Using Stata for Quantitative Analysis

Using Stata for Quantitative Analysis
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Using Stata for Quantitative Analysis offers a brief but thorough introduction to analyzing data in undergraduate and graduate level research methods statistics, and data analysis courses using Stata software. Kyle C. Longest teaches the language of Stata from an intuitive perspective, allowing students with no experience in statistical software to start working with data quickly and complete a basic quantitative research project from start to finish.   The Third Edition covers the use of Stata 15 and includes more information on data management and non-linear regression techniques. Enhanced layouts make finding important commands even easier.

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Kyle C. Longest. Using Stata for Quantitative Analysis

Using Stata® for Quantitative Analysis

Using Stata® for Quantitative Analysis

BRIEF CONTENTS

DETAILED CONTENTS

LIST OF A CLOSER LOOK BOXES

Preface. Motivation and Purpose

About the National Study of Youth and Religion

A Note on Versions

A Note on Notation

References

Acknowledgments

About the Author

Part I Foundations for Working With Stata

1 Getting to Know Stata 15

What You See2

Getting Started With Data Files

Opening and Saving Stata Data Files

Data Browser and Editor

A CLOSER LOOK: STATA DATA FILES ACROSS VERSIONS

A CLOSER LOOK: YOUR FIRST COMMAND

Entering Your Own Data

Using Different Types of Data Files in Stata

A CLOSER LOOK: COMBINING DATA

Appending Data

Merging Data

Types of Variables in Data Files

A CLOSER LOOK: VARIABLE TYPES

Exercises

2 The Essentials

Intuition and Stata Commands

A CLOSER LOOK: COMMANDS VERSUS POINT-AND-CLICK

The Structure of Stata Commands

Command

Variables

if Statements

Options

Executing a Command Using the Command Window

The 5 Essential Commands

tabulate

A CLOSER LOOK: COMMAND SHORTCUTS

summary

generate

replace (if)

A CLOSER LOOK: MATHEMATICAL OPERATORS AND THEIR SYMBOLS

A CLOSER LOOK: THE “DREADED” ERROR MESSAGE

A CLOSER LOOK: LOGICAL OPERATORS AND THEIR SYMBOLS

recode

A CLOSER LOOK: MULTIPLE COMMANDS TO THE SAME ENDS

Nonessential, Everyday Commands

rename

drop/keep (if)

describe

display

set more off

Summary of Commands Used in This Chapter

Exercises

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

A CLOSER LOOK: WHEN A MISSING CASE MAY NOT BE MISSING

Using String Variables

Saving Results

Summary of Commands Used in This Chapter

Exercises

Part II Quantitative Analysis With Stata

4 Descriptive Statistics

Frequency Distributions

Histograms and Bar Graphs

A CLOSER LOOK: USING COMMANDS TO CREATE GRAPHS

Measures of Central Tendency and Variability

A CLOSER LOOK: STATISTICS AND THEIR CODES FOR USE WITH TABSTAT, STAT (STATNAME)

Box Plots

A CLOSER LOOK: USING HISTOGRAMS TO EXAMINE CENTRAL TENDENCY AND VARIABILITY

Summary of Commands Used in This Chapter

Exercises

5 Relationships Between Nominal and Ordinal Variables

Cross-Tabulations

A CLOSER LOOK: RECODING FOR DIRECTION

A CLOSER LOOK: RECODING AND VALUE LABELS—A SHORTCUT

Chi-Square Test

Measures of Association

Elaboration

A CLOSER LOOK: USING –BYSORT– AS A UNIVERSAL TOOL

Multivariate Bar Graphs

Summary of Commands Used in This Chapter

Exercises

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)

Testing Proportions

A CLOSER LOOK: TESTS OF MEANS AND PROPORTIONS WITHOUT DATA

Multivariate Means Graphs

Analysis of Variance (ANOVA)

Summary of Commands Used in This Chapter

Exercises

7 Relationships Between Interval-Ratio Variables

Correlation

Scatterplots

Linear Regression

Multiple Linear Regression

A CLOSER LOOK: PREDICTIONS AFTER REGRESSION ANALYSES

Dichotomous (Dummy) Variables and Linear Regression

Beyond Linear Regression

Summary of Commands Used in This Chapter

Exercises

8 Enhancing Your Command Repertoire

Stata Help Files

Ways to Search and Access

Structure and Language

A CLOSER LOOK: HELP FILE CODE WORDS

Advanced Convenience Commands

tab, gen(newvar)

A CLOSER LOOK: USING WILDCARDS

egen

mark and markout

alpha, gen(newvar)

Expanding Stata’s Capabilities

Summary of Commands Used in This Chapter

Exercises

Chapter Exercise Solutions1

Chapter 1

Chapter 2

Chapter 3

Chapter 4

Chapter 5

Chapter 6

Chapter 7

Chapter 8

Alphabetical Command Index and Glossary

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Third Edition

1 Assuredly, there are several very good and effective texts on learning Stata. Virtually all of these, however, are aimed at experienced users or are so detailed and long that they are not helpful for a typical classroom in which teaching Stata is not the primary purpose.

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Click on the Browse button to find the Excel data that you would like to turn into a Stata data set. Once you have selected the Excel file, you can pick a particular worksheet from that file or even a particular set of cells by using the corresponding boxes. Once you have selected a file, you need to make one key determination that is based on how the data are entered in the Excel file. Notice the radio box to denote “Import first row as variable names.” Whether you should select this option will depend on whether your Excel file contains variable names in the first row or whether it contains only data. The two formats are shown in Figures 1.5 and 1.6.

FIGURE 1.5 • FIRST ROW AS VARIABLE NAMES

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