The Workflow of Data Analysis Using Stata, by J. Scott Long, is an essential productivity tool for data analysts. Long presents lessons gained from his experience and demonstrates how to design and implement efficient workflows for both one-person projects and team projects. After introducing workflows and explaining how a better workflow can make it easier to work with data, Long describes planning, organizing, and documenting your work. He then introduces how to write and debug Stata do-files and how to use local and global macros. After a discussion of conventions that greatly simplify data analysis the author covers cleaning, analyzing, and protecting data.
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Indiana University, Bloomington, USA
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4 of 4 people found the following review helpful:
4.0 out of 5 stars
Great for novices, ok for intermediate, advanced researchers,
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This review is from: The Workflow of Data Analysis Using Stata (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.
3 of 3 people found the following review helpful:
5.0 out of 5 stars
The Must Have for Empirical Social Scientist,
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This review is from: The Workflow of Data Analysis Using Stata (Paperback)
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.
2 of 2 people found the following review helpful:
5.0 out of 5 stars
Absolutely fantastic!,
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This review is from: The Workflow of Data Analysis Using Stata (Paperback)
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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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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respondent number, logit lfp, lwg inc, cleaning your data, foreach varname, macro rhs, dual workflow, age prst, colnames stats, extended macro function, miss nolabel, local varlist, label define commands, matrix stats, extended missing values, desc statistics, use mydata, write myfile, select prestige, automating your work, signature reset, local rhs, job phd, list stats stats, articles prestige Key Phrases - Capitalized Phrases (CAPs): (learn more)
Percent Cum, Min Max, Directory Content, Obs Mean Std, National Longitudinal Survey, Definitely Unwilling, Definitely Willing, Disciples of Christ, Probably Unwilling, Total Male, Probably Willing, Country Number, User's Guide, Add Health, Datasets Datasets, National Longitudinal Study of Adolescent Health, General Social Survey, Protecting Your Files, Academic Biochemists, Workflow Data, Variable Label, Data Signature, Protecting Files Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
respondent number, logit lfp, lwg inc, cleaning your data, foreach varname, macro rhs, dual workflow, age prst, colnames stats, extended macro function, miss nolabel, local varlist, label define commands, matrix stats, extended missing values, desc statistics, use mydata, write myfile, select prestige, automating your work, signature reset, local rhs, job phd, list stats stats, articles prestige Key Phrases - Capitalized Phrases (CAPs): (learn more)
Percent Cum, Min Max, Directory Content, Obs Mean Std, National Longitudinal Survey, Definitely Unwilling, Definitely Willing, Disciples of Christ, Probably Unwilling, Total Male, Probably Willing, Country Number, User's Guide, Add Health, Datasets Datasets, National Longitudinal Study of Adolescent Health, General Social Survey, Protecting Your Files, Academic Biochemists, Workflow Data, Variable Label, Data Signature, Protecting Files Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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