Beyond Significance Testing Reforming Data Analysis Methods In Behavioral Research

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 : 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 : Guilford Press
ISBN 13 : 1606235966
Total Pages : 383 pages
Book Rating : 4.66/5 ( download)

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Download or read book Becoming a Behavioral Science Researcher written by Rex B. Kline and published by Guilford Press. This book was released on 2008-08-21 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has been replaced by Becoming a Behavioral Science Researcher, Second Edition, ISBN 978-1-4625-3879-9.

Author : Robert Rosenthal
Publisher : McGraw-Hill Humanities, Social Sciences & World Languages
ISBN 13 :
Total Pages : 728 pages
Book Rating : 4.65/5 ( download)

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Download or read book Essentials of Behavioral Research written by Robert Rosenthal and published by McGraw-Hill Humanities, Social Sciences & World Languages. This book was released on 1991 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an advanced undergraduate - or postgraduate - level text designed for courses in research methods and intermediate quantitative methods offered in departments of psychology, education, sociology and communication. Equally emphasizing the collection and analysis of research data, students should be able to plan an original study, collect and analyze data and report the results of the study in a professional manner.

Author : Dr Roomi Rani, Dr Vaishali, Dr Hardeep Kaur
Publisher : Archers & Elevators Publishing House
ISBN 13 : 9390996090
Total Pages : pages
Book Rating : 4.94/5 ( download)

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Download or read book Emerging Trends in Social Sciences Research Vol-1 written by Dr Roomi Rani, Dr Vaishali, Dr Hardeep Kaur and published by Archers & Elevators Publishing House. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Michael J. Albers
Publisher : John Wiley & Sons
ISBN 13 : 111929018X
Total Pages : 234 pages
Book Rating : 4.86/5 ( download)

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Download or read book Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences written by Michael J. Albers and published by John Wiley & Sons. This book was released on 2017-04-03 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Guides readers through the quantitative data analysis process including contextualizing data within a research situation, connecting data to the appropriate statistical tests, and drawing valid conclusions Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences presents a clear and accessible introduction to the basics of quantitative data analysis and focuses on how to use statistical tests as a key tool for analyzing research data. The book presents the entire data analysis process as a cyclical, multiphase process and addresses the processes of exploratory analysis, decision-making for performing parametric or nonparametric analysis, and practical significance determination. In addition, the author details how data analysis is used to reveal the underlying patterns and relationships between the variables and connects those trends to the data’s contextual situation. Filling the gap in quantitative data analysis literature, this book teaches the methods and thought processes behind data analysis, rather than how to perform the study itself or how to perform individual statistical tests. With a clear and conversational style, readers are provided with a better understanding of the overall structure and methodology behind performing a data analysis as well as the needed techniques to make informed, meaningful decisions during data analysis. The book features numerous data analysis examples in order to emphasize the decision and thought processes that are best followed, and self-contained sections throughout separate the statistical data analysis from the detailed discussion of the concepts allowing readers to reference a specific section of the book for immediate solutions to problems and/or applications. Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences also features coverage of the following: • The overall methodology and research mind-set for how to approach quantitative data analysis and how to use statistics tests as part of research data analysis • A comprehensive understanding of the data, its connection to a research situation, and the most appropriate statistical tests for the data • Numerous data analysis problems and worked-out examples to illustrate the decision and thought processes that reveal underlying patterns and trends • Detailed examples of the main concepts to aid readers in gaining the needed skills to perform a full analysis of research problems • A conversational tone to effectively introduce readers to the basics of how to perform data analysis as well as make meaningful decisions during data analysis Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences is an ideal textbook for upper-undergraduate and graduate-level research method courses in the behavioral and social sciences, statistics, and engineering. This book is also an appropriate reference for practitioners who require a review of quantitative research methods. Michael J. Albers, Ph.D., is Professor in the Department of English at East Carolina University. His research interests include information design with a focus on answering real-world questions, the presentation of complex information, and human–information interaction. Dr. Albers received his Ph.D. in Technical Communication and Rhetoric from Texas Tech University.

Author : Lisa L. Harlow
Publisher : Routledge
ISBN 13 : 1317242858
Total Pages : 396 pages
Book Rating : 4.57/5 ( 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 396 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 : Gideon Keren
Publisher : Psychology Press
ISBN 13 : 1317759982
Total Pages : 587 pages
Book Rating : 4.80/5 ( download)

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Download or read book A Handbook for Data Analysis in the Behaviorial Sciences written by Gideon Keren and published by Psychology Press. This book was released on 2014-01-14 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methodology is often conceived by social scientists in a technical manner; they use it for support rather than for illumination. This two-volume set attempts to provide some partial remedy to the problems that have led to this state of affairs. Both traditional issues, such as analysis of variance and the general linear model, as well as more novel methods like exploratory data analysis, are included. The editors aim to provide an updated survey on different aspects of empirical research and data analysis, facilitate the understanding of the internal logic underlying different methods, and provide novel and broader perspectives beyond what is usually covered in traditional curricula.

Author : Jason W. Osborne
Publisher : SAGE
ISBN 13 : 1412940656
Total Pages : 609 pages
Book Rating : 4.58/5 ( download)

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Download or read book Best Practices in Quantitative Methods written by Jason W. Osborne and published by SAGE. This book was released on 2008 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.

Author : Rick Gurnsey
Publisher : SAGE Publications
ISBN 13 : 1506305172
Total Pages : 721 pages
Book Rating : 4.72/5 ( download)

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Download or read book Statistics for Research in Psychology written by Rick Gurnsey and published by SAGE Publications. This book was released on 2017-08-11 with total page 721 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics for Research in Psychology offers an intuitive approach to statistics based on estimation for interpreting research in psychology. This innovative text covers topic areas in a traditional sequence but gently shifts the focus to an alternative approach using estimation, emphasizing confidence intervals, effect sizes, and practical significance, with the advantages naturally emerging in the process. Frequent opportunities for practice and step-by-step instructions for using Excel, SPSS, and R in appendices will help readers come away with a better understanding of statistics that will allow them to more effectively evaluate published research and undertake meaningful research of their own.