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The Workflow of Data Analysis Using Stata Paperback – December 10, 2008

ISBN-13: 978-1597180474 ISBN-10: 1597180475 Edition: 1st

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Product Details

  • Paperback: 379 pages
  • Publisher: Stata Press; 1 edition (December 10, 2008)
  • Language: English
  • ISBN-10: 1597180475
  • ISBN-13: 978-1597180474
  • Product Dimensions: 0.9 x 7.4 x 9.4 inches
  • Shipping Weight: 1.8 pounds (View shipping rates and policies)
  • Average Customer Review: 4.8 out of 5 stars  See all reviews (18 customer reviews)
  • Amazon Best Sellers Rank: #136,206 in Books (See Top 100 in Books)

Editorial Reviews

About the Author

Indiana University, Bloomington, USA

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Customer Reviews

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Any applied researcher using this program needs to buy this book.
Amazon Customer
We all have a workflow when doing this, this book wil make you aware of this, and will help you to make your workflow better at documenting and planning your projects.
K. Svendsen
I highly recommend it for anyone dealing with large-scale collaborative data projects.
beth

Most Helpful Customer Reviews

4 of 4 people found the following review helpful By Amazon Customer on May 2, 2011
Format: Paperback Verified Purchase
Simply put, this book will drastically reduce the amount of time it will take you to write a do file. In fact, based on the suggestions that long has in this book I was able to write a do file that will run OLS and all the typical diagnostics automatically. All I have to do is assign the variable macros at the beginning of the do file. My summer project is to do the same thing for my other basic statistical models.

The workflow of data analysis using Stata should be required for any course on regression or applied statistics that uses Stata. Any applied researcher using this program needs to buy this book.
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4 of 4 people found the following review helpful By Public Policist on March 21, 2011
Format: Paperback Verified Purchase
Whether you use Stata or not, if you work with data and do research in the area of empirical social science (Economics, Political Science, Policy Studies) then this book is a must for you. And on top of that if you use Stata for your research, then the question is why you do not have this book yet in your library?

This is probably one of of the few books that I ever bought which taught me something new in each page. It has definitely helped me to learn how to organize my work effectively and efficiently. It has also taught me a lot of Stata programming skills.
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6 of 8 people found the following review helpful By Stelios Orphanos on April 26, 2009
Format: Paperback
The book covers basic material in data management and organizing your work in STATA. Most of the material will prove beneficial to the novice STATA user or to someone who is about to start doing serious statistical analysis with STATA and wants to know a bit about organization and documentation of the work ahead. However, the material is also beneficial to the intermediate and advanced STATA user because it serves as a reminder of the right way of doing things when it comes to data and work organization that could potentially save tons of time in the future when looking for errors and trying to explain why things didnt turn out the way they should. On the down side, there is a lot of stuff in the book that can be found in other books and especially in the STATA Documentation series. Long tries hard to clarify each concept with many examples but in some places the examples go on forever. Also in some parts of the book the same material is covered more than once. Now this can be ok for the novice user but not for the expert. some of the material (for example why files get lost) could have stayed out of the book. I think that the same material could have been covered in 200 pages and not 350. Overall though, the book is a great resource for the novice researcher and can offer useful hints and tips about work organization to the more seasoned researchers.
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2 of 2 people found the following review helpful By beth on October 26, 2011
Format: Paperback Verified Purchase
This book is great. I highly recommend it for anyone dealing with large-scale collaborative data projects.

The author covers everything from saving and filing your data (good life skills even for those who don't use STATA) to documenting and cleaning datasets.

The book reads fast and is interesting enough. Lots of general advice and then a few specific, detailed examples with full-fledged code that are easy to skip if they are not relevant (mercifully, he does not force you through the examples like some books do - they are fairly self-contained modules within the chapters). For each task, he tends to talk about the commands used (with relevant/most-helpful options), but then also about general rules for how to approach the task.

The author's personal narrative dominates the book, but it is clear that he has a lot of experience and for the most part, it is helpful that the book is written that way. Some of the advice is shocking in its simplicity but its usefulness (i.e. "Never name a file 'Final'" lest you wind up with "Final - v1" "Final - v2" and "Final - really really final") - these are problems that are applicable to everyone. As such, although I have a reasonable amount of experience with STATA I felt that this book covered really useful basics in a way that was helpful but not tedious.

Unsurprisingly for someone who writes about organization and workflow management, the book is also well-organized, and designed in such a way that you can read as you go, covering relevant chapters as you face the tasks within. I've been moving along at the pace of my project, highlighting commands as I read so that I can use it as a reference manual once I finish going through the first time. So far, the book has more than paid for itself in time and frustration saved.
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1 of 1 people found the following review helpful By kthdimension on July 13, 2011
Format: Paperback
J. Scott Long's "The Workflow of Data Analysis Using Stata" is well-written, logically organized, and a great resource. I'm an experienced Stata user and have encountered the issues he explicitly outlines but, alas, I always dealt with those items with ad hoc and less-than-ideal solutions. I feel like my approach to organization of my analyses, data cleansing, and outputting of results has evolved to a higher level after reading this book. The section on setting up analysis directories was especially educational, as was the template he provided for the setup and organization of a .do file. Almost all Stata users -- even those with considerable expertise -- are likely to find something useful in this book. Highly recommended to statisticians, data analysts, programmers, and researchers!
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