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Event History Modeling: A Guide for Social Scientists (Analytical Methods for Social Research)

3.6 out of 5 stars 5 customer reviews
ISBN-13: 978-0521546737
ISBN-10: 0521546737
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Frequently Bought Together

  • Event History Modeling: A Guide for Social Scientists (Analytical Methods for Social Research)
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Product Details

  • Series: Analytical Methods for Social Research
  • Paperback: 234 pages
  • Publisher: Cambridge University Press (March 29, 2004)
  • Language: English
  • ISBN-10: 0521546737
  • ISBN-13: 978-0521546737
  • Product Dimensions: 6 x 0.6 x 9 inches
  • Shipping Weight: 14.6 ounces (View shipping rates and policies)
  • Average Customer Review: 3.6 out of 5 stars  See all reviews (5 customer reviews)
  • Amazon Best Sellers Rank: #391,630 in Books (See Top 100 in Books)

Customer Reviews

Top Customer Reviews

By F. Boehmke on August 14, 2007
Format: Paperback
This is excerpted and slightly modified from a published review (Perspectives on Politics Volume 3, June 2005) I wrote of this book, which I like quite a bit and regularly recommend and assign to my political science graduate students.

Event History Modeling: A Guide for Social Scientists provides a broad and in-depth introduction to duration analysis for political scientists and for social scientists in general. This book will instantly become the go-to guide for most political scientists interested in event history analysis and should become a staple on syllabi for graduate courses for years to come. The authors cover a broad range of important topics, employing a combination of mathematical detail and verbal discussion; important concepts are illustrated with examples using political science data that readers can download. For a book on statistical methods, Event History Modeling is quite readable and the authors do a commendable job of presenting a great variety of issues and making clear recommendations.
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Format: Paperback
This book is great. The mathematical expressions are very well explained, so I understood them easily. I like be the organization of the book because it is easy to understand. The hard work and knowledge of the authors is obvious and really helps with learning and understanding.
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By Julia A. on December 27, 2014
Format: Kindle Edition Verified Purchase
Straightforward, detailed, but not so much as to be burdensome.
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Format: Kindle Edition
I totally agree with Loch's comments on this book. I had to read this book for a political science phd class (as I am a poli sci phd student in a highly quantitative program). We were assigned this book for self-learning without any lectures. It turns out this book omits NUMEROUS mathematical inferences and it is very difficult for a self learner to follow how each equation was obtained. The descriptions of some methods are vague and many things were written in an illusive way such as comparing models, tests, etc. In addition, the organization is not clear enough. They have sub-topics within each chapter but these sub-topics are not listed in the contents page so if you want to find a certain topic concerning an issue it is very difficult to locate them or use this book as an instrument book. If you're a self-learner, this book will definitely NOT suffice. If you're preparing a lecture based on this book, your students will have a diastrous time. In sum you cannot read this book alone; you'd better check out survival analysis books published in the medical literature. Those real "scientists" do a better job explaining the bigger picture, the train of thoughts, and concrete techniques behind these models.
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Format: Paperback
This book can be thought of as reflecting prejudice that those non-math or non-stat people can benefit only from the books without mathematical gimmichks. Without basic mathematical expressions and statistical explanations, this book seems to fail in providing proper knowledge on the methods. Try Lawless and Lee's books, which employ some mathematics and statistics. Even though we are not math or statistics majors, we can select and pick up what we need for application.
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