Beyond Significance Testing

Author : Rex B. Kline
Publisher : American Psychological Association (APA)
ISBN 13 : 9781433812798
Total Pages : 363 pages
Book Rating : 4.97/5 ( download)

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Download or read book Beyond Significance Testing written by Rex B. Kline and published by American Psychological Association (APA). This book was released on 2015-05-09 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rev ed. of: Beyond significance testing: reforming data analysis methods in behavioral research. c2004.

Author : Rex B. Kline
Publisher : Amer Psychological Assn
ISBN 13 : 9781591471189
Total Pages : 325 pages
Book Rating : 4.84/5 ( download)

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Download or read book Beyond Significance Testing: Reforming Data Analysis Methods in Behavioral Research written by Rex B. Kline and published by Amer Psychological Assn. This book was released on 2004-01-01 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation "The book is intended for applied researchers and students who may not have quantitative backgrounds. Readers will learn how to measure effect size on continuous or dichotomous outcomes in comparative studies with independent or dependent samples. They will also learn how to calculate and correctly interpret confidence intervals for effect sizes. Numerous research examples from a wide range of areas illustrate how to apply these principles and how to estimate substantive significance instead of just statistical significance. Additional alternatives to statistical tests are described, including meta-analysis, resampling techniques like bootstrapping, and Bayesian estimation."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved.

Author : Rex B. Kline
Publisher : Amer Psychological Assn
ISBN 13 : 9781433812781
Total Pages : 349 pages
Book Rating : 4.89/5 ( download)

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Download or read book Beyond Significance Testing written by Rex B. Kline and published by Amer Psychological Assn. This book was released on 2013 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditional education in statistics that emphasises significance testing leaves researchers and students ill prepared to understand what their results really mean. Specifically, most researchers and students who do not have strong quantitative backgrounds have difficulty understanding outcomes of statistical tests. As more and more people become aware of this problem, the emphasis on statistical significance in the reporting of results is declining. Increasingly, researchers are expected to describe the magnitudes and precisions of their findings and also their practical, theoretical, or clinical significance. This accessibly written book reviews the controversy about significance testing, which has now crossed various disciplines as diverse as psychology, ecology, commerce, education, and biology, among others. It also introduces readers to alternative methods, especially effect size estimation (at both the group and case levels) and interval estimation (confidence intervals) in comparative studies. Basics of bootstrapping and Bayesian estimation are also considered. Research examples from substance abuse, education, learning, and other areas illustrate how to apply these methods. A companion website promotes learning by providing chapter exercises and sample answers, downloadable raw data files for many research examples, and links to other useful websites. New to this edition is coverage of robust statistical methods for parameter estimation, effect size estimation, and interval estimation. A new chapter covers the logic and illogic of significance testing. This edition also addresses recent developments such as the new requirements of some journals for the reporting of effect sizes.

Author : Deborah G. Mayo
Publisher : Cambridge University Press
ISBN 13 : 1108563309
Total Pages : 503 pages
Book Rating : 4.07/5 ( download)

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Download or read book Statistical Inference as Severe Testing written by Deborah G. Mayo and published by Cambridge University Press. This book was released on 2018-09-20 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.

Author : Baran, Mette Lise
Publisher : IGI Global
ISBN 13 : 1799810275
Total Pages : 315 pages
Book Rating : 4.78/5 ( download)

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Download or read book Applied Social Science Approaches to Mixed Methods Research written by Baran, Mette Lise and published by IGI Global. This book was released on 2019-10-25 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research that has been presented primarily by quantitative research can benefit from the voice of the participants and the added value of the different perspective that qualitative research can provide. The purpose of mixed methods research is to draw from the positive aspects of both research paradigms to better answer the research question. This type of research is often used in schools, businesses, and non-profit organizations as they strive to address and resolve questions that will impact their organizations. Applied Social Science Approaches to Mixed Methods Research is an academic research publication that examines more traditional and common research methods and how they can be complimented through qualitative counterparts. The content within this publication covers an array of topics such as entrepreneurship, social media, and marginalization. It is essential for researchers, academicians, non-profit professionals, business professionals, and higher education faculty, and specifically targets master or doctoral students committed to writing their theses, dissertations, or scholarly articles, who may not have had the benefit of working on a traditional research team.

Author : Jacob Cohen
Publisher : Routledge
ISBN 13 : 1134742770
Total Pages : 625 pages
Book Rating : 4.76/5 ( download)

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Download or read book Statistical Power Analysis for the Behavioral Sciences written by Jacob Cohen and published by Routledge. This book was released on 2013-05-13 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.

Author : Paul C. Cozby
Publisher :
ISBN 13 : 9780071113625
Total Pages : 384 pages
Book Rating : 4.22/5 ( download)

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Download or read book Methods in Behavioral Research written by Paul C. Cozby and published by . This book was released on 2003-12 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods in Behavioral Research is a concise introduction to research methods for psychology and behavioral science courses. It has been the best selling title in this course for at least fifteen years, and is considered by many to be the most student-friendly text for research methods-the one that students will read.

Author : Lisa L. Harlow
Publisher : Routledge
ISBN 13 : 131724284X
Total Pages : 436 pages
Book Rating : 4.40/5 ( download)

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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.

Author : Lisa L. Harlow
Publisher : Psychology Press
ISBN 13 : 1317843614
Total Pages : 442 pages
Book Rating : 4.10/5 ( download)

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Download or read book What If There Were No Significance Tests? written by Lisa L. Harlow and published by Psychology Press. This book was released on 2013-10-31 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the result of a spirited debate stimulated by a recent meeting of the Society of Multivariate Experimental Psychology. Although the viewpoints span a range of perspectives, the overriding theme that emerges states that significance testing may still be useful if supplemented with some or all of the following -- Bayesian logic, caution, confidence intervals, effect sizes and power, other goodness of approximation measures, replication and meta-analysis, sound reasoning, and theory appraisal and corroboration. The book is organized into five general areas. The first presents an overview of significance testing issues that sythesizes the highlights of the remainder of the book. The next discusses the debate in which significance testing should be rejected or retained. The third outlines various methods that may supplement current significance testing procedures. The fourth discusses Bayesian approaches and methods and the use of confidence intervals versus significance tests. The last presents the 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.

Author : Kristin H. Jarman
Publisher : John Wiley & Sons
ISBN 13 : 1118856090
Total Pages : 200 pages
Book Rating : 4.93/5 ( download)

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Download or read book Beyond Basic Statistics written by Kristin H. Jarman and published by John Wiley & Sons. This book was released on 2015-04-22 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Features basic statistical concepts as a tool for thinking critically, wading through large quantities of information, and answering practical, everyday questions Written in an engaging and inviting manner, Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know presents the more subjective side of statistics—the art of data analytics. Each chapter explores a different question using fun, common sense examples that illustrate the concepts, methods, and applications of statistical techniques. Without going into the specifics of theorems, propositions, or formulas, the book effectively demonstrates statistics as a useful problem-solving tool. In addition, the author demonstrates how statistics is a tool for thinking critically, wading through large volumes of information, and answering life’s important questions. Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know also features: Plentiful examples throughout aimed to strengthen readers’ understanding of the statistical concepts and methods A step-by-step approach to elementary statistical topics such as sampling, hypothesis tests, outlier detection, normality tests, robust statistics, and multiple regression A case study in each chapter that illustrates the use of the presented techniques Highlights of well-known shortcomings that can lead to false conclusions An introduction to advanced techniques such as validation and bootstrapping Featuring examples that are engaging and non-application specific, the book appeals to a broad audience of students and professionals alike, specifically students of undergraduate statistics, managers, medical professionals, and anyone who has to make decisions based on raw data or compiled results.