Using IBM (R) SPSS (R) Statistics for Research Methods and Social Science Statistics

Preface
Acknowledgments
CHAPTER 1 * Overview
What's the Difference Between SPSS Statistics and PASW Statistics? None.
Statistical Software
About the GSS Data
SPSS/PASW Electronic Files
Opening Existing Data Files
Importing Data From Statistics File Formats Other Than SPSS or PASW
Opening Previously Created Output Files
Saving Files
Creating New SPSS Statistics Data Files
Creating and Editing SPSS Statistics Output Files
Preferences: Getting Started
Measurement of Variables Using SPSS Statistics
References
CHAPTER 2 * Transforming Variables
Recoding and Computing Variables
Recoding Variables: Dichotomies and Dummy Variables
Recoding Using Two or More Variables to Create a New Variable
Computing Variables
Using the Count Function
Computing an Index Using the Mean
Multiple Response
CHAPTER 3 * Selecting and Sampling Cases
Targeted Selection
Random Selection
Selecting Cases for Inclusion in a New Data Set
CHAPTER 4 * Organization and Presentation of Information
Measures of Central Tendency and Variability
Frequency Distributions
CHAPTER 5 * Charts and Graphs
Boxplot
Legacy Options for Graphs (Boxplot Example)
Scatterplot
Legacy Scatterplot
Histogram
Multivariate Histogram
Horizontal Histogram
Bar Graph
Multivariate Bar Graph
Pie Chart
Additional Graphic Capabilities in SPSS Statistics
CHAPTER 6 * Testing Hypotheses Using Means and Cross-Tabulation
Comparing Means
Comparing Means: Paired-Samples t Test
Comparing Means: Independent-Samples t Test
One-Sample t Test
Chi-Square (?2)
Chi-Square (?2) and Cross-Tabulation
CHAPTER 7 * Cross-Tabulation and Measures of Association for Nominal and Ordinal Variables
Bivariate Analysis
Adding Another Variable or Dimension to the Analysis
Measures of Association for Nominal and Ordinal Variables
Lambda (?)
Gamma (?), Kendall's Tau-b, and Somers' d
References
CHAPTER 8 * Correlation and Regression Analysis
Bivariate Regression
Correlation
Multiple Regression
CHAPTER 9 * Logistic Regression Analysis
Preparing Variables for Use in Logistic Regression Analysis
Creating a Set of Dummy Variables to Represent a Multicategory Nominal Variable
Logistic Regression Analysis
Logistic Regression Using a Categorical Covariate Without Dummy Variables
Interpreting Odds Ratios
Step Models
CHAPTER 10 * Analysis of Variance
One-Way ANOVA
ANOVA in Regression
CHAPTER 11 * Editing Output
Editing Basic Tables
Copying to Microsoft Word
Importing and Preparing Text Files for Analysis by SPSS
Editing Charts and Graphs
CHAPTER 12 * Advanced Applications
Merging Data From Multiple Files
Opening Previously Created Syntax Files
Creating New SPSS Syntax Files
About the Author