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Hierarchical Linear Models: Applications and Data Analysis Methods (Advanced Quantitative Techniques in the Social Sciences), by Stephen W
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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 meta-analysis applications in Chapter 7
* Data analytic advice on centering of level-1 predictors and new material on plausible value intervals and robust standard estimators
- Sales Rank: #131583 in Books
- Brand: Raudenbush, Stephen W./ Bryk, Anthony S.
- Published on: 2001-12-19
- Format: HiFi Sound
- Original language: English
- Number of items: 1
- Dimensions: 9.30" h x 1.30" w x 6.16" l, 1.78 pounds
- Binding: Hardcover
- 512 pages
Review
"The text is authoritative, well laid out, and extremely readable. For the target audience, this book is highly recommended."
(Short Book Reviews- Publication of the International Statistical Institute)"This book is very well written and the applied part is well balanced with technical details. I think that it will be useful not only for social and behavioral researchers but also for applied statisticians, practitioners and students analyzing data with hierarchical-type structures"
(Zentralblat)"The book is clearly written, well organized, and addresses an important topic. I would recommend this book to the readers of Personnel Psychology. If you want to learn more about these techniques, the new advances, the controversial points, potential links between HLM and meta-analysis, structural equations modeling, item response theory, and so forth , this book is a feast." (Robert G. Jones Personnel Psychology Book Review Section)
"This book makes good use of examples to introduce readers to HLM and the issues surrounding their application. In fact, I think the book does a wonderful job by using lots of examples with lots of details. This is definitely one of its strengths as it makes it much easier for the reader to follow the text and understand the capabilities of the HLM approach. This Second Edition should come highly recommended. I think it gives a very good and thorough overview of HLM, and it does so in a manner that is easy to follow." (Organizational Research Methods)
Most helpful customer reviews
11 of 11 people found the following review helpful.
Near-bibilical status
By not a natural
The second edition of this texbook by Raudenbush and Bryk has achieved near-biblical status in the world of multi-level modeling. It is quite comprehensive, and the chapter on centering, an unexpectedly important and complex topic, is the best I"ve seen.
Nevertheless, Raudenbush and Bryk make what I take to be a serious error when they fail to acknowledge the strengths and weaknesses and breadth and limitations of their likely audience. For all but the best trained mathematical statisticians, this book is inaccessible and, for the reader, money poorly spent. Raudenbush and Bryk must know that most sociologists, political scientists, program evaluators, policy analysts, and numerous others will find their book too difficult to use as a self-teaching tool. Thus, in fairness to those trying to keep up with important methodological developments, the authors should, at the very least, conspicuously acknowledge the demands their book places on the reader.
For most readers, there are much better ways to a make a start on multilevel modeling. If one wants to, he or she can then work toward meeting the demands imposed by Raudenbush and Bryk.
5 of 5 people found the following review helpful.
Excellent reference, but not for beginners
By Amazon Customer
Raudenbush & Bryk's text is a must-have reference for those who use hierarchical models in professional research, but not the best introduction for beginners. As others have said, it is extremely dense at times, but I don't necessarily see that as a drawback as long as readers are aware of what they need to know in advance. For those with a solid foundation in general linear modeling (i.e. all the various forms of regression, MANCOVA, etc.), as well as some basic knowledge of what hierarchical models can do, this is the right book for you. If not, choose something more basic and work your way up. That said, HLM is not as daunting as it may seem at first, and those who do research in multiple settings simultaneously now have little excuse for "cutting corners" by simply throwing in covariates or assuming homogeneity, no matter how many variables look the same.
By far, the greatest improvement since the first edition is the extended discussion of HLM in longitudinal designs. Raudenbush & Bryk are at the cutting-edge here, and anyone who does growth-curve analysis will find this book to be a great resource. On the downside, their discussion of the unique factors to take into account in 3-level models is a bit sparse (and the only reason for 4 stars instead of 5).
I return to this book constantly, and strongly recommend it to those who do (or, more often, should) take a wider, more accurate accounting of the many possible sources of variance in their research.
13 of 14 people found the following review helpful.
If you want to learn HLM, this book will not help you.
By Ivan Alfaro
The book is not bad. But need so much improvement. I send a letter to the authors with my comments.
For example:
A basic topic such as "assumptions" is not clear presented. You have to "discover" them on your reading.
You will find things like "as we can see this will create a problem" ok. but what kind of problem, why are these a problem?
I got the book, and for each chapter I read, I had to go online to look for additional information, and clarifications.
It is clear that the authors are experts and the topic, and things are "so clear and obvious" for them, but the people that is reading the book might have problem following it.
Conclusion. After 2 weeks I decided to return the NEW book and get a USED one.
I also got the "manual" for the HLM6 software, dont bother. It is not a good manual. Actually, it is not a manual because it does not teach you how to use the software, it does not explain its different options, it just show you some examples. You can find similar things online. I returned the manual as well.
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