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Book The Significance Test Controversy Revisited

Download or read book The Significance Test Controversy Revisited written by Bruno Lecoutre and published by Springer. This book was released on 2014-08-07 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is not only to revisit the “significance test controversy,”but also to provide a conceptually sounder alternative. As such, it presents a Bayesian framework for a new approach to analyzing and interpreting experimental data. It also prepares students and researchers for reporting on experimental results. Normative aspects: The main views of statistical tests are revisited and the philosophies of Fisher, Neyman-Pearson and Jeffrey are discussed in detail. Descriptive aspects: The misuses of Null Hypothesis Significance Tests are reconsidered in light of Jeffreys’ Bayesian conceptions concerning the role of statistical inference in experimental investigations. Prescriptive aspects: The current effect size and confidence interval reporting practices are presented and seriously questioned. Methodological aspects are carefully discussed and fiducial Bayesian methods are proposed as a more suitable alternative for reporting on experimental results. In closing, basic routine procedures regarding the means and their generalization to the most common ANOVA applications are presented and illustrated. All the calculations discussed can be easily carried out using the freeware LePAC package.

Book The Significance Test Controversy

Download or read book The Significance Test Controversy written by Ramon E. Henkel and published by Routledge. This book was released on 2017-07-28 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tests of significance have been a key tool in the research kit of behavioral scientists for nearly fifty years, but their widespread and uncritical use has recently led to a rising volume of controversy about their usefulness. This book gathers the central papers in this continuing debate, brings the issues into clear focus, points out practical problems and philosophical pitfalls involved in using the tests, and provides a benchmark from which further analysis can proceed.The papers deal with some of the basic philosophy of science, mathematical and statistical assumptions connected with significance tests and the problems of the interpretation of test results, but the work is essentially non-technical in its emphasis. The collection succeeds in raising a variety of questions about the value of the tests; taken together, the questions present a strong case for vital reform in test use, if not for their total abandonment in research.The book is designed for practicing researchers-those not extensively trained in mathematics and statistics that must nevertheless regularly decide if and how tests of significance are to be used-and for those training for research. While controversy has been centered in sociology and psychology, and the book will be especially useful to researchers and students in those fields, its importance is great across the spectrum of the scientific disciplines in which statistical procedures are essential-notably political science, economics, and the other social sciences, education, and many biological fields as well.Denton E. Morrison is professor, Department of Sociology, Michigan State University.Ramon E. Henkel is associate professor emeritus, Department of Sociology University of Maryland. He teaches as part of the graduate faculty.

Book The Significance Test Controversy

Download or read book The Significance Test Controversy written by Denton E. Morrison and published by . This book was released on 1970 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The significance test controversy  ed  by D E  Morrison  and R E  Henkel

Download or read book The significance test controversy ed by D E Morrison and R E Henkel written by and published by . This book was released on 1970 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Bayesian Data Analysis for Animal Scientists

Download or read book Bayesian Data Analysis for Animal Scientists written by Agustín Blasco and published by Springer. This book was released on 2017-08-30 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, we provide an easy introduction to Bayesian inference using MCMC techniques, making most topics intuitively reasonable and deriving to appendixes the more complicated matters. The biologist or the agricultural researcher does not normally have a background in Bayesian statistics, having difficulties in following the technical books introducing Bayesian techniques. The difficulties arise from the way of making inferences, which is completely different in the Bayesian school, and from the difficulties in understanding complicated matters such as the MCMC numerical methods. We compare both schools, classic and Bayesian, underlying the advantages of Bayesian solutions, and proposing inferences based in relevant differences, guaranteed values, probabilities of similitude or the use of ratios. We also give a scope of complex problems that can be solved using Bayesian statistics, and we end the book explaining the difficulties associated to model choice and the use of small samples. The book has a practical orientation and uses simple models to introduce the reader in this increasingly popular school of inference.

Book Fundamentals of Statistical Inference

Download or read book Fundamentals of Statistical Inference written by Norbert Hirschauer and published by Springer Nature. This book was released on 2022-08-18 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a coherent description of foundational matters concerning statistical inference and shows how statistics can help us make inductive inferences about a broader context, based only on a limited dataset such as a random sample drawn from a larger population. By relating those basics to the methodological debate about inferential errors associated with p-values and statistical significance testing, readers are provided with a clear grasp of what statistical inference presupposes, and what it can and cannot do. To facilitate intuition, the representations throughout the book are as non-technical as possible. The central inspiration behind the text comes from the scientific debate about good statistical practices and the replication crisis. Calls for statistical reform include an unprecedented methodological warning from the American Statistical Association in 2016, a special issue “Statistical Inference in the 21st Century: A World Beyond p 0.05” of iThe American StatisticianNature in 2019. The book elucidates the probabilistic foundations and the potential of sample-based inferences, including random data generation, effect size estimation, and the assessment of estimation uncertainty caused by random error. Based on a thorough understanding of those basics, it then describes the p-value concept and the null-hypothesis-significance-testing ritual, and finally points out the ensuing inferential errors. This provides readers with the competence to avoid ill-guided statistical routines and misinterpretations of statistical quantities in the future. Intended for readers with an interest in understanding the role of statistical inference, the book provides a prudent assessment of the knowledge gain that can be obtained from a particular set of data under consideration of the uncertainty caused by random error. More particularly, it offers an accessible resource for graduate students as well as statistical practitioners who have a basic knowledge of statistics. Last but not least, it is aimed at scientists with a genuine methodological interest in the above-mentioned reform debate.

Book What If There Were No Significance Tests

Download or read book What If There Were No Significance Tests written by Lisa L. Harlow and published by Routledge. This book was released on 2016-03-02 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: The classic edition of What If There Were No Significance Tests? highlights current statistical inference practices. Four areas are featured as essential for making inferences: sound judgment, meaningful research questions, relevant design, and assessing fit in multiple ways. Other options (data visualization, replication or meta-analysis), other features (mediation, moderation, multiple levels or classes), and other approaches (Bayesian analysis, simulation, data mining, qualitative inquiry) are also suggested. The Classic Edition’s new Introduction demonstrates the ongoing relevance of the topic and the charge to move away from an exclusive focus on NHST, along with new methods to help make significance testing more accessible to a wider body of researchers to improve our ability to make more accurate statistical inferences. Part 1 presents an overview of significance testing issues. The next part discusses the debate in which significance testing should be rejected or retained. The third part outlines various methods that may supplement significance testing procedures. Part 4 discusses Bayesian approaches and methods and the use of confidence intervals versus significance tests. The book concludes with philosophy of science perspectives. Rather than providing definitive prescriptions, the chapters are largely suggestive of general issues, concerns, and application guidelines. The editors allow readers to choose the best way to conduct hypothesis testing in their respective fields. For anyone doing research in the social sciences, this book is bound to become "must" reading. Ideal for use as a supplement for graduate courses in statistics or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences, the book also benefits independent researchers in the behavioral and social sciences and those who teach statistics.

Book A Question of Height Revisited

Download or read book A Question of Height Revisited written by Cheryl G. Swanson and published by . This book was released on 1974 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The Empire of Chance

    Book Details:
  • Author : Gerd Gigerenzer
  • Publisher : Cambridge University Press
  • Release : 1989
  • ISBN : 9780521398381
  • Pages : 364 pages

Download or read book The Empire of Chance written by Gerd Gigerenzer and published by Cambridge University Press. This book was released on 1989 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connects the earliest applications of probability and statistics in gambling and insurance to the most recent applications in law, medicine, polling, and baseball as well as their impact on biology, physics and psychology.

Book BRIDESHEAD REVISITED THE SACRED AND PROFANE MEMORIES OF CAPTAIN CHARLES RYDER

Download or read book BRIDESHEAD REVISITED THE SACRED AND PROFANE MEMORIES OF CAPTAIN CHARLES RYDER written by Evelyn Waugh and published by Alien Ebooks. This book was released on 2023-06-01 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Challenging the Qualitative Quantitative Divide

Download or read book Challenging the Qualitative Quantitative Divide written by Barry Cooper and published by Bloomsbury Publishing. This book was released on 2012-03-08 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book challenges the divide between qualitative and quantitative approaches that is now institutionalized within social science. Rather than suggesting the 'mixing' of methods, Challenging the Qualitative-Quantitative Divide provides a thorough interrogation of the arguments and practices characteristic of both sides of the divide, focusing on how well they address the common problems that all social research faces, particularly as regards causal analysis. The authors identify some fundamental weaknesses in both quantitative and qualitative approaches, and explore whether case-focused analysis - for instance, in the form of Qualitative Comparative Analysis, Analytic Induction, Grounded Theorising, or Cluster Analysis - can bridge the gap between the two sides.

Book Imperial Germany Revisited

Download or read book Imperial Germany Revisited written by Sven Oliver Müller and published by Berghahn Books. This book was released on 2011-09-01 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: The German Empire, its structure, its dynamic development between 1871 and 1918, and its legacy, have been the focus of lively international debate that is showing signs of further intensification as we approach the centenary of the outbreak of World War I. Based on recent work and scholarly arguments about continuities and discontinuities in modern German history from Bismarck to Hitler, well-known experts broadly explore four themes: the positioning of the Bismarckian Empire in the course of German history; the relationships between society, politics and culture in a period of momentous transformations; the escalation of military violence in Germany's colonies before 1914 and later in two world wars; and finally the situation of Germany within the international system as a major political and economic player. The perspectives presented in this volume have already stimulated further argument and will be of interest to anyone looking for orientation in this field of research.

Book Statistical Concepts for the Behavioral Sciences

Download or read book Statistical Concepts for the Behavioral Sciences written by Harold O. Kiess and published by Cambridge University Press. This book was released on 2019-12-19 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fourth edition of Statistical Concepts for the Behavioral Sciences emphasizes contemporary research problems to better illustrate the relevance of statistical analysis in scientific research. All statistical methods are introduced in the context of a realistic problem, many of which are from contemporary published research. These studies are fully referenced so students can easily access the original research. The uses of statistics are then developed and presented in a conceptually logical progression for increased comprehension by using the accompanying workbook and the problem sets. Several forms of practice problems are available to students and presented in a manner that assists students in mastering component pieces before integrating them together to tackle more complicated, real-world problems.

Book The Limits to Growth Revisited

Download or read book The Limits to Growth Revisited written by Ugo Bardi and published by Springer Science & Business Media. This book was released on 2011-05-27 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: “The Limits to Growth” (Meadows, 1972) generated unprecedented controversy with its predictions of the eventual collapse of the world's economies. First hailed as a great advance in science, “The Limits to Growth” was subsequently rejected and demonized. However, with many national economies now at risk and global peak oil apparently a reality, the methods, scenarios, and predictions of “The Limits to Growth” are in great need of reappraisal. In The Limits to Growth Revisited, Ugo Bardi examines both the science and the polemics surrounding this work, and in particular the reactions of economists that marginalized its methods and conclusions for more than 30 years. “The Limits to Growth” was a milestone in attempts to model the future of our society, and it is vital today for both scientists and policy makers to understand its scientific basis, current relevance, and the social and political mechanisms that led to its rejection. Bardi also addresses the all-important question of whether the methods and approaches of “The Limits to Growth” can contribute to an understanding of what happened to the global economy in the Great Recession and where we are headed from there.

Book Principles Of Statistical Inference From A Neo fisherian Perspective

Download or read book Principles Of Statistical Inference From A Neo fisherian Perspective written by Luigi Pace and published by World Scientific Publishing Company. This book was released on 1997-08-05 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, an integrated introduction to statistical inference is provided from a frequentist likelihood-based viewpoint. Classical results are presented together with recent developments, largely built upon ideas due to R.A. Fisher. The term “neo-Fisherian” highlights this.After a unified review of background material (statistical models, likelihood, data and model reduction, first-order asymptotics) and inference in the presence of nuisance parameters (including pseudo-likelihoods), a self-contained introduction is given to exponential families, exponential dispersion models, generalized linear models, and group families. Finally, basic results of higher-order asymptotics are introduced (index notation, asymptotic expansions for statistics and distributions, and major applications to likelihood inference).The emphasis is more on general concepts and methods than on regularity conditions. Many examples are given for specific statistical models. Each chapter is supplemented with problems and bibliographic notes. This volume can serve as a textbook in intermediate-level undergraduate and postgraduate courses in statistical inference.

Book All of Statistics

    Book Details:
  • Author : Larry Wasserman
  • Publisher : Springer Science & Business Media
  • Release : 2013-12-11
  • ISBN : 0387217363
  • Pages : 446 pages

Download or read book All of Statistics written by Larry Wasserman and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.