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A supplemental text for undergraduate and graduate level courses involving research methods and statistical analysis. Kyle Longest teaches the language of Stata from an intuitive perspective, enabling those with no experience in statistical software to work with data in a very short amount of time.

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• Preface(p. ix)
• Motivation and Purpose(p. ix)
• About the National Study of Youth and Religion(p. x)
• A Note on Versions(p. xi)
• A Note on Notation(p. xi)
• References(p. xii)
• Acknowledgments(p. xiii)
• Part I Foundations for Working with Stata(p. 1)
• Chapter 1 Getting to Know Stata 12(p. 2)
• What You See(p. 2)
• Getting Started With Data Files(p. 5)
• Opening and Saving Stata Data Files(p. 5)
• Data Browser and Editor(p. 7)
• Entering Your Own Data(p. 10)
• Using Different Types of Data Files in Stata(p. 10)
• Types of Variables in Data Files(p. 13)
• Exercises(p. 16)
• Chapter 2 The Essentials(p. 17)
• Intuition and Stata Commands(p. 17)
• The Structure of Stata Commands(p. 19)
• Command(p. 20)
• Variables(p. 20)
• if Statements(p. 20)
• Options(p. 21)
• Executing a Command Using the Command Window(p. 21)
• The 5 Essential Commands(p. 21)
• tabulate(p. 22)
• summary(p. 28)
• generate(p. 29)
• replace (if)(p. 35)
• recode(p. 43)
• Nonessential, Everyday Commands(p. 48)
• rename(p. 48)
• drop/keep (if)(p. 48)
• describe(p. 50)
• display(p. 51)
• set more off(p. 52)
• Summary of Commands Used in This Chapter(p. 52)
• Exercises(p. 54)
• Chapter 3 Do Files and Data Management(p. 55)
• What Is a Do File?(p. 56)
• Opening and Saving Do Files(p. 57)
• Translation From the Command Window(p. 58)
• Getting the Most Out of Do Files(p. 66)
• Data Management(p. 69)
• Working With Labels(p. 69)
• Missing Data(p. 74)
• Using String Variables(p. 80)
• Saving Results(p. 83)
• Summary of Commands Used in This Chapter(p. 86)
• Exercises(p. 87)
• Part II Quantitative Analysis with Stata(p. 89)
• Chapter 4 Descriptive Statistics(p. 90)
• Frequency Distributions(p. 91)
• Histograms, Bar Graphs, and Pie Charts(p. 97)
• Measures of Central Tendency and Variability(p. 102)
• Box Plots(p. 107)
• Summary of Commands Used in This Chapter(p. 110)
• Exercises(p. 111)
• Chapter 5 Relationships Between Nominal and Ordinal Variables(p. 113)
• Cross-Tabulations(p. 113)
• Chi-Square Test(p. 122)
• Measures of Association(p. 124)
• Elaboration(p. 126)
• Multivariate Bar Graphs(p. 130)
• Summary of Commands Used in This Chapter(p. 134)
• Exercises(p. 135)
• Chapter 6 Relationships Between Different Measurement Levels(p. 137)
• Testing Means(p. 138)
• Confidence Intervals(p. 139)
• Testing a Specific Value (One-Sample t Test)(p. 140)
• Testing the Mean of Two Groups (Independent-Samples t Test)(p. 141)
• Analysis of Variance (ANOVA)(p. 144)
• Summary of Commands Used in This Chapter(p. 146)
• Exercises(p. 147)
• Chapter 7 Relationships Between Interval-Ratio Variables(p. 148)
• Correlation(p. 148)
• Scatterplots(p. 150)
• Linear Regression(p. 156)
• Multiple Linear Regression(p. 160)
• Dichotomous (Dummy) Variables and Linear Regression(p. 162)
• Summary of Commands Used in This Chapter(p. 165)
• Exercises(p. 166)
• Chapter 8 Enhancing Your Command Repertoire(p. 167)
• Stata Help Files(p. 167)
• Ways to Search and Access(p. 168)
• Structure and Language(p. 171)
• Advanced Convenience Commands(p. 175)
• tab, gen(newvar)(p. 175)
• egen(p. 178)
• mark and markout(p. 181)
• alpha, gen(newvar)(p. 183)
• Summary of Commands Used in This Chapter(p. 185)
• Exercises(p. 185)
• Appendix: Getting to Know Stata 11(p. 187)
• Chapter Exercise Solutions(p. 201)
• "How To" Index(p. 221)
• About the Author(p. 225)