Multilevel Modeling(1st Edition)
Authors:
George David Garson
Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New
In Stock: 2 Left
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Book details
ISBN: 1544319290, 9781544319292
Book publisher: SAGE Publications, Inc
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Customer Reviews
Trusted feedback from verified buyers
MM
Multilevel Modeling is a well-crafted guide for statisticians and data analysts. The detailed explanations of the concepts behind the techniques were particularly helpful. While I enjoyed the book greatly, I felt some sections could use a few more real-world examples. Used my member benefits to snag a discount which was much appreciated! Overall, a well-rounded text that I’d recommend.
HR
If you are serious about mastering multilevel modeling, this book should be on your bookshelf. It delves deeply into the theory and backs it up with practical examples. My purchase arrived in perfect condition thanks to careful packaging, and within a day of ordering! The insights I gained from this book have already improved my work, and I'm looking forward to applying these techniques.
MA
The book serves as a good introduction, but it lacks in-depth examples for complex scenarios. Suitable for beginners, but more seasoned users might find it basic.
TP
This book provides a solid balance between theoretical explanations and practical applications. While the examples are quite enlightening, I wish a few more complex datasets had been explored in-depth. However, it still serves as a valuable reference. Arrived quickly and with no damage, which is always a plus. Overall, it's a strong addition to my collection.
CH
Multilevel Modeling, 1st Edition is simply outstanding. As someone new to multilevel modeling, this book made complex concepts much more accessible. The examples are clear and relevant, which really helped cement the ideas. I used my membership to get a nice discount, which was a pleasant surprise. Plus, the book arrived well-packaged and ahead of schedule. Highly recommended for anyone starting out in this field!





































