附註:Includes bibliographical references and indexes.
List of Figures and Tables; Preface; 1 Introduction; 2 Multivariate Themes; 3 Background Themes; 4 Multiple Regression; 5 Analysis of Covariance; 6 Matrices and Multivariate Methods; 7 Multivariate Analysis of Variance; 8 Discriminant Function Analysis; 9 Logistic Regression; 10 Canonical Correlation; 11 Principal Components and Factor Analysis; 12 Integration of Multivariate Methods; Author Index; Subject Index.
摘要:The Essence of Multivariate Thinking is intended to make multivariate statistics more accessible to a wide audience. To encourage a more thorough understanding of multivariate methods, author Lisa Harlow suggests basic themes that run through most statistical methodology. The most pervasive theme is multiplicity. The author argues that the use of multivariate methods encourages multiple ways of investigating phenomena. She explains that widening our lens to identify multiple theories, constructs, measures, samples, methods, and time points provide greater reliability and validity in our resear.
