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: Methods for Researchers and Social Scientists, Second Edition.
Updated for JMP 10 and including new features on the statistical platforms, this book offers clearly written instructions to 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 clearly in a way that is suitable for publication, perform a wide range of JMP analyses, interpret the results, and more.
Topics include
- screening data for errors
- selecting subsets
- 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), multiple regression, and a one-way multivariate analysis of variance (MANOVA)
Advanced topics include analyzing models with interactions and repeated measures. There is also comprehensive coverage of principle components with emphasis on graphical interpretation.
This user-friendly book introduces researchers and students of the social sciences to JMP and to elementary statistical procedures, while the more advanced statistical procedures that are presented make it an invaluable reference guide for experienced researchers as well.
Ann Lehman, PhD, joined SAS Institute in 1979 and is retired and working as a JMP consultant doing applications programming and statistical documentation. She has been working with JMP since its inception in 1988. A co-author of JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition, and JMP Start Statistics, Ann has a diverse background that includes editing and writing 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 associate professor with the Interdisciplinary Research in the Mathematical and Computational Sciences (IRMACS) Centre at Simon Fraser University in Burnaby (BC), Canada. He sits on the executive board of the American Psychological Association's Society for Clinical Geropsychology and the National Mental Health Commission of Canada. To date, he has published two governmental reports and seventy peer-reviewed publications in leading gerontology, measurement, and mental health academic journals. As co-applicant, Dr. O'Rourke has been part of teams awarded $4M in research funding, and $1.3M as principal applicant in governmental and foundation funding as team leader.
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. The author of several books dealing with statistics and data analysis, Larry has taught at the college level since 1984 after earning his doctorate in industrial and organizational psychology from Bowling Green State University in 1983.
