Hypothesis Testing Reconsidered

Author : Gregory Francis
Publisher : Cambridge University Press
ISBN 13 : 1108605109
Total Pages : pages
Book Rating : 4.06/5 ( download)

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Download or read book Hypothesis Testing Reconsidered written by Gregory Francis and published by Cambridge University Press. This book was released on 2019-05-23 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Hypothesis testing is a common statistical analysis for empirical data generated by studies of perception, but its properties and limitations are widely misunderstood. This Element describes several properties of hypothesis testing, with special emphasis on analyses common to studies of perception. The author also describes the challenges and difficulties with using hypothesis testing to interpret empirical data. Many common applications of hypothesis testing inflate the intended Type I error rate. Other aspects of hypothesis tests have important implications for experimental design. Solutions are available for some of these difficulties, but many issues are difficult to deal with.

Author : Fenna H. Poletiek
Publisher : Psychology Press
ISBN 13 : 1134951582
Total Pages : 177 pages
Book Rating : 4.81/5 ( download)

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Download or read book Hypothesis-testing Behaviour written by Fenna H. Poletiek and published by Psychology Press. This book was released on 2013-05-13 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do people search evidence for a hypothesis? A well documented answer in cognitive psychology is that they search for confirming evidence. However, the rational strategy is to try to falsify the hypothesis. This book critically evaluates this contradiction. Experimental research is discussed against the background of philosophical and formal theories of hypothesis testing with striking results: Falsificationism and verificationism - the two main rival philosophies of testing - come down to one and the same principle for concrete testing behaviour, eluding the contrast between rational falsification and confirmation bias. In this book, the author proposes a new perspective for describing hypothesis testing behaviour - the probability-value model - which unifies the contrasting views. According to this model, hypothesis testers pragmatically consider what evidence and how much evidence will convince them to reject or accept the hypothesis. They might either require highly probative evidence for its acceptance, at the risk of its rejection, or protect it against rejection and go for minor confirming observations. Interestingly, the model refines the classical opposition between rationality and pragmaticity because pragmatic considerations are a legitimate aspect of 'rational' hypothesis testing. Possible future research and applications of the ideas advanced are discussed, such as the modelling of expert hypothesis testing.

Author : Leonard Gaston Ph.D.
Publisher : Leonard Gaston Ph.D.
ISBN 13 :
Total Pages : 571 pages
Book Rating : 4./5 ( download)

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Download or read book Hypothesis Testing Made Simple written by Leonard Gaston Ph.D. and published by Leonard Gaston Ph.D.. This book was released on 2014-03-11 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: This tutorial, directed primarily toward students doing research projects, is intended to help them do four things : (1) Decide if their data gathering activity can yield numerical data that will permit a meaningful hypothesis test. (2) If it will, decide if one of the tests described would be useful. (3) If so, apply that test, and (4) Adequately explain the use of the test so their readers can have confidence in their analysis. It is not intended to be a text for a complete statistics course – only a guide to few relatively simple tests . Complex hypothesis testing procedures are not covered. For example, the discussion of Analysis of Variance (ANOVA) introduces what is called one way ANOVA. Two way ANOVA, a more complex procedure involving the use of blocking variables, is not covered. It simply presents a few commonly used tests and down-to-earth explanations of how to use them. It is intended to be a low cost supplement that can help its reader understand a few commonly-used tests. It was put together on a shoestring by a non-mathematician for the benefit of other non-mathematicians -- or for mathematicians who have forgotten some or all of the statistics they have studied. There are no color illustrations or professionally-prepared charts and graphs. Economy was a guiding principle. Four brief introductory chapters discuss numbers, basic terms, measures of central tendency and dispersion, probability, and data presentation. With that background the book then introduces various tests and explains them in down to earth language.

Author : Ning-Zhong Shi
Publisher : World Scientific
ISBN 13 : 9812814361
Total Pages : 320 pages
Book Rating : 4.64/5 ( download)

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Download or read book Statistical Hypothesis Testing written by Ning-Zhong Shi and published by World Scientific. This book was released on 2008 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents up-to-date theory and methods of statistical hypothesis testing based on measure theory. The so-called statistical space is a measurable space adding a family of probability measures. Most topics in the book will be developed based on this term. The book includes some typical data sets, such as the relation between race and the death penalty verdict, the behavior of food intake of two kinds of Zucker rats, and the per capita income and expenditure in China during the 1978?2002 period. Emphasis is given to the process of finding appropriate statistical techniques and methods of evaluating these techniques.

Author : Bruno Lecoutre
Publisher : Springer
ISBN 13 : 3662440466
Total Pages : 140 pages
Book Rating : 4.69/5 ( download)

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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.

Author : Lee Baker
Publisher : Lee Baker
ISBN 13 :
Total Pages : 33 pages
Book Rating : 4./5 ( download)

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Download or read book Hypothesis Testing written by Lee Baker and published by Lee Baker. This book was released on with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you have a degree in statistics, you probably know how to choose the correct statistical hypothesis test and you might not learn anything from this book. Then again, you just might… Kristen Kehrer, who has a Master’s degree in statistics, said: “Lee Baker has developed a wonderful visual aid which, frankly, I wish I had when I was first learning about all the different types of test statistics”. The aid she’s talking about is a statistical test flow chart that I call The Hypothesis Wheel, and is what you’ll learn about in Hypothesis Testing. If you’re one of the 99% of researchers and analysts who use statistics but have never studied it at University, then this book is for you. Hypothesis Testing is a short guide to learning how to ask all the right questions of your data to help you in choosing the correct statistical hypothesis test, aided by The Hypothesis Wheel. It is a snappy little non-threatening book about everything you ever wanted to know (but were afraid to ask) about choosing the correct hypothesis test, answers the most frequently asked questions and inspires you to take the next steps in your journey. First, I’ll explain what statistical hypothesis testing is in simple terms. Then I’ll show you how to write a good hypothesis for your study. You’ll learn the difference between a scientific hypothesis and a statistical hypothesis, and between the Null and Alternative hypotheses. Then I’ll introduce to you the Hypothesis Wheel and show you how to use it to choose the correct hypothesis test for your study, first time, every time. By the time you’ve read Hypothesis Testing, you’ll know as much about choosing hypothesis tests as a statistician with a PhD! Yes, really. I’ve left nothing out! Hypothesis Testing makes no assumptions about your previous experience and is perfect for beginners and those just getting started with analysing data. Discover the world of hypothesis testing and choosing the correct statistical test. Get this book, TODAY!

Author : David L. Weakliem
Publisher : Guilford Publications
ISBN 13 : 1462525660
Total Pages : 218 pages
Book Rating : 4.69/5 ( download)

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Download or read book Hypothesis Testing and Model Selection in the Social Sciences written by David L. Weakliem and published by Guilford Publications. This book was released on 2016-03-09 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examining the major approaches to hypothesis testing and model selection, this book blends statistical theory with recommendations for practice, illustrated with real-world social science examples. It systematically compares classical (frequentist) and Bayesian approaches, showing how they are applied, exploring ways to reconcile the differences between them, and evaluating key controversies and criticisms. The book also addresses the role of hypothesis testing in the evaluation of theories, the relationship between hypothesis tests and confidence intervals, and the role of prior knowledge in Bayesian estimation and Bayesian hypothesis testing. Two easily calculated alternatives to standard hypothesis tests are discussed in depth: the Akaike information criterion (AIC) and Bayesian information criterion (BIC). The companion website ([ital]www.guilford.com/weakliem-materials[/ital]) supplies data and syntax files for the book's examples.

Author : Knox McCoy
Publisher : Thomas Nelson
ISBN 13 : 0785220968
Total Pages : 273 pages
Book Rating : 4.61/5 ( download)

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Download or read book All Things Reconsidered written by Knox McCoy and published by Thomas Nelson. This book was released on 2020-06-02 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you able to give your first impressions a second look? In this lighthearted and humorous take on life, Knox McCoy explores questioning and examining long-held ideas that no longer represent how we think. What would it mean to really examine what you think you know about yourself and your beliefs? To not just rely on the cliches you’ve always recited to yourself but to look deeply into why you think what you think? In All Things Reconsidered, popular podcaster Knox McCoy uses a unique blend of humor, pop culture references, and personal stories to show how a willingness to reconsider ideas can actually help us grow ourselves, our lives, and our beliefs. In this laugh-out-loud defense of changing your mind, Knox dives into a variety of topics including: Are participation trophies truly the worst? Is it really worth it to be a ride-or-die sports fan? Do we believe in God because of the promise of heaven—or the threat of hell? Does prayer work? Is anyone even there? In a world where we’re divided by political, social, and religious differences, All Things Reconsidered is a hilarious and insightful book of essays that reminds us of the value of reflection and open-mindedness.

Author : Janna D. Fox
Publisher : University of Ottawa Press
ISBN 13 : 0776616315
Total Pages : 191 pages
Book Rating : 4.15/5 ( download)

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Download or read book Language Testing Reconsidered written by Janna D. Fox and published by University of Ottawa Press. This book was released on 2007-06-01 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Language Testing Reconsidered provides a critical update on major issues that have engaged the field of language testing since its inception. Anyone who is working in, studying or teaching language testing should have a copy of this book. The information, discussions, and reflections offered within the volume address major developments within the field over the past decades, enlivened by current "takes" on these issues. The real value of this collection, however, lies in its consideration of the past as a means of defining the future agenda of language testing.

Author : Bruno Lecoutre
Publisher : Springer Nature
ISBN 13 : 3662657058
Total Pages : 206 pages
Book Rating : 4.58/5 ( download)

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Download or read book The Significance Test Controversy Revisited written by Bruno Lecoutre and published by Springer Nature. This book was released on 2022-10-13 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.