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Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, 3rd Edition,Used
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This classic text on multiple regression is noted for its nonmathematical, applied, and dataanalytic approach. Readers profit from its verbalconceptual exposition and frequent use of examples.The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 .Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Selfstanding chapters minimize the need for researchers to refer to previous chapters.
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- Q: How many pages are in this book? A: This book contains seven hundred thirty-six pages. It offers a comprehensive exploration of multiple regression analysis.
- Q: What is the binding type of this book? A: This book is bound in hardcover. This ensures durability and longevity for frequent use.
- Q: What are the dimensions of this book? A: The book measures seven point twenty-five inches in length, one point seventy-five inches in width, and ten point twenty-five inches in height. These dimensions make it suitable for easy handling.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for readers with an introductory knowledge of statistics. It is designed to help both graduate students and researchers.
- Q: What subjects does this book cover? A: The book covers multiple regression and correlation analysis with applications in psychology, education, health sciences, and more. It provides real-world examples and applications.
- Q: How can I apply the concepts from this book? A: You can apply the concepts by specifying regression models that address your unique research questions. The book includes worked examples for practical understanding.
- Q: How do I care for this hardcover book? A: To care for this book, keep it in a dry place and avoid exposure to direct sunlight. This will help maintain its condition over time.
- Q: Is this book safe for academic use? A: Yes, this book is safe for academic use. It is a well-regarded resource in multiple disciplines, including psychology and sociology.
- Q: Can I return this book if I'm not satisfied? A: Yes, there is a no-quibbles return policy. You can return the book if it does not meet your expectations.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you can initiate a return for a replacement. Ensure to contact customer support for assistance.
- Q: Does this book include online resources? A: Yes, an accompanying website provides data for numerical examples and computer code for SPSS, SAS, and SYSTAT. This enhances the learning experience.
- Q: Who is the author of this book? A: The author of this book is Jacob Cohen. He is a respected figure in the field of statistics and behavioral sciences.
- Q: Is there an emphasis on graphics in this edition? A: Yes, the third edition features an increased emphasis on graphics and confidence intervals. This makes complex concepts easier to understand.
- Q: What type of approach does this book take? A: The book takes a nonmathematical, applied, and data-analytic approach. It focuses on verbal-conceptual exposition with practical examples.
- Q: Is this book relevant for researchers in different fields? A: Yes, it is relevant for researchers in various fields such as education, health sciences, and economics. It serves as a valuable reference tool.