| Description |
1 online resource (xiv, 475 pages) : illustrations |
| Contents |
Cover; Title page; Copyright page; PREFACE; CHAPTER ONE: OVERVIEW OF MULTIVARIATE AND REGRESSION METHODS; 1.1 INTRODUCTION; 1.2 MULTIVARIATE METHODS AS AN EXTENSION OF FAMILIAR UNIVARIATE METHODS; 1.3 MEASUREMENT SCALES AND DATA TYPES; 1.4 FOUR BASIC DATA SET STRUCTURES FOR MULTIVARIATE ANALYSIS; 1.5 PICTORIAL OVERVIEW OF MULTIVARIATE METHODS; 1.6 CORRELATIONAL VERSUS EXPERIMENTAL METHODS; 1.7 OLD VERSUS NEW METHODS; 1.8 SUMMARY; CHAPTER TWO: THE SEVEN HABITS OF HIGHLY EFFECTIVE QUANTS: A REVIEW OF ELEMENTARY STATISTICS USING MATRIX ALGEBRA; 2.1 INTRODUCTION |
| Summary |
An insightful guide to understanding and visualizing multivariate statistics using SAS®, STATA®, and SPSS® Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for understanding data in the social and biobehavioral sciences. Using real-world data and the latest software applications, the book addresses the topic in a comprehensible and hands-on manner, making complex mathematical concepts accessible to readers. The authors promote the importance of clear, well-designed graphics in the scientific process |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Social sciences -- Statistical methods.
|
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Multivariate analysis.
|
|
Multivariate Analysis
|
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SOCIAL SCIENCE -- Methodology.
|
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Multivariate analysis
|
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Social sciences -- Statistical methods
|
| Form |
Electronic book
|
| ISBN |
9781118131596 |
|
1118131592 |
|
9781118131626 |
|
1118131622 |
|
0470537566 |
|
9780470537565 |
|
9781118131619 |
|
1118131614 |
|
