20 Best Books on Multivariate Modelling

“Structural Equation Modeling With Amos: Basic Concepts, Applications, and Programming” Book Review: This book demonstrates the concepts and applications of structural equation modeling in a nonmathematical manner. Its primary goal is to provide readers with an accessible introduction to the fundamental principles of structural equation modeling and its practical uses. The book adopts a user-friendly approach, presenting the material in a simple and easy-to-understand style. It covers a range of ten different applications of structural equation modeling, guiding readers through various stages such as model specification, estimation, and interpretation of the output. By utilizing AMOS, the book showcases the basic applications of SEM and highlights the features of AMOS 4.0. It includes visually appealing schematic representations of models and clearly states the hypotheses being tested in each study. The book offers comprehensive explanations of the AMOS Graphic input models and output files that are relevant to the subject matter.

“Modelling Non-Stationary Economic Time Series: A Multivariate Approach” Book Review: This book serves as a valuable guide and reference for students and graduate economists seeking direction in the field of economics. It comprehensively explores essential topics, including Cointegration, equilibrium, and equilibrium correction, in the context of applying econometrics to real-world scenarios. The book not only elucidates the process of identifying equilibrium relationships but also provides insights into effectively handling structural breaks that occur due to regime changes. It offers practical guidance on addressing situations where variables exhibit different orders of integration.

“On Measuring Global Food Crisis: A Multivariate Modelling Approach” Book Review: This is a comprehensive book that offers valuable insights into measuring and understanding the global food crisis. The author presents a multivariate modelling approach, providing readers with a systematic framework to analyze and assess the complex factors contributing to food insecurity. The book covers various chapters, including an introduction to the global food crisis, data collection and analysis methods, multivariate modelling techniques, and the application of these models to measure and predict food crisis events. This book is a valuable resource for researchers, policymakers, and professionals working in the field of food security and sustainable development.

“Multivariate Data Analysis” Book Review: This book offers the necessary information for students to grasp and apply multivariate data analysis. It serves as an accessible introduction to multivariate analysis from an applications-oriented perspective, specifically designed for non-statisticians. The book effectively guides students in understanding and utilizing the outcomes of various statistical techniques. In its revised edition, the book features well-structured chapters written in clear and straightforward language. New chapters have been included, focusing on the application of structural equation modeling. The book also showcases advancements in technology, expanded capabilities, and various mathematical techniques.

“An Introduction to Multivariate Statistical Analysis” Book Review: This book is a comprehensive and accessible guide to the field of multivariate statistical analysis. The book covers a wide range of topics, including matrix algebra, multivariate normal distribution, principal component analysis, factor analysis, discriminant analysis, clustering, and more. Each chapter provides clear explanations and examples to help readers understand and apply the concepts effectively. With its practical approach and emphasis on real-world applications, this book is an excellent resource for students and researchers in the fields of statistics, data analysis, and related disciplines. Whether you are a beginner or an experienced practitioner, this book provides a solid foundation in multivariate statistical analysis.

“Analyzing Multivariate Data” Book Review: This book is structured into three sections for a comprehensive approach to the subject matter. Each section begins by providing a solid foundation of statistical intuition through various practical applications. To enhance clarity, the book presents numerous illustrative examples. The book discusses the mathematical foundations underlying the discussed topics, utilizing vectors and matrix algebra. Consistency is maintained throughout the chapters, which follow a uniform format. Each chapter commences by discussing a set of fundamental research objectives, accompanied by examples of problems across diverse fields. The book effectively explains the workings of each method, presenting different application techniques and providing interpretation guidelines for the results obtained.

“Applied Multivariate Analysis (Springer Texts in Statistics)” Book Review: This book offers a well-rounded examination of the fundamental theory and various methods employed in applied multivariate analysis. It successfully strikes a balance between theoretical concepts and practical applications. The book covers a wide range of topics, focusing on both the analysis of formal linear multivariate models and exploratory data analysis techniques. Each chapter not only presents the development of essential theoretical results but also provides diverse applications of the discussed methods. The book includes numerous examples drawn from various fields, such as the social and behavioral sciences, as well as other disciplines, further enhancing its relevance and applicability.

“Handbook of Applied Multivariate Statistics and Mathematical Modeling” Book Review: This book showcases the diverse applications of multivariate procedures and mathematical modeling techniques. It provides clear explanations and practical guidance for applied researchers to effectively utilize these procedures, with minimal reliance on the underlying mathematical principles. Focusing on the use of various models and statistical tools, the book aims to assist readers in selecting the appropriate technique for a given task. Each chapter begins by explaning the types of questions that a particular technique can or cannot address. The book focuses on a wide range of examples, spanning from issues relevant to the biological and social sciences to those encountered in the humanities.

“Multivariate Statistical Modelling Based on Generalized Linear Models” Book Review: This book offers an exploration of the utilization of generalized linear models for both univariate and multivariate regression analysis. It delves into cross-sectional analysis, time series, and longitudinal data, providing a thorough introduction to the subject through the analysis of real-world data across various disciplines. The book includes technical details and proofs in an appendix, making it accessible to non-experts. It covers a wide range of generalized models, including those designed for multi-categorical responses. This resource is highly valuable for applied statisticians, graduate students of statistics, and researchers. It serves as a valuable tool for data analysis in the fields of econometrics, biometrics, and the social sciences.

“Applied Univariate, Bivariate, and Multivariate Statistics” Book Review: This book offers an extensive survey of statistical modeling techniques that are highly applicable in the social and behavioral sciences. It adeptly combines statistical theory and methodology with technical aspects of data analysis. The book focuses on a wide range of topics, including fundamental statistical techniques like t-tests and correlation, as well as advanced procedures such as MANOVA, factor analysis, and structural equation modeling. These concepts are presented with detailed formulas and equations to ensure a clear understanding. Serving as an essential textbook in statistics and methodology, it is particularly suited for upper-graduate and graduate-level courses across diverse fields. Researchers and practitioners in various domains can also benefit from the insights and knowledge provided by this book.

“Applied Multivariate Statistical Analysis” Book Review: This is a comprehensive textbook that covers the essential concepts and techniques of multivariate statistical analysis. The book is organized into chapters that explore topics such as matrix algebra, multivariate normal distribution, hypothesis testing, regression analysis, factor analysis, cluster analysis, and more. Each chapter includes clear explanations, practical examples, and exercises to reinforce learning. The book also provides guidance on the use of statistical software for data analysis. With its rigorous yet accessible approach, this book is a valuable resource for students and researchers in the fields of statistics, data analysis, and related disciplines. It equips readers with the necessary skills to apply multivariate statistical methods to real-world problems.

“Applied Multivariate Statistical Analysis” Book Review: The book focuses on the practical applications of high-dimensional data analysis. It presents the tools and concepts used in multivariate data analysis in a clear and accessible manner, catering to non-mathematicians and practitioners. Each chapter includes practical exercises that apply these concepts to different fields of multivariate data analysis. The book provides R and MATLAB codes for all exercises, which can be accessed on the accompanying website.

“Applied Multivariate Statistics for the Social Sciences” Book Review: This book offers a blend of practical and theoretical insights into statistical procedures, accompanied by a variety of examples and datasets. Specifically designed for advanced students, the new edition includes practical guidelines for data analysis, hypothesis testing, result interpretation, and reporting, aiding students in effectively analyzing their research data. With its focus on multivariate statistics, advanced statistics, and quantitative techniques, this book serves as a valuable resource for advanced graduate-level courses in education, psychology, and other social sciences. It serves as an excellent reference for researchers seeking reliable guidance in their statistical analyses.

“Applied Multivariate Statistical Concepts” Book Review: This book serves as a resource, encompassing both classic and cutting-edge multivariate techniques employed in recent research. It is specifically designed for courses on multivariate statistics, advanced statistics, or quantitative techniques, commonly studied in psychology, education, sociology, and business. This book proves invaluable to researchers who may have limited knowledge of multivariate methods. With its accessible writing style and real-world examples, it effectively explains the rationale and practical application of each technique. Each chapter includes a “mathematical snapshot” that highlights the technical aspects of the respective procedure.

“Advanced and Multivariate Statistical Methods: Practical Application and Interpretation” Book Review: This book places focus on the conceptual and practical aspects of multivariate statistics, designed for students who do not require an extensive focus on the underlying mathematical theory. It not only teaches students how to compute the relevant statistics but also guides them in understanding the logic behind each technique. The book provides instruction on how to interpret, present, and report the results obtained from each analysis. To facilitate skill development, the book offers a variety of problems related to the topics, complete with solutions for self-assessment. Numerous solved examples are included throughout the text to aid students in comprehending the material. The book covers a wide range of topics, including an introduction to multivariate statistics, a guide to various multivariate techniques, pre-analysis data screening, factorial analysis of variance, analysis of covariance, multivariate analysis of variance and covariance, multiple regression, path analysis, factor analysis, discriminant analysis, and logistic regression. Appendices are also provided for additional reference.