A Gentle Introduction to Stata  (2nd edition) by Alan C. Acock 2008 Publisher: Stata Press ISBN:978-1-59718-043-6 Pages: 333 pages Price: £32.00 + p&p ORDER NOW

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

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