Title
Hierarchical Linear Models: Applications And Data Analysis Methods (Advanced Quantitative Techniques In The Social Sciences),New
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Popular In The First Edition For Its Rich, Illustrative Examples And Lucid Explanations Of The Theory And Use Of Hierarchical Linear Models (Hlm), The Book Has Been Reorganized Into Four Parts With Four Completely New Chapters. The First Two Parts, Part I On 'The Logic Of Hierarchical Linear Modeling' And Part Ii On 'Basic Applications' Closely Parallel The First Nine Chapters Of The Previous Edition With Significant Expansions And Technical Clarifications, Such As:* An Intuitive Introductory Summary Of The Basic Procedures For Estimation And Inference Used With Hlm Models That Only Requires A Minimal Level Of Mathematical Sophistication In Chapter 3* New Section On Multivariate Growth Models In Chapter 6* A Discussion Of Research Synthesis Or Metaanalysis Applications In Chapter 7* Data Analytic Advice On Centering Of Level1 Predictors And New Material On Plausible Value Intervals And Robust Standard Estimators
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- Q: How many pages does this book have? A: This book has five hundred twelve pages. It offers extensive coverage of hierarchical linear models and their applications.
- Q: What is the binding type of this book? A: This book is hardcover. Hardcover books are durable and often more suitable for long-term use.
- Q: What are the dimensions of this book? A: This book measures six inches in length, one point three five inches in width, and nine point zero two inches in height. These dimensions make it a manageable size for reading.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It includes intuitive summaries and explanations that lay a solid foundation for understanding hierarchical linear models.
- Q: What topics are covered in this book? A: This book covers topics such as the logic of hierarchical linear modeling, multivariate growth models, and research synthesis applications. It is comprehensive for both new learners and experienced researchers.
- Q: What is the reading level of this book? A: The reading level is appropriate for graduate students and professionals in social sciences. It provides advanced quantitative techniques that require some prior knowledge.
- Q: How should I store this book? A: Store this book in a cool, dry place, away from direct sunlight. This will help prevent damage to the cover and pages.
- Q: Can I clean the book's cover? A: Yes, you can clean the book's cover. Use a soft, dry cloth to gently wipe away dust and avoid using liquids that may damage the binding.
- Q: Is this book safe for children? A: No, this book is not specifically designed for children. It contains advanced statistical concepts that are more suited for adults and professionals.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you can return it for a replacement or refund. Always check the return policy provided by the seller.
- Q: How does this book compare to the first edition? A: This book has significant updates compared to the first edition, including new chapters and expanded content on key topics. It offers a more comprehensive understanding of hierarchical linear models.
- Q: What kind of examples does this book provide? A: The book provides rich, illustrative examples that clarify the theory and application of hierarchical linear models. These examples enhance understanding and practical application.
- Q: Who is the author of this book? A: The author of this book is Stephen W. Raudenbush. He is well-respected in the field of quantitative research methods.
- Q: Is there a digital version of this book available? A: Yes, a digital version may be available. Check with the publisher or retailer for eBook options.
- Q: What is the category of this book? A: This book falls under the 'Research' category. It is focused on advanced quantitative techniques used in the social sciences.