Since 1995, over 13,000 graduate students and researchers have relied on Reading and Understanding Multivariate Statistics for a basic understanding of the most commonly used multivariate analyses in the research literature today. In Reading and Understanding More Multivariate Statistics, the editors provide the same accessible approach to a new group of multivariate techniques and related topics in measurement. Chapters demystify the use of cluster analysis, Q-technique factor analysis, structural equation modeling, canonical correlation analysis, repeated measures analyses, and survival analysis. Chapter authors describe the research questions for which the statistic is most appropriate, the underlying assumptions and rationale of the analysis, and the logic behind interpreting the results. Designed to clarify each statistic's logic and utility rather than teach hands-on application, the book emphasizes the real-world use of statistical methods with minimal reliance on complex mathematical formulas.
Customer Reviews:
Avg. Customer Rating: 5.0 / 5.0
These guys are great!:
Grimm and Yarnold really offer great, user-friendly explanations of stats. I've used these for 3 years now, and they were great for getting through coursework and dissertation. I highly recommend these books!
Great Statistics Resource:
This book and its companion volume are invaluable resources if you need to understand or work with multivariate statistics. It is easy to read and I would recommend it over any of the required texts that I have had for statistics courses.
I read more - and I understood more!:
Like its predecessor, "Reading and Understanding MORE Multivariate Statistics" achieves exactly what its title implies. Geared toward non-statisticians in behavioral and social science fields, this book provides clear and reasonably simple explanations of common multivariate analyses. This book includes special attention to scales of measurement, reliability and generalizability theory, item response theory, and assessing the validity of measurement. In addition, it covers cluster analysis, Q-technique... more info
