The Essence of Multivariate Thinking - Lisa L. Harlow

The Essence of Multivariate Thinking

Basic Themes and Methods

(Autor)

Buch | Softcover
344 Seiten
2023 | 3rd edition
Routledge (Verlag)
978-0-367-21972-7 (ISBN)
64,80 inkl. MwSt
Focusing on the underlying themes that run through most multivariate methods, in this fully updated 3rd edition of The Essence of Multivariate Thinking Dr. Harlow shares the similarities and differences among multiple multivariate methods to help ease the understanding of the basic concepts.

The book continues to highlight the main themes that run through just about every quantitative method, describing the statistical features in clear language. Analyzed examples are presented in 12 of the 15 chapters, showing when and how to use relevant multivariate methods, and how to interpret the findings both from an overarching macro- and more specific micro-level approach that includes focus on statistical tests, effect sizes and confidence intervals. This revised 3rd edition offers thoroughly revised and updated chapters to bring them in line with current information in the field, the addition of R code for all examples, continued SAS and SPSS code for seven chapters, two new chapters on structural equation modeling (SEM) on multiple sample analysis (MSA) and latent growth modeling (LGM), and applications with a large longitudinal dataset in the examples of all methods chapters.

Of interest to those seeking clarity on multivariate methods often covered in a statistics course for first-year graduate students or advanced undergraduates, this book will be key reading and provide greater conceptual understanding and clear input on how to apply basic and SEM multivariate statistics taught in psychology, education, human development, business, nursing, and other social and life sciences.

Lisa L. Harlow is a professor emerita of psychology at the University of Rhode Island, USA

I. OVERVIEW

Chapter 1: Introduction and Multivariate Themes

Chapter 2: Background Themes

II. INTERMEDIATE MULTIVARIATE METHODS WITH ONE CONTINUOUS OUTCOME

Chapter 3: Multiple Regression

Chapter 4: Analysis of Covariance

III. MULTIVARIATE GROUP METHODS WITH CATEGORICAL VARIABLE(S)

Chapter 5. Multivariate Analysis of Variance

Chapter 6: Discriminant Function Analysis

Chapter 7: Logistic Regression

IV. MULTIVARIATE DIMENSIONAL METHODS WITH CONTINUOUS VARIABLES

Chapter 8: Principal Components and Factor Analysis

V: STRUCTURAL EQUATION MODELING

Chapter 9: Structural Equation Modeling

Chapter 10: Path Analysis

Chapter 11: Confirmatory Factor Analysis

Chapter 12: Latent Variable Modeling

Chapter 13: Multiple Sample Analysis

Chapter 14: Latent Growth Modeling

VI: SUMMARY

Chapter 15: Integration of Multivariate Methods

Erscheinungsdatum
Reihe/Serie Multivariate Applications Series
Zusatzinfo 138 Tables, black and white; 14 Line drawings, black and white; 20 Halftones, black and white; 34 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 178 x 254 mm
Gewicht 680 g
Themenwelt Geisteswissenschaften Psychologie Allgemeine Psychologie
Mathematik / Informatik Mathematik
Sozialwissenschaften Soziologie Empirische Sozialforschung
ISBN-10 0-367-21972-7 / 0367219727
ISBN-13 978-0-367-21972-7 / 9780367219727
Zustand Neuware
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