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Multilevel Modeling in Plain Language

Free Download Multilevel Modeling in Plain Language

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Review

I started to read the book with vivid interest because of the subject that too often does not find enough space in books which provide an overview of the most used statistical methods leaving out those who are somewhat a little bit more elaborate. After a while I found that I had read many pages, as a story, in a short time, and, rethinking to the title of the book, I remembered there was a part saying "…. In plain language". This is really genuine. The Authors do really introduce the subject in a very friendly way, propose examples which facilitate the reader to better understand and explain the output of Stata.  I suggest the book both to students and instructors who want a specific text on this subject. On the one hand, students will be not afraid of formula, considering that the book is centred on the understanding of the subjects, on the other hand, instructors will benefit in reviewing the path of the multilevel analysis very quickly. It is a book for those who have some knowledge of statistic but I think that this aspect is definitely clear to the reader. The book is really complete in all the phases of a multilevel analysis, the "plain approach" helps the reader to grasp the idea, follow the Stata commands and outputs and, finally, to interpret the findings. I think that the Authors were very skillful in preparing this book and added a very useful resource, in particular, for those who use Stata for their analysis. Author: Dr. Gabriele Messina

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About the Author

Karen Robson is Assistant Professor in the Department and Marketing and Hospitality at Central Michigan University. She holds a BSc (Honsd) in Psychology from Queen’s University, and an MA in Psychology, an MBA and PhD from Simon Fraser University. Karen’s research investigates consumer innovativeness, including how consumers repurpose or use market offerings in ways not intended by the manufacturer and the intellectual property law implications of this practice. A recipient of the Joseph-Armand Bombardier Doctoral Scholarship, her work has appeared in journals such as MIS Quarterly Executive, Business Horizons, Journal of Marketing Education, Journal of Advertising Research, and Journal of Public Affairs.

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Product details

Paperback: 160 pages

Publisher: SAGE Publications Ltd; 1 edition (December 9, 2015)

Language: English

ISBN-10: 0857029169

ISBN-13: 978-0857029164

Product Dimensions:

6.7 x 0.4 x 9.5 inches

Shipping Weight: 12.6 ounces (View shipping rates and policies)

Average Customer Review:

4.5 out of 5 stars

13 customer reviews

Amazon Best Sellers Rank:

#144,954 in Books (See Top 100 in Books)

This is one of the clearest and most useful advanced statistics books I have read in over 50 years of interest. Recommend for all non-experts (and perhaps even some experts) in this these methods and also recommend you run the examples in programs Stata (especially) or R as you read (using other programs like SAS or SPSS is doable and helped by links recommended in the book).I am 90+% through the book in 10 days and feel like I understand and can begin to apply almost all of the content. Am now ready and eager to tackle more advanced texts like "Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Third Edition", by Sophia Rabe-Hesketh and Anders Skrondal .Starting as an engineer with only a rough acquaintance with multilevel regression and no practical modeling experience; thanks to the book, I now see many ways to apply multilevel regression either to greatly improve or to justify single-level models I had developed and audited.

I was neck deep in my dissertation with my deadline looming and was facing so many issues with analysis I was seriously on the verge of a mental breakdown. ... and then this amazing book arrived in the mail. To say it was a life saver is not an exaggeration. it's so clearly written but still goes far enough into multilevel modeling that it more that adequately explained many of the high level analytical challenges I was facing. if I ever meet these authors... beers on me! thank you so much, I'm forever grateful!

The book is exactly as the title conveys. It takes you step by step through all the stages of multilevel modeling without overwhelming you with equations. Every Stata command and every component of multilevel equations are described and explained in detail. If you sat in a multilevel course and felt that it was too much for you despite your decent statistics background, buy this book to change your mind. Multilevel modeling isnt too hard, you just need to study it in the way the authors present it in this book. Cant recommend this enough for beginners. The authors are also responsive to emails.

The book does just what it advertises - it uses plain language to explain the basics of multilevel models. The biggest feature of the book is not so much the subject, but the way they explain the basics so that other, maybe more advanced texts and guides, are accessible to non-experts. This isn't the end-all be-all of multilevel modeling, but is a great primer for anyone who is trying to learn.

A must read for doctoral students who, at any time in their research, might encounter data that are "nested" (e.g. students in classrooms, individuals in groups, or employees in companies). The authors' writing is easy to follow and clearly written. The examples in the book provide readers with an easy to follow application of the concepts discussed by the authors. This book is not meant to be a technical exposition on the subject, but an easy to read and apply guide for those who are interested in using multilevel modeling in their research.

I bought the Kindle version which I found difficult to read and follow. I should have bought the hard copy. Overall, the text is fairly accessible.

An excellent reference especially for Stata users.

This is a pretty good book. It is well written, and the examples are in Stata. For someone who is a user of statistics but without a desire to do a lot of matrix algebra, this book is perfect.

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