eBook: Download Introduction Meta Analysis Michael Borenstein ePub (KINDLE, PDF, MOBI) + Audio Version

  • File Size: 13766 KB
  • Print Length: 452 pages
  • Publisher: Wiley; 1 edition (August 24, 2011)
  • Publication Date: August 24, 2011
  • Language: English

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My background is MBBS and master in epidemiology. At work I am required to produce a meta-analysis. This book is by much the best one on meta-analysis I've come across. For example for the topic of "random effect model", We search the net and find out about 10 difference resources. Spent 10 hours, still didn't understand it. A couple of weeks later, I still had to find an answer to "What is random effect model". So happens this book supplies a free chapter exactly on evaluating fixed and random result models. That chapter was quite simple to understand, plus it went into satisfactory depth for me, plus it gave very nice working examples. This really is fantastic. This book is good because it explains difficult concepts using simple language, repeats difficult points multiple times using different ways to explain. He shows you theoretical formulae, then he offers you actual examples with numbers to plug into the formulae. Very well written. I only wish he covered ANOVA and Multiple regression in a dedicated chapter, explain them from ground up, in simple terms, go into depth, and show examples. In the book he indicates ANOVA & Regression are past the scope of the book. Please do make it part of the book, set a whole separate part please., I purchased this book when starting a project for my architectural management master's. I was to learn how to do a meta-analysis and perform a small one. This book started off at a point where I had no clue what was going on. I went back to read " Research synthesis and meta-analysis" by Harris Cooper. After getting the basics there, I totally understood this book. If you know nothing about this subject, this book might not be your better starting point.

Also, this book was written by the people who make the software program " Comprehensive meta-analysis", which is a really great program. They feature student costs as well.

Once you get the program, the book makes even more sense., It's a great book. All the theoretical principles on meta research are explained in a clearly and completely way. There are also chapters dedicated to more advanced topics., It is a textbook We needed for a graduate student seminar. It's one of the standard texts giving the theoretical underpinning as well as practical assistance in performing meta-analysis.

I was very pleased to find it on Amazon at a great price. Also, it was delivered very promptly., Summary of Meta-Analysis is straight forward and easy to read. There are lots of examples to demonstrate main ideas and content is repeated within the right way so that one nascent to meta-analysis can actually figure it out there., Though I only have a background in applied record methodology, I found this book easy to follow and, more importantly, understand. For that reason, I would strongly recommend it to anyone engaging in self-directed study. Additionally, while working through the examples, I was easily able to use both Excel as well as R for almost every computation., This is a very good book for everyone starting to get into doing meta-analyses. Regardless of whether you're in social savoir, or medical/ life savoir, this book is a great source. The only downside was that at that time I ordered it, Amazon did not have any in stock, so it took more than 5 weeks to be provided..., This book was designated in the Meta-Analysis school I took also it was really helpful. I think this is a must have for anyone conducting a traguardo.

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Introduction Meta Analysis Michael Borenstein
Average Rating: 4.77
Votes: 12
Reviews: 1