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Making Sense of Multivariate Data Analysis : An Intuitive Approach by John Spicer (2004, Hardcover)

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Language: English. Number of Pages: 256. Weight: 1.03 lbs. Publication Date: 2004-08-24. Publisher: SAGE PUBN.

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Making Sense of Multivariate Data Analysis is a short introduction to multivariate data analysis (MDA) for students and practitioners in the behavioral and social sciences. It provides a conceptual overview of the foundations of MDA and of a range of specific techniques including multiple regression, logistic regression, discriminant analysis, multivariate analysis of variance, factor analysis, and log-linear analysis. As a conceptual introduction, the book assumes no prior statistical knowledge, and contains very few symbols or equations. Its primary objective is to expose the conceptual unity of MDA techniques both in their foundations and in the common analytic strategies that lie at the heart of all of the techniques. Although introductory, the book encourages the reader to reflect critically on the general strengths and limitations of MDA techniques. Each chapter includes references for further reading accessible to the beginner. This is an ideal text for advanced undergraduate and graduate courses across the social sciences. Practitioners who need to refresh their knowledge of MDA will also find this an invaluable resource.

Product Identifiers

Publisher
SAGE Publications, Incorporated
ISBN-10
1412909155
ISBN-13
9781412909150
eBay Product ID (ePID)
30513844

Product Key Features

Author
John Spicer
Publication Name
Making Sense of Multivariate Data Analysis : an Intuitive Approach
Format
Hardcover
Language
English
Publication Year
2004
Type
Textbook
Number of Pages
256 Pages

Dimensions

Item Length
9.1in
Item Height
0.7in
Item Width
6in
Item Weight
16 Oz

Additional Product Features

Lc Classification Number
Ha29.S6547 2004
Reviews
SThis book is a helpful guide to reading and understanding multivariate data analysis results in social and psychological research., Spicer's book is a superb overview of multivariate statistics, but without formulas. Even though he is trying to offer a nontechnical overview of multivariate analyses, he doesn't shortchange the reader in any way. As much as you might know about stat, you'll learn some more here., 'eoeThis book serves as a resource for readers who want to have an overall view of what encompasses multivariate analyses. The author has discussed some important issues rather philosophically (e.g., theory vs. data analysis). These points are valuable even for readers who have extensive training with multivariate analyses.'e�, This book is a helpful guide to reading and understanding multivariate data analysis results in social and psychological research., eoeThis book is a helpful guide to reading and understanding multivariate data analysis results in social and psychological research.e, 'eoeThis book is a helpful guide to reading and understanding multivariate data analysis results in social and psychological research.'e�, eoeThis book serves as a resource for readers who want to have an overall view of what encompasses multivariate analyses. The author has discussed some important issues rather philosophically (e.g., theory vs. data analysis). These points are valuable even for readers who have extensive training with multivariate analyses.e, This book serves as a resource for readers who want to have an overall view of what encompasses multivariate analyses. The author has discussed some important issues rather philosophically (e.g., theory vs. data analysis). These points are valuable even for readers who have extensive training with multivariate analyses., SThis book serves as a resource for readers who want to have an overall view of what encompasses multivariate analyses. The author has discussed some important issues rather philosophically (e.g., theory vs. data analysis). These points are valuable even for readers who have extensive training with multivariate analyses., "Spicer's book is a superb overview of multivariate statistics, but without formulas. Even though he is trying to offer a nontechnical overview of multivariate analyses, he doesn't shortchange the reader in any way. As much as you might know about stat, you'll learn some more here." , This book is a helpful guide to reading and understanding multivariate data analysis results in social and psychological research.”, This book serves as a resource for readers who want to have an overall view of what encompasses multivariate analyses. The author has discussed some important issues rather philosophically (e.g., theory vs. data analysis). These points are valuable even for readers who have extensive training with multivariate analyses.”
Table of Content
PrefacePart I. The Core Ideas1. What Makes a Difference? 1. 1 Analyzing Data in the Form of Scores 1.2 Analyzing Data in the Form of Categories 1.3 Further Reading2. Deciding Whether Differences Are Trustworthy 2.1 Sampling Issues 2.2 Measurement Issues 2.3 The Role of Chance 2.4 Statistical Assumptions 2.5 Further Reading3. Accounting for Differences in a Complex World 3.1 Limitations of Bivariate Analysis 3.2 The Multivariate Strategy 3.3 Common Misinterpretations of Multivariate Analyses 3.4 Further ReadingPart II. The Techniques4. Multiple Regression 4.1 The Composite Variable in Multiple Regression 4.2 Standard Multiple Regression in Action 4.3 Trustworthiness in Regression Analysis 4.4 Accommodating Other Types of Independent Variables 4.5 Sequential Regression Analysis 4.6 Further Reading5. Logistic Regression and Discriminant Analysis 5.1 Logistic Regression 5.2 Discriminant Analysis 5.3 Further Reading6. Multivariate Analysis of Variance 6.1 One-Way Analysis of Variance 6.2 Factorial Analysis of Variance 6.3 Multivariate Analysis of Variance 6.4 Within-Subjects ANOVA and MANOVA 6.5 Issues of Trustworthiness in MANOVA 6.6 Analysis of Covariance 6.7 Further Reading7. Factor Analysis 7.1 The Composite Variable in Factor Analysis 7.2 Factor Analysis in Action 7.3 Issues of Trustworthiness in Factor Analysis7.4 Confirmatory Factor Analysis 7.5 Further Reading8. Log-Linear Analysis 8.1 Hierarchical Log-Linear Analysis 8.2 Trustworthiness in Log-Linear Analysis 8.3 Log-Linear Analysis With a Dependent Variable: Logit Analysis 8.4 Further ReadingBibliographyIndexAbout the Author
Copyright Date
2004
Topic
Probability & Statistics / Multivariate Analysis, Research, Statistics
Lccn
2004-007119
Dewey Decimal
519.5/35
Intended Audience
College Audience
Dewey Edition
22
Illustrated
Yes
Genre
Mathematics, Social Science

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Making Sense of Multivariate Data Analysis : An Intuitive Approach by John Spicer (2004, Hardcover)

About this product

Product Information

Product Identifiers

Product Key Features

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Additional Product Features

All listings for this product

item 1 Making Sense of Multivariate Data Analysis : An Intuitive Approac

item 2 Making Sense of Multivariate Data Analysis : An Intuitive Approac

item 3 MAKING SENSE OF MULTIVARIATE DATA ANALYSIS: AN INTUITIVE By John Spicer VG+

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Best Selling in Textbooks

Desk Reference to the Diagnostic Criteria from DSM-5-TR by American Psychiatric Association (2022, Trade Paperback)

PMBOK® Guide Ser.: Guide to the Project Management Body of Knowledge (PMBOK Guide) and the Standard for Project Management by Project Management Institute (2021, Trade Paperback)

Self Heal by Design : The Role of Micro-organisms for Health by Barbara O'Neill (2018, Trade Paperback)

Diagnostic and Statistical Manual of Mental Disorders DSM-5-TR by American Psychiatric Association (2022, Trade Paperback)

Cognitive Behavior Therapy : Basics and Beyond by Judith S. Beck (2020, Hardcover)

NFPA 70® Handbook with Tabs : 2023 Edition by National Fire Protection Association (NFPA) (2022, Hardcover)

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