| 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. 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 anlayses 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.
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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