Table of Contents


List of tables
List of figures
Preface
Support materials for the book

• 1 Getting started
  1.1 Conventions
  1.2 Introduction
  1.3 The Stata screen
  1.4 Using an existing dataset
  1.5 An example of a short Stata session
  1.6 Summary
  1.7 Exercises
  
  
• 2 Entering data
  2.1 Creating a dataset
  2.2 An example questionnaire
  2.3 Develop a coding system
  2.4 Entering data
  2.4.1 Labeling values
  2.5 Saving your dataset
  2.6 Checking the data
  2.7 Summary
  2.8 Exercises
  
  
• 3 Preparing data for analysis
  3.1 Introduction
  3.2 Plan your work
  3.3 Creating value labels
  3.4 Reverse-code variables
  3.5 Creating and modifying variables
  3.6 Creating scales
  3.7 Save some of your data
  3.8 Summary
  3.9 Exercises
  
  
• 4 Working with commands, do-files, and results
  4.1 Introduction
  4.2 How Stata commands are constructed
  4.3 Getting the command from the menu system
  4.4 Saving your results
  4.5 Logging your command file
  4.6 Summary
  4.7 Exercises
  
  
• 5 Descriptive statistics and graphs for one variable
  5.1 Descriptive statistics and graphs
  5.2 Where is the center of a distribution?
  5.3 How dispersed is the distribution?
  5.4 Statistics and graphs—unordered categories
  5.5 Statistics and graphs—ordered categories and variables
  5.6 Statistics and graphs—quantitative variables
  5.7 Summary
  5.8 Exercises
  
  
• 6 Statistics and graphs for two categorical variables
  6.1 Relationship between categorical variables
  6.2 Cross-tabulation
  6.3 Chi-squared
  6.3.1 Degrees of freedom
  6.3.2 Probability tables
  6.4 Percentages and measures of association
  6.5 Ordered categorical variables
  6.6 Interactive tables
  6.7 Tables—linking categorical and quantitative variables
  6.8 Summary
  6.9 Exercises
  
  
• 7 Tests for one or two means
  7.1 Introduction to tests for one or two means
  7.2 Randomization
  7.3 Random sampling
  7.4 Hypotheses
  7.5 One-sample test of a proportion
  7.6 Two-sample test of a proportion
  7.7 One-sample test of means
  7.8 Two-sample test of group means
  7.8.1 Testing for unequal variances
  7.9 Repeated-measures t test
  7.10 Power analysis
  7.11 Nonparametric alternatives
  7.11.1 Mann–Whitney two-sample rank-sum test
  7.11.2 Nonparametric alternative: median test
  7.12 Summary
  7.13 Exercises
  
  
• 8 Bivariate correlation and regression
  8.1 Introduction to bivariate correlation and regression
  8.2 Scattergrams
  8.3 Plotting the regression line
  8.4 Correlation
  8.5 Regression
  8.6 Spearman’s rho: rank-order correlation for ordinal data
  8.7 Summary
  8.8 Exercises
  
  
• 9 Analysis of variance
  9.1 The logic of one-way analysis of variance
  9.2 ANOVA example
  9.3 ANOVA example using survey data
  9.4 A nonparametric alternative to ANOVA
  9.5 Analysis of covariance
  9.6 Two-way ANOVA
  9.7 Repeated-measures design
  9.8 Intraclass correlation—measuring agreement
  9.9 Summary
  9.10 Exercises
  
  
• 10 Multiple regression
  10.1 Introduction to multiple regression
  10.2 What is multiple regression?
  10.3 The basic multiple regression command
  10.4 Increment in R-squared: semipartial correlations
  10.5 Is the dependent variable normally distributed?
  10.6 Are the residuals normally distributed?
  10.7 Regression diagnostic statistics
  10.7.1 Outliers and influential cases
  10.7.2 Influential observations: DFbeta
  10.7.3 Combinations of variables may cause problems
  10.8 Weighted data
  10.9 Categorical predictors and hierarchical regression
  10.10 Fundamentals of interaction
  10.11 Summary
  10.12 Exercises
  
  
• 11 Logistic regression
  11.1 Introduction
  11.2 An example
  11.3 What is an odds ratio and a logit?
  11.3.1 The odds ratio
  11.3.2 The logit transformation
  11.4 Data used in rest of chapter
  11.5 Logistic regression
  11.6 Hypothesis testing
  11.6.1 Testing individual coefficients
  11.6.2 Testing sets of coefficients
  11.7 Nested logistic regressions
  11.8 Summary
  11.9 Exercises
  
  
• 12 Measurement, reliability, and validity
  12.1 Overview of reliability and validity
  12.2 Constructing a scale
  12.2.1 Generating a mean score for each person
  12.3 Reliability
  12.3.1 Stability and test-retest reliability
  12.3.2 Equivalence
  12.3.3 Split-half and alpha reliability—internal consistency
  12.3.4 Kuder–Richardson reliability for dichotomous items
  12.3.5 Rater agreement—kappa (K)
  12.4 Validity
  12.4.1 Expert judgement
  12.4.2 Criterion-related validity
  12.4.3 Construct validity
  12.5 Factor analysis
  12.6 PCF analysis
  12.6.1 Orthogonal rotation: varimax
  12.6.2 Oblique rotation: promax
  12.7 But we wanted one scale, not four scales
  12.7.1 Scoring our variable
  12.8 Summary
  12.9 Exercises
  
  
• 13 Appendix: What’s next?
  13.1 Introduction to the appendix
  13.2 Resources
  13.2.1 Web resources
  13.2.2 Books on Stata
  13.2.3 Short courses
  13.2.4 Acquiring data
  13.3 Summary
  
  References
  Author index
  Subject index