Beyond Significance Testing
Author | : Rex B. Kline |
Publisher | : |
Total Pages | : 323 |
Release | : 2004 |
Genre | : Psychometrics |
ISBN | : |
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Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Beyond Significance Testing Reforming Data Analysis Methods In Behavioral Research PDF full book. Access full book title Beyond Significance Testing Reforming Data Analysis Methods In Behavioral Research.
Author | : Rex B. Kline |
Publisher | : |
Total Pages | : 323 |
Release | : 2004 |
Genre | : Psychometrics |
ISBN | : |
Author | : Rex B. Kline |
Publisher | : American Psychological Association (APA) |
Total Pages | : 363 |
Release | : 2015-05-09 |
Genre | : Electronic books |
ISBN | : 9781433812798 |
Rev ed. of: Beyond significance testing: reforming data analysis methods in behavioral research. c2004.
Author | : Rex B. Kline |
Publisher | : Guilford Press |
Total Pages | : 383 |
Release | : 2008-08-21 |
Genre | : Psychology |
ISBN | : 1606235966 |
This book has been replaced by Becoming a Behavioral Science Researcher, Second Edition, ISBN 978-1-4625-3879-9.
Author | : Rex B. Kline |
Publisher | : Amer Psychological Assn |
Total Pages | : 325 |
Release | : 2004-01-01 |
Genre | : Psychology |
ISBN | : 9781591471189 |
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 | : Michael J. Albers |
Publisher | : John Wiley & Sons |
Total Pages | : 238 |
Release | : 2017-02-21 |
Genre | : Mathematics |
ISBN | : 111929021X |
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 | : Dr Roomi Rani, Dr Vaishali, Dr Hardeep Kaur |
Publisher | : Archers & Elevators Publishing House |
Total Pages | : |
Release | : |
Genre | : Antiques & Collectibles |
ISBN | : 9390996090 |
Author | : David J. Sheskin |
Publisher | : CRC Press |
Total Pages | : 1388 |
Release | : 2020-06-09 |
Genre | : Mathematics |
ISBN | : 1000083276 |
Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition provides researchers, teachers, and students with an all-inclusive reference on univariate, bivariate, and multivariate statistical procedures.New in the Fifth Edition:Substantial updates and new material th
Author | : Jason W. Osborne |
Publisher | : SAGE |
Total Pages | : 609 |
Release | : 2008 |
Genre | : Social Science |
ISBN | : 1412940656 |
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 | : Arthur M. Nezu |
Publisher | : Oxford University Press |
Total Pages | : 513 |
Release | : 2008 |
Genre | : Medical |
ISBN | : 0195304632 |
This edited volume provides both conceptual and practical information for conducting and evaluating evidence-based outcome studies. It encompasses psychotherapy research for traditional mental health disorders (eg. depression, anxiety), as well as psychosocial-based treatments provided to medical patient populations to have impact either on the disease process itself (pain, cardiovascular risk) or to improve the quality of life of such individuals. This is a hands-on book, whose major emphasis is on the practical nuts-and-bolts implementation of psychosocial-based RCTs from conception to completion.
Author | : Joan Welkowitz |
Publisher | : John Wiley & Sons |
Total Pages | : 507 |
Release | : 2010-06-08 |
Genre | : Psychology |
ISBN | : 0470893672 |
A comprehensive and user-friendly introduction to statistics-now revised and updated Introductory Statistics for the Behavioral Sciences has had a long and successful history and is a popular and well-respected statistics text. Now in its sixth edition, the text has been thoroughly revised to present all the topics students in the behavioral sciences need in a uniquely accessible format that aids in the comprehension and implementation of the statistical analyses most commonly used in the behavioral sciences. Using a continuous narrative that explains statistics and tracks a common data set throughout, the authors have developed an innovative approach that makes the material unintimidating and memorable, providing a framework that connects all of the topics in the text and allows for easy comparison of different statistical analyses. New features in this Sixth Edition include: * Different aspects of a common data set are used to illustrate the various statistical methods throughout the text, with an emphasis on drawing connections between seemingly disparate statistical procedures and formulas * Computer exercises based on the same large data set and relevant to that chapter's content. The data set can be analyzed by any available statistical software * New "Bridge to SPSS" sections at the end of each chapter explain, for those using this very popular statistical package, how to perform that chapter's statistical procedures by computer, and how to translate the output from SPSS * New chapters on multiple comparisons and repeated-measures ANOVA