Title
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences,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 CD with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT. 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 does this book have? A: This book has five hundred seventy-two pages. It provides comprehensive coverage of multiple regression and correlation analysis.
- Q: What is the binding type of this book? A: The binding type is hardcover. This durable format is ideal for frequent use in academic and research settings.
- Q: Who is the author of this book? A: The author is Jacob Cohen. He is well known for his contributions to statistics and behavioral sciences.
- Q: Is this book suitable for beginners? A: An introductory knowledge of statistics is required. However, the book's applied emphasis makes it accessible for readers with basic statistical understanding.
- Q: Can this book be used as a reference tool? A: Yes, it serves as both a textbook and a reference tool. Researchers across various fields can benefit from its comprehensive content.
- Q: What topics does this book cover? A: The book covers multiple regression, correlation analysis, and other fundamental statistical concepts. It includes worked examples and applications relevant to various disciplines.
- Q: How can I use this book for research? A: You can specify regression models that directly address your research questions. The book provides clear illustrations and examples to guide you.
- Q: Is there an accompanying CD with this book? A: Yes, there is a CD included. It contains data for most numerical examples and computer code for SPSS, SAS, and SYSTAT.
- Q: What is the focus of the third edition of this book? A: The third edition features increased emphasis on graphics and the use of confidence intervals and effect size measures. It enhances understanding of statistical concepts.
- Q: How do I keep this book in good condition? A: Store the book in a cool, dry place away from direct sunlight. Avoid bending or creasing the pages to maintain its condition.
- Q: Is this book good for academic study? A: Yes, it is excellent for academic study. It is widely used in graduate courses and by researchers in various fields.
- Q: Can I find examples relevant to psychology in this book? A: Yes, the book includes examples relevant to psychology and other behavioral sciences. It illustrates applications of regression analysis in real-world scenarios.
- Q: Is there a focus on data analysis in this book? A: Yes, the book emphasizes a data-analytic approach. It helps readers understand how to analyze data effectively using regression techniques.
- Q: What is the target audience for this book? A: The target audience includes graduate students and researchers in psychology, education, health sciences, and several other fields.
- Q: Are the chapters self-standing? A: Yes, the chapters are designed to be self-standing. This minimizes the need to refer to previous chapters for understanding.