The Workflow of Data Analysis Using Stata (Record no. 1503)

000 -LEADER
fixed length control field 03117nam a2200265Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field DE-boiza
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20191029091511.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191008
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-1-597-18047-4
040 ## - CATALOGING SOURCE
Transcribing agency IZA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Long, J. Scott
9 (RLIN) 4005
245 #4 - TITLE STATEMENT
Title The Workflow of Data Analysis Using Stata
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2009
Name of publisher, distributor, etc. Stata Press,
Place of publication, distribution, etc. College Station, Tex.,
300 ## - PHYSICAL DESCRIPTION
Extent 379 pages
340 ## - PHYSICAL MEDIUM
Location within medium C8 153
520 ## - SUMMARY, ETC.
Summary, etc. The Workflow of Data Analysis Using Stata, by J. Scott Long, is an essential productivity tool for data analysts. Aimed at anyone who analyzes data, this book presents an effective strategy for designing and doing data-analytic projects.<br/><br/>In this book, Long presents lessons gained from his experience with numerous academic publications, as a coauthor of the immensely popular Regression Models for Categorical Dependent Variables Using Stata, and as a coauthor of the SPOST routines, which are downloaded over 20,000 times a year.<br/><br/>A workflow of data analysis is a process for managing all aspects of data analysis. Planning, documenting, and organizing your work; cleaning the data; creating, renaming, and verifying variables; performing and presenting statistical analyses; producing replicable results; and archiving what you have done are all integral parts of your workflow.<br/><br/>Long shows how to design and implement efficient workflows for both one-person projects and team projects. Long guides you toward streamlining your workflow, because a good workflow is essential for replicating your work, and replication is essential for good science.<br/><br/>An efficient workflow reduces the time you spend doing data management and lets you produce datasets that are easier to analyze. When you methodically clean your data and carefully choose names and effective labels for your variables, the time you spend doing statistical and graphical analyses will be more productive and more enjoyable.<br/><br/>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. Long presents conventions that greatly simplify data analysis—conventions for naming, labeling, documenting, and verifying variables. He also covers cleaning, analyzing, and protecting your data.<br/><br/>While describing effective workflows, Long also introduces the concepts of basic data management using Stata and writing Stata do-files. Using real-world examples, Stata commands, and Stata scripts, Long illustrates effective techniques for managing your data and analyses. If you analyze data, this book is recommended for you.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element data analysis
9 (RLIN) 1118
Topical term or geographic name entry element Stata
9 (RLIN) 958
Topical term or geographic name entry element statistical analysis
9 (RLIN) 959
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term statistical software
655 ## - INDEX TERM--GENRE/FORM
Genre/form data or focus term texbook
9 (RLIN) 5310
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="Support materials for 'The Workflow of Data Analysis Using Stata'">Support materials for 'The Workflow of Data Analysis Using Stata'</a>
Link text https://www.stata-press.com/data/wdaus.html
Uniform Resource Identifier <a href="https://www.stata.com/bookstore/workflow-data-analysis-stata/">https://www.stata.com/bookstore/workflow-data-analysis-stata/</a>
Link text Publisher's website
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Monography
Source of classification or shelving scheme
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Full call number Barcode Date last seen Price effective from Koha item type Source of classification or shelving scheme
        Library Library 2019-10-08 C8 153 133449 2019-10-08 2019-10-08 Monography  
        Library Library 2019-10-29 C8 153 <+1> 00134972 2019-10-29 2019-10-29 Monography  
Deutsche Post Stiftung
 
Istitute of Labor Economics
 
Institute for Environment & Sustainability
 

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