Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics

William E. Wagner, III,  PhD, is Chair of the Department of Sociology at California State University, Dominguez Hills and Executive Director of the Social Science Research & Instructional Council of the CSU. He is co-author of Adventures in Social Research, 11th edition (SAGE, 2022), The Practice of Survey Research (SAGE, 2016), and A Guide to R for Social and Behavioral Sciences (SAGE, 2020) and author of Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics, 7th edition (SAGE, 2019).

• PrefaceAcknowledgmentsCHAPTER 1 • OverviewWhat’s the Difference Between SPSS Statistics and PASW Statistics? None.Statistical SoftwareAbout the GSS DataSPSS/PASW Electronic FilesOpening Existing Data FilesImporting Data From Statistics File Formats Other Than SPSS or PASWOpening Previously Created Output FilesSaving FilesCreating New SPSS Statistics Data FilesCreating and Editing SPSS Statistics Output FilesPreferences: Getting StartedMeasurement of Variables Using SPSS StatisticsReferencesCHAPTER 2 • Transforming VariablesRecoding and Computing VariablesRecoding Variables: Dichotomies and Dummy VariablesRecoding Using Two or More Variables to Create a New VariableComputing VariablesUsing the Count FunctionComputing an Index Using the MeanMultiple ResponseCHAPTER 3 • Selecting and Sampling CasesTargeted SelectionRandom SelectionSelecting Cases for Inclusion in a New Data SetCHAPTER 4 • Organization and Presentation of InformationMeasures of Central Tendency and VariabilityFrequency DistributionsCHAPTER 5 • Charts and GraphsBoxplotLegacy Options for Graphs (Boxplot Example)ScatterplotLegacy ScatterplotHistogramMultivariate HistogramHorizontal HistogramBar GraphMultivariate Bar GraphPie ChartAdditional Graphic Capabilities in SPSS StatisticsCHAPTER 6 • Testing Hypotheses Using Means and Cross-TabulationComparing MeansComparing Means: Paired-Samples t TestComparing Means: Independent-Samples t TestOne-Sample t TestChi-Square (?2)Chi-Square (?2) and Cross-TabulationCHAPTER 7 • Cross-Tabulation and Measures of Association for Nominal and Ordinal VariablesBivariate AnalysisAdding Another Variable or Dimension to the AnalysisMeasures of Association for Nominal and Ordinal VariablesLambda (?)Gamma (?), Kendall’s Tau-b, and Somers’ dReferencesCHAPTER 8 • Correlation and Regression AnalysisBivariate RegressionCorrelationMultiple RegressionCHAPTER 9 • Logistic Regression AnalysisPreparing Variables for Use in Logistic Regression AnalysisCreating a Set of Dummy Variables to Represent a Multicategory Nominal VariableLogistic Regression AnalysisLogistic Regression Using a Categorical Covariate Without Dummy VariablesInterpreting Odds RatiosStep ModelsCHAPTER 10 • Analysis of VarianceOne-Way ANOVAANOVA in RegressionCHAPTER 11 • Editing OutputEditing Basic TablesCopying to Microsoft WordImporting and Preparing Text Files for Analysis by SPSSEditing Charts and GraphsCHAPTER 12 • Advanced ApplicationsMerging Data From Multiple FilesOpening Previously Created Syntax FilesCreating New SPSS Syntax FilesAbout the Author