a much needed introductory textbook on empirical research methods for the Humanities. Especially aimed at students and scholars of Literature, Applied Linguistics, and Film and Media, it stimulates readers to reflect on the problems and possibilities of testing the empirical assumptions and offers hands-on learning opportunities to develop empirical studies. It explains a wide range of methods, from interviews to observation research, and guides readers through the choices researchers have to make. It discusses the essence of experiments, illustrates how studies are designed, how to develop questionnaires, and helps readers to collect and analyze data by themselves. The book presents qualitative approaches to research but focuses mostly on quantitative methods, detailing the workings of basic statistics. At the end, the book also shows how to give papers at international conferences, how to draft a report, and what is involved in the preparation of a publishable article.

Estimating Animal Abundance

Estimating Animal Abundance

Closed Populations

  • Author: D.L. Borchers,Stephen T. Buckland,W. Zucchini,W.E. Stephens
  • Publisher: Springer Science & Business Media
  • ISBN: 9781852335601
  • Category: Mathematics
  • Page: 314
  • View: 4990
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This is the first book to provide an accessible, comprehensive introduction to wildlife population assessment methods. It uses a new approach that makes the full range of methods accessible in a way that has not previously been possible. Traditionally, newcomers to the field have had to face the daunting prospect of grasping new concepts for almost every one of the many methods. In contrast, this book uses a single conceptual (and statistical) framework for all the methods. This makes understanding the apparently different methods easier because each can be seen to be a special case of the general framework. The approach provides a natural bridge between simple methods and recently developed methods. It also links closed population methods quite naturally with open population methods. The book is accompanied by free software on the web, in the form of an R library, allowing readers to get some "hands-on" experience with the methods and how they perform in different contexts - without the considerable effort and expense required to do this in the real world. It also provides a tool for teaching the methods, including a means for teachers to generate examples and exercises customised to the needs of their students. As the first truly up-to-date and introductory text in the field, this book should become a standard reference for students and professionals in the fields of statistics, biology and ecology.

Geological Survey of Canada, Open File 2352

Geological Survey of Canada, Open File 2352

  • Author: N.A
  • Publisher: Natural Resources Canada
  • ISBN: N.A
  • Category:
  • Page: N.A
  • View: 7122
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Tool Kits in Regional Science

Tool Kits in Regional Science

Theory, Models, and Estimation

  • Author: Michael Sonis,Geoffrey J. D. Hewings
  • Publisher: Springer Science & Business Media
  • ISBN: 3642006272
  • Category: Business & Economics
  • Page: 305
  • View: 4477
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Regional Science is now more than 50 years old; in the last two decades, significant advances in methodology have occurred, spurred in large part by access to computers. The range of analytical techniques now available is enormous; this books provides a sampling of the toolkit that is now at the disposal of analysts interested in understanding and interpreting the complexity of the spatial structure of sub- national economies. The set of tools ranges from the more traditional (input-output) to new developments in computable general equilibrium models, nonlinear dynamics, neural modelling and innovation.

Valuing Health

Valuing Health

Well-Being, Freedom, and Suffering

  • Author: Daniel M. Hausman
  • Publisher: Oxford University Press
  • ISBN: 0190233214
  • Category: Medical
  • Page: 304
  • View: 9641
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In Valuing Health Daniel M. Hausman provides a philosophically sophisticated overview of generic health measurement that suggests improvements in standard methods and proposes a radical alternative. He shows how to avoid relying on surveys and instead evaluate health states directly. Hausman goes on to tackle the deep problems of evaluation, offering an account of fundamental evaluation that does not presuppose the assignment of values to the properties and consequences of alternatives. After discussing the purposes of generic health measurement, Hausman defends a naturalistic concept of health and its relations to measures such as quality-adjusted life-years (QALYs) and disability-adjusted life years (DALYs). In examining current health-measurement systems, Valuing Health clarifies their value commitments and the objections to relying on preference surveys to assign values to health states. Relying on an interpretation of liberal political philosophy, Hausman argues that the public value of health states should be understood in terms of the activity limits and suffering that health states impose. Hausman also addresses the moral conundrums that arise when policy-makers attempt to employ the values of health states to estimate the health benefits of alternative policies and to adopt the most cost-effective. He concludes with a general discussion of the difficulties of combining consequentialist and non-consequentialist moral considerations in policy-making.

Bio-Inspired Systems: Computational and Ambient Intelligence

Bio-Inspired Systems: Computational and Ambient Intelligence

10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings

  • Author: Joan Cabestany,Francisco Sandoval,Alberto Prieto,Juan M. Corchado,Juan Manuel Corchado Rodríguez
  • Publisher: Springer Science & Business Media
  • ISBN: 3642024777
  • Category: Computers
  • Page: 1356
  • View: 3767
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This book constitutes the refereed proceedings of the 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, held in Salamanca, Spain in June 2009. The 167 revised full papers presented together with 3 invited lectures were carefully reviewed and selected from over 230 submissions. The papers are organized in thematic sections on theoretical foundations and models; learning and adaptation; self-organizing networks, methods and applications; fuzzy systems; evolutionary computation and genetic algoritms; pattern recognition; formal languages in linguistics; agents and multi-agent on intelligent systems; brain-computer interfaces (bci); multiobjetive optimization; robotics; bioinformatics; biomedical applications; ambient assisted living (aal) and ambient intelligence (ai); other applications.