Beyond Significance Testing
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Beyond Significance Testing
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Author : Rex B. Kline
language : en
Publisher: American Psychological Association (APA)
Release Date : 2015-05-09
Beyond Significance Testing written by Rex B. Kline and has been published by American Psychological Association (APA) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-09 with Electronic books categories.
Rev ed. of: Beyond significance testing: reforming data analysis methods in behavioral research. c2004.
Beyond Significance Testing Reforming Data Analysis Methods In Behavioral Research
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Author : Rex B. Kline
language : en
Publisher: Amer Psychological Assn
Release Date : 2004-01-01
Beyond Significance Testing Reforming Data Analysis Methods In Behavioral Research written by Rex B. Kline and has been published by Amer Psychological Assn this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-01 with Psychology categories.
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.
Studyguide For Beyond Significance Testing
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Author : Cram101 Textbook Reviews
language : en
Publisher: Cram101
Release Date : 2013-08
Studyguide For Beyond Significance Testing written by Cram101 Textbook Reviews and has been published by Cram101 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08 with categories.
Never HIGHLIGHT a Book Again! Includes all testable terms, concepts, persons, places, and events. Cram101 Just the FACTS101 studyguides gives all of the outlines, highlights, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanies: 9781433812781. This item is printed on demand.
Beyond Significance Testing
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Author : Rex B. Kline
language : en
Publisher: Amer Psychological Assn
Release Date : 2013
Beyond Significance Testing written by Rex B. Kline and has been published by Amer Psychological Assn this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Psychology categories.
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.
Beyond Statistical Significance
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Author : Michel Wedel
language : en
Publisher:
Release Date : 2023
Beyond Statistical Significance written by Michel Wedel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
A crisis of confidence in research findings in consumer psychology and other academic disciplines has led to various proposals to abandon, replace, strengthen, or supplement the null hypothesis significance testing paradigm. The proliferation of such proposals, and their often- conflicting recommendations, can increase confusion among researchers. We aim to bring some clarity by proposing five simple principles for the new era of data analysis and reporting of research in consumer psychology. We avoid adding to researchers' confusion and proposing more onerous or rigid standards. Our goal is to offer straightforward practical principles that are easy for researchers to keep in mind while analyzing their data and reporting their findings. These principles involve 1) interpreting p-values as continuous measures of the strength of evidence, 2) being aware of assumptions that determine whether one can rely on p-values, 3) using theory to establish the applicability of findings to new settings, 4) employing multiple measures of evidence and various processes to obtain them, but assigning special privilege to none, 5) reporting procedures and findings transparently and completely. We hope that these principles provide researchers with some guidance and help to strengthen the reliability of the conclusions derived from their data, analyses, and findings.
Tests Of Significance
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Author : Ramon E. Henkel
language : en
Publisher: SAGE
Release Date : 1976-09
Tests Of Significance written by Ramon E. Henkel and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976-09 with Business & Economics categories.
An elementary introduction to significance testing, this paper provides a conceptual and logical basis for understanding these tests.
Beyond Tests Of Significance
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Author : Graham M. Vaughan
language : en
Publisher:
Release Date : 1970
Beyond Tests Of Significance written by Graham M. Vaughan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Analysis of variance categories.
Statistical Significance Testing For Natural Language Processing
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Author : Rotem Dror
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Statistical Significance Testing For Natural Language Processing written by Rotem Dror and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Computers categories.
Data-driven experimental analysis has become the main evaluation tool of Natural Language Processing (NLP) algorithms. In fact, in the last decade, it has become rare to see an NLP paper, particularly one that proposes a new algorithm, that does not include extensive experimental analysis, and the number of involved tasks, datasets, domains, and languages is constantly growing. This emphasis on empirical results highlights the role of statistical significance testing in NLP research: If we, as a community, rely on empirical evaluation to validate our hypotheses and reveal the correct language processing mechanisms, we better be sure that our results are not coincidental. The goal of this book is to discuss the main aspects of statistical significance testing in NLP. Our guiding assumption throughout the book is that the basic question NLP researchers and engineers deal with is whether or not one algorithm can be considered better than another one. This question drives the field forward as it allows the constant progress of developing better technology for language processing challenges. In practice, researchers and engineers would like to draw the right conclusion from a limited set of experiments, and this conclusion should hold for other experiments with datasets they do not have at their disposal or that they cannot perform due to limited time and resources. The book hence discusses the opportunities and challenges in using statistical significance testing in NLP, from the point of view of experimental comparison between two algorithms. We cover topics such as choosing an appropriate significance test for the major NLP tasks, dealing with the unique aspects of significance testing for non-convex deep neural networks, accounting for a large number of comparisons between two NLP algorithms in a statistically valid manner (multiple hypothesis testing), and, finally, the unique challenges yielded by the nature of the data and practices of the field.
Statistical Inference As Severe Testing
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Author : Deborah G. Mayo
language : en
Publisher: Cambridge University Press
Release Date : 2018-09-20
Statistical Inference As Severe Testing written by Deborah G. Mayo 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 2018-09-20 with Mathematics categories.
Unlock today's statistical controversies and irreproducible results by viewing statistics as probing and controlling errors.
Applied Social Science Approaches To Mixed Methods Research
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Author : Baran, Mette Lise
language : en
Publisher: IGI Global
Release Date : 2019-10-25
Applied Social Science Approaches To Mixed Methods Research written by Baran, Mette Lise and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-25 with Reference categories.
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.