PrefaceAcknowledgmentsChapter 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 ReferencesChapter 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 ResponseChapter 3 * Selecting and Sampling Cases Targeted Selection Random Selection Selecting Cases for Inclusion in a New Data SetChapter 4 * Organization and Presentation of Information Measures of Central Tendency and Variability Frequency DistributionsChapter 5 * Charts and Graphs Boxplot Direct Options for Graphs (Boxplot Example without Chartbuilder) Scatterplot Direct Graphing Option for Scatterplot Histogram Multivariate Histogram Horizontal Histogram Direct Graphing Option for Histogram BAR GRAPH Multivariate Bar Graph Direct Graphing Option for Histogram PIE CHART Direct Graphing Option for Histogram Additional Graphic Capabilities in SPSS StatisticsChapter 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-TabulationChapter 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 ReferencesChapter 8 * Correlation and Regression Analysis Bivariate Regression Correlation Multiple RegressionChapter 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 ModelsChapter 10 * Analysis of Variance One-Way ANOVA ANOVA in Regression Two-Way ANOVAChapter 11 * Editing Output Editing Basic Tables Copying to Microsoft Word Importing and Preparing Text Files for Analysis by SPSS Editing Charts and GraphsChapter 12 * Advanced Applications Merging Data From Multiple Files Opening Previously Created Syntax Files Creating New SPSS Syntax FilesAbout the AuthorReferences.