Livro - Reading and Understanding More Multivariate Statistics

Since 1995 more than 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.

Designed to clarify each method´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.
Each chapter contains accessible discussions of general principles instructions for interpreting summary tables and a glossary of key terms and statistical notations In Reading and Understanding More Multivariate Statistics, Laurence G Grimm and Paul R. Yarnold have responded to reader requests to provide the same accessible approach to a new group of multivariate techniques and to related topics in measurement.

Chapters demystify the use of cluster analysis, Q-technique factor analysis, structural equation modeling, canonical correlation analysis, repeated measures analysis and survival analysis.

As with the previous volume, chapter authors describe the research questions for which the analysis is most appropriate the underlying assumptions and rationale of the analysis and the logic behind interpreting the results Whether you are a graduate student researcher, or consumer of research this volume is guaranteed to increase your comfort level and confidence in reading and understanding multivariate statistics.