9781597181426-1597181420-A Gentle Introduction to Stata, Fourth Edition

A Gentle Introduction to Stata, Fourth Edition

ISBN-13: 9781597181426
ISBN-10: 1597181420
Edition: 4
Author: Alan C. Acock
Publication date: 2014
Publisher: Stata Press
Format: Paperback 500 pages
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Book details

ISBN-13: 9781597181426
ISBN-10: 1597181420
Edition: 4
Author: Alan C. Acock
Publication date: 2014
Publisher: Stata Press
Format: Paperback 500 pages

Summary

A Gentle Introduction to Stata, Fourth Edition (ISBN-13: 9781597181426 and ISBN-10: 1597181420), written by authors Alan C. Acock, was published by Stata Press in 2014. With an overall rating of 3.9 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent A Gentle Introduction to Stata, Fourth Edition (Paperback) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.4.

Description

A Gentle Introduction to Stata, Fourth Edition is for people who need to learn Stata but who may not have a strong background in statistics or prior experience with statistical software packages. After working through this book, you will be able to enter, build, and manage a dataset, and perform fundamental statistical analyses. This book is organized like the unfolding of a research project. You begin by learning how to enter and manage data and how to do basic descriptive statistics and graphical analysis. Then you learn how to perform standard statistical procedures from t tests, nonparametric tests, and measures of association through ANOVA, multiple regression, and logistic regression. Readers who have experience with another statistical package may benefit more by reading chapters selectively and referring to this book as needed.

The fourth edition has incorporated numerous changes that were new with Stata 13. Coverage of the marginsplot command has expanded. This simplifies the construction of compelling graphs. There is a new chapter showing how to estimate path models using the sem (structural equation modeling) command. Menus have been updated, and several minor changes and corrections have been included based on suggestions from readers.

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