A Gentle Introduction to Stata, 4th Edition Front Cover

A Gentle Introduction to Stata, 4th Edition

  • Length: 500 pages
  • Edition: 4
  • Publisher:
  • Publication Date: 2014-04-18
  • ISBN-10: 1597181420
  • ISBN-13: 9781597181426
  • Sales Rank: #308474 (See Top 100 Books)
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.

Table of Contents

Chapter 1 Getting started
Chapter 2 Entering data
Chapter 3 Preparing data for analysis
Chapter 4 Working with commands, do-files, and results
Chapter 5 Descriptive statistics and graphs for one variable
Chapter 6 Statistics and graphs for two categorical variables
Chapter 7 Tests for one or two means
Chapter 8 Bivariate correlation and regression
Chapter 9 Analysis of variance
Chapter 10 Multiple regression
Chapter 11 Logistic regression
Chapter 12 Measurement, reliability, and validity
Chapter 13 Working with missing values—multiple imputation
Chapter 14 The sem and gsem commands

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