Description
Book Synopsis: The book presents an overview of multivariate statistics and their place in research. It describes the appropriate context for -- and the types of empirical questions that can best be addressed by -- each technique or family of techniques, as well as the distribution assumptions that must be met for the analysis to be meaningful. The most commonly used multivariate techniques are examined in detail: multiple regression and correlation, path analysis, principal-components analysis, exploratory and confirmatory factor analysis, multidimensional scaling, analysis of cross-classified data, logistic regression, multivariate an alysis of variance (MANOVA), discriminant analysis, and meta-analysis. Statistical notations are explained, underlying assumptions are described, and terms are defined clearly and understandably. Concepts and symbols are presented with minimal use of formulas and a generous use of real-world research examples. Each chapter also includes suggestions for additional reading and a glossary of statistical and related terms.
Details
If you're looking to enhance your understanding of statistics for research purposes, look no further than our comprehensive book, "Reading & Understanding Multivariate Statistics". This invaluable resource provides an overview of multivariate statistics and their importance in research, equipping you with the knowledge and tools to confidently analyze and interpret complex data.
Whether you're a student diving into the world of statistics or a seasoned researcher, this book covers everything you need to know. It delves into the different contexts in which multivariate techniques are applicable, helping you identify which methods are best suited for your specific empirical questions. Plus, we break down the distribution assumptions that must be met for meaningful analysis, ensuring accuracy in your findings.
With a focus on the most commonly used multivariate techniques, such as multiple regression and correlation, path analysis, and factor analysis, you'll gain a deep understanding of these powerful tools. Our real-world research examples make concepts tangible and relatable, ensuring you can apply what you learn to your own projects.
Worried about getting lost in complex statistical notations and formulas? Rest assured, we've made this book accessible and user-friendly. Terms and symbols are defined clearly, minimizing the use of formulas while maximizing real-world examples. Additionally, each chapter includes suggestions for further reading and a comprehensive glossary to solidify your knowledge.
Take your statistical analysis skills to the next level with "Reading & Understanding Multivariate Statistics". Don't miss out on this opportunity to revolutionize your research. Order your copy now and embark on your journey towards statistical mastery.
Click here to order your copy of "Reading & Understanding Multivariate Statistics" now!
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