Title
Multilevel Analysis: Techniques and Applications, Second Edition (Quantitative Methodology Series),Used
Delivery time: 8-12 business days (International)
This practical introduction helps readers apply multilevel techniques to their research. Noted as an accessible introduction, the book also includes advanced extensions, making it useful as both an introduction and as a reference to students, researchers, and methodologists. Basic models and examples are discussed in nontechnical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines. For example, readers will find data sets on stress in hospitals, GPA scores, survey responses, street safety, epilepsy, divorce, and sociometric scores, to name a few. The data sets are available on the website in SPSS, HLM, MLwiN, LISREL and/or Mplus files. Readers are introduced to both the multilevel regression model and multilevel structural models.Highlights of the second edition include: Two new chaptersone on multilevel models for ordinal and count data (Ch. 7) and another on multilevel survival analysis (Ch. 8). Thoroughly updated chapters on multilevel structural equation modeling that reflect the enormous technical progress of the last few years. The addition of some simpler examples to help the novice, whilst the more complex examples that combine more than one problem have been retained. A new section on multivariate metaanalysis (Ch. 11). Expanded discussions of covariance structures across time and analyzing longitudinal data where no trend is expected. Expanded chapter on the logistic model for dichotomous data and proportions with new estimation methods. An updated website at http://www.joophox.net/ with data sets for all the text examples and uptodate screen shots and PowerPoint slides for instructors.Ideal for introductory courses on multilevel modeling and/or ones that introduce this topic in some detail taught in a variety of disciplines including: psychology, education, sociology, the health sciences, and business. The advanced extensions also make this a favorite resource for researchers and methodologists in these disciplines. A basic understanding of ANOVA and multiple regression is assumed. The section on multilevel structural equation models assumes a basic understanding of SEM.
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Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
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 focus of 'Multilevel Analysis: Techniques and Applications'? A: The book focuses on applying multilevel techniques to research, providing both an introduction for students and a reference for researchers and methodologists.
- Q: What are the key updates in the second edition of this book? A: The second edition includes new chapters on multilevel models for ordinal and count data and multilevel survival analysis, along with updated examples and discussions on covariance structures and longitudinal data.
- Q: What disciplines can benefit from this book? A: This book is suitable for disciplines such as psychology, education, sociology, health sciences, and business, making it ideal for both introductory courses and advanced research.
- Q: Does the book include practical examples? A: Yes, it includes realistic examples from various fields and provides access to related data sets available on the author's website.
- Q: What is the expected background knowledge for readers? A: A basic understanding of ANOVA and multiple regression is assumed, and familiarity with structural equation models is recommended for certain sections.
- Q: How many pages does the book have? A: The book has a total of 392 pages.
- Q: What is the binding type of this book? A: The book is available in a paperback binding.
- Q: Is the book suitable for beginners in multilevel modeling? A: Yes, the book serves as an accessible introduction and includes simpler examples to aid novice learners.
- Q: Can I find supplementary materials for teaching? A: Yes, the updated website provides screen shots and PowerPoint slides for instructors, along with data sets for all text examples.
- Q: What condition is the book in when purchased? A: The book is listed as being in good condition, with guarantees on packaging and a return policy.