Data Analysis Using Stata, Third Edition

Frauke Kreuter, Ulrich Kohler

ISBN 10: 1597181102 / ISBN 13: 9781597181105

Published by Stata Press, US, 2012

About this Item

Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand.Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.

Seller Inventory # LU-9781597181105

Bibliographic Details

• Title: Data Analysis Using Stata, Third Edition
• Publisher: Stata Press, US
• Publication Date: 2012
• Language: English
• ISBN 10: 1597181102
• ISBN 13: 9781597181105
• Binding: Paperback
• Edition: 3rd Edition
• Condition: New
• Weight: 1043 grams

About this title

Synopsis

Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.

The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand.

Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.

About the Author

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.