Making Sense of Multivariate Data Analysis: An Intuitive Approach,New

Making Sense of Multivariate Data Analysis: An Intuitive Approach,New

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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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We provide a 2-year limited warranty, from the date of purchase for all our products.

If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.

This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).

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Frequently Asked Questions

  • Q: What is the main focus of 'Making Sense of Multivariate Data Analysis'? A: The book provides a conceptual overview of multivariate data analysis (MDA) techniques, emphasizing the foundational principles and common analytic strategies used in the behavioral and social sciences.
  • Q: Is prior statistical knowledge required to understand this book? A: No, the book is designed as an introduction and assumes no prior statistical knowledge, making it accessible for beginners.
  • Q: What specific techniques are covered in the book? A: The book covers multiple regression, logistic regression, discriminant analysis, multivariate analysis of variance, factor analysis, and log-linear analysis.
  • Q: How is the book structured for readers? A: Each chapter includes references for further reading, facilitating deeper exploration of topics, while maintaining a focus on conceptual understanding.
  • Q: What type of readers would benefit from this book? A: Students and practitioners in the behavioral and social sciences looking for a foundational understanding of multivariate data analysis techniques will find this book beneficial.
  • Q: What is the condition of the book being sold? A: The book is listed as a new item, ensuring that it is in pristine condition.
  • Q: How many pages does the book have? A: The book contains 256 pages, providing a concise yet comprehensive overview of multivariate data analysis.
  • Q: What is the binding type of this book? A: The book is available in paperback binding, making it lightweight and easy to handle.
  • Q: When was this book published? A: The book was published on August 19, 2004.
  • Q: Who is the author of 'Making Sense of Multivariate Data Analysis'? A: The book is authored by John Spicer.