Doing statistics in JMP has never been easier! Learn how to manage JMP data and perform the statistical analyses most commonly used in research in the social sciences and other fields with JMP for Basic Univariate and Multivariate Statistics: A Step-by-Step Guide, authored by Ann Lehman, Norm O'Rourke, Larry Hatcher, and Edward Stepanski. Clearly written instructions guide you through the basic concepts of research and data analysis, enabling you to easily perform statistical analyses and solve problems in real-world research. Step by step, you'll discover how to obtain descriptive and inferential statistics, summarize results, perform a wide range of JMP analyses, interpret the results, and more. Topics include: screening data for errors and selecting subsets with the JMP Distribution platform, computing the coefficient alpha reliability index (Cronbach's alpha) for a multiple-item scale, performing bivariate analyses for all types of variables, performing a one-way analysis of variance (ANOVA), performing a multiple regression, and using the JMP Fit Model platform to perform a one-way multivariate analysis of variance (MANOVA). This user-friendly book introduces researchers and students of the social sciences to JMP and to elementary statistical procedures, while more advanced statistical procedures that are presented make it an invaluable reference guide for experienced researchers as well.
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The social sciences context for this book provides an easy path for any manager, scientist, or engineer in any field to obtain a nearly complete understanding of the entire field of multivariate statistics. This book will become one of my definitive texts, well thumbed and worn. I found the statistics primer at the beginning of the book, with its precise definition of measurement scale types, clear and crisp. The number of realistic examples will build any JMP user's competency and expertise. This book is ideal for both beginning and advanced JMP users. For the serious researcher it comes with some weighty topics, such as repeated-measures designs, between-subjects factors, suppressor variables, correlated predictor variables, and Cronbach's alpha. I would recommend this book to anyone who wants to achieve a high level mastery in the field of multivariate statistics in a short period of time. --Wm. Gray McQuarrie, Grayrock & Associates LLC
JMP for Basic Univariate and Multivariate Statistics: A Step-by Step Guide is not only a manual that assists the reader with the use of SAS JMP software application, but it also leads to a better understanding of the basic research and analyses concepts and procedures. I was particularly impressed with the book's discussion and guidance in the computation of effect size, an analysis that has become quite popular in education and other fields in the last few years. --David Lillie, Ed.D., Center for School Leadership Development, University of North Carolina at Chapel Hill
There are a number of positive features to the text. I like the inclusion of the first chapter on basic concepts in research and data analysis. Many 'how to' computer guides do not include such material. In the same vein, I like the way they have included a 'case study' at the beginning of the presentation of most statistical procedures. For example, Chapter 7 gives some basic information about t tests, provides an example, and reviews/reinforces how to enter data. The 'sample' presentations of results at the ends of the chapters are a nice touch. I look forward to using this book and program more in the future. --William B. Ware, Ph.D., School of Social Work, University of North Carolina at Chapel Hill
JMP for Basic Univariate and Multivariate Statistics: A Step-by Step Guide is not only a manual that assists the reader with the use of SAS JMP software application, but it also leads to a better understanding of the basic research and analyses concepts and procedures. I was particularly impressed with the book's discussion and guidance in the computation of effect size, an analysis that has become quite popular in education and other fields in the last few years. --David Lillie, Ed.D., Center for School Leadership Development, University of North Carolina at Chapel Hill
There are a number of positive features to the text. I like the inclusion of the first chapter on basic concepts in research and data analysis. Many 'how to' computer guides do not include such material. In the same vein, I like the way they have included a 'case study' at the beginning of the presentation of most statistical procedures. For example, Chapter 7 gives some basic information about t tests, provides an example, and reviews/reinforces how to enter data. The 'sample' presentations of results at the ends of the chapters are a nice touch. I look forward to using this book and program more in the future. --William B. Ware, Ph.D., School of Social Work, University of North Carolina at Chapel Hill
About the Author
Ann Lehman, Ph.D., joined SAS Institute in 1979 and is a senior statistical writer, working with JMP since its inception in 1988. A coauthor of JMP Start Statistics and many other JMP user's manuals, Ann has a diverse background that includes editing and coauthoring SAS user's guides, writing and teaching SAS courses, and serving as technical editor of the JMPer Cable, JMP's technical newsletter.
Norm O'Rourke, Ph.D., R.Psych., is a clinical psychologist and assistant professor in the Department of Gerontology at Simon Fraser University in Vancouver, British Columbia, and an associate member of the SFU Department of Psychology. Norm's areas of research interest include mental illness and well-being, marriage in later life, and test construction and validation.
Larry Hatcher, Ph.D., is a professor of psychology at Saginaw Valley State University in Saginaw, Michigan, where he teaches classes in general psychology, industrial psychology, statistics, and computer applications in data analysis. He is the author of several books on statistics and data analysis.
Edward J. Stepanski, Ph.D., is the director of the Sleep Disorders Service and Research Center at Rush University Medical Center in Chicago and an associate professor of psychology and medicine at Rush Medical College. He uses data warehousing and computer analysis for a variety of research projects aimed at understanding sleep disorders and quantifying sleep-related daytime impairment. Ed has written more than 50 papers and book chapters on sleep disorders medicine.
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Wonderfully clear,
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This review is from: JMP for Basic Univariate and Multivariate Statistics: A Step-by-step Guide (Paperback)
Thanks for making this subject so simple and clear for layman like me. It makes me fall in love again with statistics.
Highly recommended for anyone who needs to analyze data using the multivariate platform.
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Inside This Book
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Key Phrases - Capitalized Phrases (CAPs):
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Fit Model, Column Info, Std Dev, Effect Tests, Institute Inc, Summary of Fit, Std Error, Test Value Exact, Pre Post Followup, Std Err Mean, Matched Pairs, Response Specification, Firefighter Knowledge Test, Manova Fit, Run Model, Test Each Column Separately Also, Ratio Prob, Sum of Squares Mean Square, Verbal Ability Test, Display Options, New Property, American Psychological Association, Baseline Survey Post-Treatment Survey Follow-Up Survey, Matching Fit, New York New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
Fit Model, Column Info, Std Dev, Effect Tests, Institute Inc, Summary of Fit, Std Error, Test Value Exact, Pre Post Followup, Std Err Mean, Matched Pairs, Response Specification, Firefighter Knowledge Test, Manova Fit, Run Model, Test Each Column Separately Also, Ratio Prob, Sum of Squares Mean Square, Verbal Ability Test, Display Options, New Property, American Psychological Association, Baseline Survey Post-Treatment Survey Follow-Up Survey, Matching Fit, New York New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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