Ulrich Kohler, Frauke Kreuter (University of Maryland, College Park, Maryland, USA

Data Analysis Using Stata, Third Edition

• Broschiertes Buch

Produktbeschreibung

A comprehensive introduction to both statistical methods and Stata, this text helps beginners learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. It also offers tips and tricks for readers already familiar with Stata. Step by step, the book leads readers through the entire process of data analysis, covering the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition also explores advanced topics such as standard errors in complex survey and multiple imputation.

Produktdetails

• Verlag: Stata Press
• 3 ed
• Seitenzahl: 497
• Erscheinungstermin: 20. August 2012
• Englisch
• Abmessung: 249mm x 187mm x 33mm
• Gewicht: 1030g
• ISBN-13: 9781597181105
• ISBN-10: 1597181102
• Artikelnr.: 36280451

Autorenporträt

Ulrich Kohler is a sociologist at the Social Science Research Center Berlin (WZB). Dr. Kohler is an organizer of the German Stata Users Group meetings. Frauke Kreuter is an associate professor in the Joint Program in Survey Methodology (JPSM) at the University of Maryland-College Park, professor in the Statistics Department at the Ludwig-Maximilians-University of Munich, and head of the Statistical Methods group at the Institute for Employment Research (IAB) in Nuremberg, Germany. Both authors are associate editors of the Stata Journal. They coauthored a German textbook, Datenanalyse mit Stata, which was the predecessor of this book. They used Data Analysis Using Stata to teach several classes and short courses at the University of Mannheim, the University of Konstanz, the Free University of Berlin, and the University of California-Los Angeles.

Inhaltsangabe

The First Time. Working with Do-Files. The Grammar of Stata. General
Comments on the Statistical Commands. Creating and Changing Variables.
Creating and Changing Graphs. Describing and Comparing Distributions.
Statistical Inference. Introduction to Linear Regression. Regression Models
for Categorical Dependent Variables. Reading and Writing Data. Do-Files for
Advanced Users and User-Written Programs. Around Stata. References.
Indices.