Title
Making Sense of Multivariate Data Analysis: An Intuitive Approach,Used
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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 loglinear 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.
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- Q: How many pages are in the book? A: This book contains two hundred fifty-six pages. It provides a comprehensive overview of multivariate data analysis techniques.
- Q: What is the binding type of this book? A: The binding of this book is paperback. This makes it lightweight and easy to carry for students and practitioners.
- Q: What are the dimensions of the book? A: The book measures six inches in length, zero point five seven inches in width, and nine point zero two inches in height. These dimensions make it a convenient size for reading.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It assumes no prior statistical knowledge and is designed for students and practitioners.
- Q: What topics are covered in this book? A: The book covers various techniques including multiple regression, logistic regression, and factor analysis. It provides a conceptual overview of multivariate data analysis.
- Q: Does the book include practical examples? A: Yes, the book includes practical examples to help readers understand the concepts. It emphasizes the conceptual unity of multivariate data analysis techniques.
- Q: How should I store this book? A: Store this book in a cool, dry place to preserve its condition. Avoid exposing it to direct sunlight to prevent fading.
- Q: Can I clean the book if it gets dirty? A: Yes, you can gently wipe the cover with a soft, dry cloth. Avoid using water or cleaning solutions to protect the pages.
- Q: Is this book appropriate for high school students? A: Yes, this book is appropriate for high school students. It is written in an accessible manner for those new to multivariate data analysis.
- Q: What should I do if I receive a damaged book? A: If you receive a damaged book, contact the seller within thirty days for a return or replacement. Ensure to keep all packaging materials for the return.
- Q: What is the author’s background? A: The author is John Spicer, who has expertise in multivariate data analysis. His background supports the book's focus on the behavioral and social sciences.
- Q: Are there references for further reading? A: Yes, each chapter includes references for further reading. These references are accessible for beginners wishing to deepen their understanding.
- Q: Is this book part of a series? A: No, this book is not part of a series. It stands alone as an introduction to multivariate data analysis.
- Q: What is the publication brand of this book? A: The book is published by Sage Publications. It is known for its quality academic publications in various fields.
- Q: Does this book have any advanced statistical content? A: No, this book does not contain advanced statistical content. It focuses on providing a conceptual understanding of multivariate data analysis.