The Significance Test Controversy Revisited
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The Significance Test Controversy Revisited
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Author : Bruno Lecoutre
language : en
Publisher: Springer Nature
Release Date : 2022-10-13
The Significance Test Controversy Revisited written by Bruno Lecoutre and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-13 with Mathematics categories.
This book explains the misuses and abuses of Null Hypothesis Significance Tests, which are reconsidered in light of Jeffreys’ Bayesian concept of the role of statistical inference, in experimental investigations. Minimizing the technical aspects, the studies focuses mainly on methodological contributions. The first part of the book gives an overview of the major approaches to statistical testing and an enlightening discussion of the philosophies of Fisher, Neyman-Pearson and Jeffrey. The conceptual and methodological implications of current practices of reporting effect sizes and confidence intervals are also examined and challenged. This sheds new light on the "significance testing controversy" and provides an appropriate Bayesian framework for a comprehensive approach to the analysis and interpretation of experimental data. The second part of the book provides concrete Bayesian routine procedures that bypass common misuses of significance testing and are readily applicable in a wide range of real applications. This approach addresses the need for objective reporting of experimental data, that is acceptable to the scientific community. This is emphasized by the name fiducial (from the Latin fiducia = confidence). The fiducial Bayesian procedures provide the reader with a real opportunity to think sensibly about problems of statistical inference. This book prepares students and researchers to critically read statistical analyses reported in the literature and equips them with an appropriate alternative to the use of significance testing.
The Significance Test Controversy Revisited
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Author : Bruno Lecoutre
language : en
Publisher: Springer
Release Date : 2014-08-07
The Significance Test Controversy Revisited written by Bruno Lecoutre and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-07 with Mathematics categories.
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.
Fundamentals Of Statistical Inference
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Author : Norbert Hirschauer
language : en
Publisher: Springer Nature
Release Date : 2022-08-18
Fundamentals Of Statistical Inference written by Norbert Hirschauer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-18 with Mathematics categories.
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.
Bayesian Data Analysis For Animal Scientists
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Author : Agustín Blasco
language : en
Publisher: Springer
Release Date : 2017-08-30
Bayesian Data Analysis For Animal Scientists written by Agustín Blasco and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-30 with Technology & Engineering categories.
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.
What If There Were No Significance Tests
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Author : Lisa L. Harlow
language : en
Publisher: Routledge
Release Date : 2016-03-02
What If There Were No Significance Tests written by Lisa L. Harlow and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-02 with Psychology categories.
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.
A Question Of Height Revisited
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Author : Cheryl G. Swanson
language : en
Publisher:
Release Date : 1974
A Question Of Height Revisited written by Cheryl G. Swanson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with Body size categories.
Challenging The Qualitative Quantitative Divide
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Author : Barry Cooper
language : en
Publisher: Bloomsbury Publishing
Release Date : 2012-03-08
Challenging The Qualitative Quantitative Divide written by Barry Cooper and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-08 with Education categories.
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.
Research Concepts For Management Studies
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Author : Alan Berkeley Thomas
language : en
Publisher: Routledge
Release Date : 2006-09-27
Research Concepts For Management Studies written by Alan Berkeley Thomas and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-27 with Business & Economics categories.
This excellent companion volume to Research Skills for Management Studies (Routledge, 2003) provides students with an in-depth introduction to five key research concepts and the constellation of ideas in which they are situated.
Statistical Misconceptions
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Author : Schuyler W. Huck
language : en
Publisher: Routledge
Release Date : 2015-11-19
Statistical Misconceptions written by Schuyler W. Huck and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-19 with Psychology categories.
This engaging book helps readers identify and then discard 52 misconceptions about data and statistical summaries. The focus is on major concepts contained in typical undergraduate and graduate courses in statistics, research methods, or quantitative analysis. Interactive Internet exercises that further promote undoing the misconceptions are found on the book's website. The author’s accessible discussion of each misconception has five parts: The Misconception - a brief description of the misunderstanding Evidence that the Misconception Exists – examples and claimed prevalence Why the Misconception is Dangerous – consequence of having the misunderstanding Undoing the Misconception - how to think correctly about the concept Internet Assignment - an interactive activity to help readers gain a firm grasp of the statistical concept and overcome the misconception. The book's statistical misconceptions are grouped into 12 chapters that match the topics typically taught in introductory/intermediate courses. However, each of the 52 discussions is self-contained, thus allowing the misconceptions to be covered in any order without confusing the reader. Organized and presented in this manner, the book is an ideal supplement for any standard textbook. An ideal supplement for undergraduate and graduate courses in statistics, research methods, or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences. The book also appeals to independent researchers interested in undoing their statistical misconceptions.
The Empire Of Chance
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Author : Gerd Gigerenzer
language : en
Publisher: Cambridge University Press
Release Date : 1989
The Empire Of Chance written by Gerd Gigerenzer and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with History categories.
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.