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