[PDF] Reading Statistics And Research eBook

Author : Schuyler W. Huck
Publisher : Allyn & Bacon
Page : 580 pages
File Size : 14,43 MB
Release : 2008
Category : Education
ISBN :

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Reading Statistics and Research, Fifth EditionBy Schuyler W. Huck This text shows consumers of research how to read, understand, and critically evaluate the statistical information and research results contained in technical research reports. The text is also useful for applied researchers who need advice on how to analyze their own data and summarize their empirical findings. Students in education and other disciplines need to learn how to interpret and use statistics and research, but often they do not have any way to begin this process. This text clearly and methodically presents basic statistical and research concepts and illustrates how to employ them in making sound educational decisions. Excerpts from more than 500 recent research articles are presented, analyzed, and discussed to illustrate concepts, while numerous cases, terms, and review questions help guide the discussion. Features of this text include: More than 500 boxed excerpts from recent research articles (including tables, figures, and portions of textual material) illustrate concepts, good practice, and common mistakes. End-of-chapter summaries of two research studies in Research NavigatorTM (online component), each asking the reader to propose the study's main finding. Discussion about the quality of research results as they relate to the quality of the data used in computer programs ("garbage in, garbage out" concerns). Repeated cautions that studies can yield statistical significance without showing anything that is significant in a practical (or "clinical") sense. Many excerpts from studies having topics of likely interest to the reader (e.g., gossiping at work, students' locus-of-control and GPA, ability to recall dreams). "I love this book. I first worked with an earlier edition when I was a doctoral student. I continue to share it with my own graduate students."-Bob Ives, University of Nevada, Reno

Author : Schuyler W. Huck
Publisher : Allyn & Bacon
Page : 728 pages
File Size : 13,63 MB
Release : 2000
Category : Business & Economics
ISBN :

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This text explains to consumers of research how to read, understand, and critically evaluate the statistical information contained in technical research reports. Excerpts from over 500 recent research articles are presented and discussed to illustrate concepts.

Author : Larry Hatcher
Publisher : Shadow Finch Media LLC
Page : 632 pages
File Size : 28,48 MB
Release : 2013
Category : Mathematical statistics
ISBN : 9780985867003

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"Advanced Statistics in Research: Reading, Understanding, and Writing Up Data Analysis Results" is the simple, nontechnical introduction to the most complex multivariate statistics presented in empirical research articles. "wwwStatsInResearch.com, " is a companion website that provides free sample chapters, exercises, and PowerPoint slides for students and teachers. A free 600-item test bank is available to instructors. "Advanced Statistics in Research" does not show how to "perform" statistical procedures--it shows how to read, understand, and interpret them, as they are typically presented in journal articles and research reports. It demystifies the sophisticated statistics that stop most readers cold: multiple regression, logistic regression, discriminant analysis, ANOVA, ANCOVA, MANOVA, factor analysis, path analysis, structural equation modeling, meta-analysis--and more. "Advanced Statistics in Research" assumes that you have never had a course in statistics. It begins at the beginning, with research design, central tendency, variability, z scores, and the normal curve. You will learn (or re-learn) the big-three results that are common to most procedures: statistical significance, confidence intervals, and effect size. Step-by-step, each chapter gently builds on earlier concepts. Matrix algebra is avoided, and complex topics are explained using simple, easy-to-understand examples. "Need help writing up your results?" Advanced Statistics in Research shows how data-analysis results can be summarized in text, tables, and figures according to APA format. You will see how to present the basics (e.g., means and standard deviations) as well as the advanced (e.g., factor patterns, post-hoc tests, path models, and more). "Advanced Statistics in Research" is appropriate as a textbook for graduate students and upper-level undergraduates (see supplementary materials at StatsInResearch.com). It also serves as a handy shelf reference for investigators and all consumers of research.

Author : Sumita S. Kaufhold
Publisher : iUniverse
Page : 129 pages
File Size : 14,25 MB
Release : 2013-07-19
Category : Education
ISBN : 1475997957

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This is an beginning book on statistics and research. It could be used by undergraduate students and graduate students alike. The book covers several methods of research including correlational and experimental methods. Rudiments of descriptive statistics and inferential statistics are also presented.

Author : Jeff Sauro
Publisher : Morgan Kaufmann
Page : 374 pages
File Size : 27,33 MB
Release : 2016-07-12
Category : Computers
ISBN : 0128025484

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Quantifying the User Experience: Practical Statistics for User Research, Second Edition, provides practitioners and researchers with the information they need to confidently quantify, qualify, and justify their data. The book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. It addresses questions users face every day, including, Is the current product more usable than our competition? Can we be sure at least 70% of users can complete the task on their first attempt? How long will it take users to purchase products on the website? This book provides a foundation for statistical theories and the best practices needed to apply them. The authors draw on decades of statistical literature from human factors, industrial engineering, and psychology, as well as their own published research, providing both concrete solutions (Excel formulas and links to their own web-calculators), along with an engaging discussion on the statistical reasons why tests work and how to effectively communicate results. Throughout this new edition, users will find updates on standardized usability questionnaires, a new chapter on general linear modeling (correlation, regression, and analysis of variance), with updated examples and case studies throughout. Completely updated to provide practical guidance on solving usability testing problems with statistics for any project, including those using Six Sigma practices Includes new and revised information on standardized usability questionnaires Includes a completely new chapter introducing correlation, regression, and analysis of variance Shows practitioners which test to use, why they work, and best practices for application, along with easy-to-use Excel formulas and web-calculators for analyzing data Recommends ways for researchers and practitioners to communicate results to stakeholders in plain English

Author : Shirley Dowdy
Publisher : John Wiley & Sons
Page : 646 pages
File Size : 13,13 MB
Release : 2011-09-26
Category : Mathematics
ISBN : 0471477427

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Praise for the Second Edition "Statistics for Research has other fine qualities besides superior organization. The examples and the statistical methods are laid out with unusual clarity by the simple device of using special formats for each. The book was written with great care and is extremely user-friendly."—The UMAP Journal Although the goals and procedures of statistical research have changed little since the Second Edition of Statistics for Research was published, the almost universal availability of personal computers and statistical computing application packages have made it possible for today's statisticians to do more in less time than ever before. The Third Edition of this bestselling text reflects how the changes in the computing environment have transformed the way statistical analyses are performed today. Based on extensive input from university statistics departments throughout the country, the authors have made several important and timely revisions, including: Additional material on probability appears early in the text New sections on odds ratios, ratio and difference estimations, repeated measure analysis, and logistic regression New examples and exercises, many from the field of the health sciences Printouts of computer analyses on all complex procedures An accompanying Web site illustrating how to use SAS® and JMP® for all procedures The text features the most commonly used statistical techniques for the analysis of research data. As in the earlier editions, emphasis is placed on how to select the proper statistical procedure and how to interpret results. Whenever possible, to avoid using the computer as a "black box" that performs a mysterious process on the data, actual computational procedures are also given. A must for scientists who analyze data, professionals and researchers who need a self-teaching text, and graduate students in statistical methods, Statistics for Research, Third Edition brings the methodology up to date in a very practical and accessible way.

Author : David Herzog
Publisher : SAGE Publications
Page : 240 pages
File Size : 12,42 MB
Release : 2015-01-29
Category : Language Arts & Disciplines
ISBN : 1483378675

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A practical, skill-based introduction to data analysis and literacy We are swimming in a world of data, and this handy guide will keep you afloat while you learn to make sense of it all. In Data Literacy: A User's Guide, David Herzog, a journalist with a decade of experience using data analysis to transform information into captivating storytelling, introduces students and professionals to the fundamentals of data literacy, a key skill in today’s world. Assuming the reader has no advanced knowledge of data analysis or statistics, this book shows how to create insight from publicly-available data through exercises using simple Excel functions. Extensively illustrated, step-by-step instructions within a concise, yet comprehensive, reference will help readers identify, obtain, evaluate, clean, analyze and visualize data. A concluding chapter introduces more sophisticated data analysis methods and tools including database managers such as Microsoft Access and MySQL and standalone statistical programs such as SPSS, SAS and R.

Author : Alex Reinhart
Publisher : No Starch Press
Page : 177 pages
File Size : 47,2 MB
Release : 2015-03-01
Category : Mathematics
ISBN : 1593276206

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Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong. Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics. You'll find advice on: –Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan –How to think about p values, significance, insignificance, confidence intervals, and regression –Choosing the right sample size and avoiding false positives –Reporting your analysis and publishing your data and source code –Procedures to follow, precautions to take, and analytical software that can help Scientists: Read this concise, powerful guide to help you produce statistically sound research. Statisticians: Give this book to everyone you know. The first step toward statistics done right is Statistics Done Wrong.

Author : Janie H. Wilson
Publisher : SAGE Publications
Page : 441 pages
File Size : 19,83 MB
Release : 2016-07-21
Category : Psychology
ISBN : 1483392163

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This innovative text offers a completely integrated approach to teaching research methods and statistics by presenting a research question accompanied by the appropriate methods and statistical procedures needed to address it. Research questions and designs become more complex as chapters progress, building on simpler questions to reinforce student learning. Using a conversational style and research examples from published works, this comprehensive book walks readers through the entire research process and includes ample pedagogical support for SPSS, Excel, and APA style.

Author : Gerald Watkins Bracey
Publisher : Heinemann Educational Books
Page : 214 pages
File Size : 46,5 MB
Release : 2006
Category : Education
ISBN :

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Stats, stats, stats. It seems everything written about education today is full of stats. With this book, nimble-minded number cruncher and award-winning researcher Gerald Bracey takes your hand and walks you through the process of figuring out the meaning behind the figures. You don't need to be a math whiz to follow Bracey because he writes with clarity and humor, explicitly defining statistical terminology in easy-to-understand language and even offering you thirty-two specific principles for assessing the quality of research as you read it.