Data analysis using stata
 Responsibility
 Ulrich Kohler, Frauke Kreuter.
 Edition
 2nd ed.
 Imprint
 College Station, Tex. : Stata Press, 2009.
 Physical description
 xxv, 388 p. : ill. ; 24 cm.
Access
Available online
Green Library
Find it
Velma Denning Room (Social Science Data and Software)
Call number  Status 

QA276.4 .K63 2009  Inlibrary use 
Education Library (Cubberley)
Stacks
Call number  Status 

QA276.4 .K63 2009  Unknown 
QA276.4 .K63 2009  Unknown 
Science Library (Li and Ma)
Stacks
Call number  Status 

QA276.4 .K63 2009  Unknown 
More options
Creators/Contributors
 Author/Creator
 Kohler, Ulrich, Dr. phil.
 Contributor
 Kreuter, Frauke.
Contents/Summary
 Bibliography
 Includes bibliographical references (p. [371]375) and indexes.
 Contents

 Preface ABOUT THE BOOK Structure Using This book: Materials and hints Teaching with this manual "THE FIRST TIME" Starting Stata Setting up your screen Your first analysis Dofiles Exiting Stata WORKING WITH DOFILES From interactive work to working with a dofile Designing dofiles Organizing your work Summary THE GRAMMAR OF STATA The elements of Stata commands Repeating similar commands Weights SOME GENERAL COMMENTS ON THE STATISTICAL COMMANDS CREATING AND CHANGING VARIABLES The commands generate and replace Specialized recoding commands Additional tools for recording data Commands for dealing with missing values Labels Storage types, or, the ghost in the machine CREATING AND CHANGING GRAPHS A primer on graph syntax Graph types Graph elements Multiple graphs Saving and printing graphs DESCRIBING AND COMPARING DISTRIBUTIONS Categories: Few or many? Variables with few categories Variables with many categories Summary INTRODUCTION TO LINEAR REGRESSION Simple linear regression Multiple regression Regression diagnostics Model extensions More on standard errors Advanced techniques Summary REGRESSION MODELS FOR CATEGORICAL DEPENDENT VARIABLES The linear probability model Basic concepts Logistic regression with Stata Logistic regression diagnostics Likelihoodratio test Refined models Advanced techniques Summary READING AND WRITING DATA The goal: The data matrix Importing machinereadable data Inputting data Combining data Saving and exporting data Handling big datasets Summary DOFILES FOR ADVANCED USERS AND USERWRITTEN PROGRAMS Two examples of usage Four programming tools Userwritten Stata commands Summary AROUND STATA Resources and information Taking care of Stata Additional procedures References Author Index Subject Index.
 (source: Nielsen Book Data)9781597180467 20160605
 Publisher's Summary
 Using examples from a German longitudinal study, "Data Analysis Using Stata" provides a comprehensive introduction to Stata with an emphasis on data management, linear regression, logistic modeling, and using programs to automate repetitive tasks. The book begins with an introduction to the Stata interface and then proceeds with a discussion of Stata syntax and simple programming tools like foreach loops. The core of the book includes chapters on producing tables and graphs, performing linear regression, and using logistic regression. The remainder of the book includes chapters on reading text files, writing programs and adofiles, and internet resources, such as the search command and the SSC archive.
(source: Nielsen Book Data)9781597180467 20160605
Subjects
Bibliographic information
 Publication date
 2009
 ISBN
 9781597180467 (pbk.)
 1597180467 (pbk.)