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Using Stata for Quantitative Analysis

Author:
Kyle C. Longest
Publisher: Sage
Copyright: 2012
ISBN-13: 978-1-4129-9711-9
Pages: 225; paperback
Price: $29.50

Comment from the Stata technical group

Using Stata for Quantitative Analysis, by Kyle C. Longest, provides an excellent introduction to Stata for users who have never used statistical analysis software before. The book starts at the proverbial square one, describing Stata’s graphical interface, how to import data from Microsoft Excel spreadsheets, and how to use the Data Editor. Subsequent chapters show how to obtain descriptive statistics, create do-files, manage data, produce graphs, and perform basic analyses using linear regression and analysis of variance.

Longest’s book is noteworthy because it carefully blends Stata’s menu system and dialog boxes on one hand and command syntax on the other, giving users a balanced view of how Stata can be used. The book sets aside more advanced details in boxes entitled “A Closer Look” that can be skipped on first reading but provide additional information that users will want to know once they are comfortable with the basics. This book can be used as a supplemental textbook in both undergraduate and graduate social science courses on statistical methods to help students learn how to use Stata. Practitioners needing to learn Stata quickly will also find this book worthwhile.


Table of contents

Preface
Motivation and Purpose
About the National Study of Youth and Religion
A Note on Versions
A Note on Notation
References
Acknowledgments
PART I: FOUNDATIONS FOR WORKING WITH STATA
Chapter 1: Getting to Know Stata 12
What You See
Getting Started With Data Files
Opening and Saving Stata Data Files
Data Browser and Editor
Entering Your Own Data
Using Different Types of Data Files in Stata
Types of Variables in Data Files
Exercises
Chapter 2: The Essentials
Intuition and Stata Commands
The Structure of Stata Commands
Command
Variables
if Statements
Options
Executing a Command Using the Command Window
The 5 Essential Commands
tabulate
summary
generate
replace (if)
recode
Nonessential, Everyday Commands
rename
drop/keep (if)
describe
display
set more off
Summary of Commands Used in This Chapter
Exercises
Chapter 3: Do Files and Data Management
What Is a Do File?
Opening and Saving Do Files
Translation From the Command Window
Getting the Most Out of Do Files
Data Management
Working With Labels
Missing Data
Using String Variables
Saving Results
Summary of Commands Used in This Chapter
Exercises
PART II: QUANTITATIVE ANALYSIS WITH STATA
Chapter 4: Descriptive Statistics
Frequency Distributions
Histograms, Bar Graphs, and Pie Charts
Measures of Central Tendency and Variability
Box Plots
Summary of Commands Used in This Chapter
Exercises
Chapter 5: Relationships Between Nominal and Ordinal Variables
Cross-Tabulations
Chi-Square Test
Measures of Association
Elaboration
Multivariate Bar Graphs
Summary of Commands Used in This Chapter
Exercises
Chapter 6: Relationships Between Different Measurement Levels
Testing Means
Confidence Intervals
Testing a Specific Value (One-Sample t Test)
Testing the Mean of Two Groups (Independent-Samples t Test)
Analysis of Variance (ANOVA)
Summary of Commands Used in This Chapter
Exercises
Chapter 7: Relationships Between Interval-Ratio Variables
Correlation
Scatterplots
Linear Regression
Multiple Linear Regression
Dichotomous (Dummy) Variables and Linear Regression
Summary of Commands Used in This Chapter
Exercises
Chapter 8: Enhancing Your Command Repertoire
Stata Help Files
Ways to Search and Access
Structure and Language
Advanced Convenience Commands
tab, gen(newvar)
egen
mark and markout
alpha, gen(newvar)
Summary of Commands Used in This Chapter
Exercises
Appendix: Getting to Know Stata 11
Chapter Exercise Solutions
“How To” Index
About the Author
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