A complete introduction to discriminant analysis--extensively revised, expanded, and updated
This Second Edition of the classic book, Applied Discriminant Analysis, reflects and references current usage with its new title, Applied MANOVA and Discriminant Analysis. Thoroughly updated and revised, this book continues to be essential for any researcher or student needing to learn to speak, read, and write about discriminant analysis as well as develop a philosophy of empirical research and data analysis. Its thorough introduction to the application of discriminant analysis is unparalleled.
Offering the most up-to-date computer applications, references, terms, and real-life research examples, the Second Edition also includes new discussions of MANOVA, descriptive discriminant analysis, and predictive discriminant analysis. Newer SAS macros are included, and graphical software with data sets and programs are provided on the book's related Web site.
The book features:
Applied MANOVA and Discriminant Analysis enables the reader to become aware of various types of research questions using MANOVA and discriminant analysis; to learn the meaning of this field's concepts and terms; and to be able to design a study that uses discriminant analysis through topics such as one-factor MANOVA/DDA, assessing and describing MANOVA effects, and deleting and ordering variables.
"synopsis" may belong to another edition of this title.
CARL J. HUBERTY, PhD, is Professor Emeritus in the Department of Educational Psychology and Instructional Technology at The University of Georgia. He received his PhD in statistical methods from The University of Iowa and has written chapters in many books throughout his career.
STEPHEN OLEJNIK, PhD, is Professor in the Department of Educational Psychology and Instructional Technology at The University of Georgia. He received his PhD in educational psychology, applied statistics, and research design from Michigan State University.
"About this title" may belong to another edition of this title.
Book Description Wiley-Interscience. Hardcover. Book Condition: New. Bookseller Inventory # DADAX0471468150
Book Description Wiley-Interscience, 2006. Hardcover. Book Condition: Brand New. 2nd edition. 488 pages. 9.50x6.25x1.00 inches. In Stock. Bookseller Inventory # 0471468150
Book Description Wiley-Interscience. Hardcover. Book Condition: New. Bookseller Inventory # P110471468150
Book Description Wiley-Interscience, 2006. Book Condition: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: List of Figures. List of Tables. Preface to Second Edition. Acknowledgments. Preface to First Edition. Notation. I INTRODUCTION. 1 Discriminant Analysis in Research. 1.1 A Little History. 1.2 Overview. 1.3 Descriptive Discriminant Analysis. 1.4 Predictive Discriminant Analysis. 1.5 Design in Discriminant Analysis. 2 Preliminaries. 2.1 Introduction. 2.2 Research Context. 2.3 Data, Analysis Units, Variables, and Constructs. 2.4 Summarizing Data. 2.5 Matrix Operations. 2.6 Distance. 2.7 Linear Composite. 2.8 Probability. 2.9 Statistical Testing. 2.10 Judgment in Data Analysis. 2.11 Summary. II ONE-FACTOR MANOVA/DDA. 3 Group Separation. 3.1 Introduction. 3.2 Two-Group Analyses. 3.3 Test for Covariance Matrix Equality. 3.4 Yao Test. 3.5 Multiple-Group Analyses-Single Factor. 3.6 Computer Application. 3.7 Summary. 4 Assessing MANOVA Effects. 4.1 Introduction. 4.2 Strength of Association. 4.3 Computer Application I. 4.4 Group Contrasts. 4.5 Computer Application II. 4.6 Covariance Matrix Heterogeneity. 4.7 Sample Size. 4.8 Summary. 5 Describing MANOVA Effects. 5.1 Introduction. 5.2 Omnibus Effects. 5.3 Computer Application I. 5.4 Standardized LDFWeights. 5.5 LDF Space Dimension. 5.6 Computer Application II. 5.7 Computer Application III. 5.8 Contrast Effects. 5.9 Computer Application IV. 5.10 Summary. 6 Deleting and Ordering Variables. 6.1 Introduction. 6.2 Variable Deletion. 6.3 Variable Ordering. 6.4 Contrast Analyses. 6.5 Computer Application II. 6.6 Comments. 7 Reporting DDA Results. 7.1 Introduction. 7.2 Example of Reporting DDA Results. 7.3 Computer Package Information. 7.4 Reporting Terms. 7.5 MANOVA/DDA Applications. 7.6 Concerns. 7.7 Overview. III FACTORIAL MANOVA, MANCOVA, AND REPEATED MEASURES. 8 Factorial MANOVA. 8.1 Introduction. 8.2 Research Context. 8.3 Univariate Analysis. 8.4 Multivariate Analysis. 8.5 Computer Application I. 8.6 Computer Application II. 8.7 Nonorthogonal Design. 8.8 Outcome Variable Ordering and Deletion. 8.9 Summary. 9 Analysis of Covariance. 9.1 Introduction. 9.2 Research Context. 9.3 Univariate ANCOVA. 9.4 Multivariate ANCOVA (MANCOVA). 9.5 Computer Application I. 9.6 Comparing Adjusted Means-Omnibus Test. 9.7 Computer Application II. 9.8 Contrast Analysis. 9.9 Computer Application III. 9.10 Summary. 10 Repeated-Measures Analysis. 10.1 Introduction. 10.2 Research Context. 10.3 Univariate Analyses. 10.4 Multivariate Analysis. 10.5 Computer Application I. 10.6 Univariate and Multivariate Analyses. 10.7 Testing for Sphericity. 10.8 Computer Application II. 10.9 Contrast Analysis. 10.10 Computer Application III. 10.11 Summary. 11 Mixed-Model Analysis. 11.1 Introduction. 11.2 Research Context. 11.3 Univariate Analysis. 11.4 Multivariate Analysis. 11.5 Computer Application I. 11.6 Contrast Analysis. 11.7 Computer Application II. 11.8 Summary. IV GROUP MEMBERSHIP PREDICTION. 12 Classification Basics. 12.1 Introduction. 12.2 Notion of Distance. 12.3 Distance and Classification. 12.4 Classification Rules in General. 12.5 Comments. 13 Multivariate Normal Rules. 13.1 Introduction. 13.2 Normal Density F. Bookseller Inventory # ABE_book_new_0471468150