Full Description
Reliable and student-friendly, Using IBM (R) SPSS (R) Statistics for Research Methods and Social Science Statistics by William E. Wagner, III is known for its effectiveness in helping readers learn to use SPSS software for simple data management. Now reflecting SPSS Version 23.0, the Sixth Edition includes updated examples, screenshots, and tables based on current GSS (General Social Survey) data. This manual is an excellent companion to any undergraduate social statistics and research methods text and is ideal as a stand-alone guide for those learning to use SPSS software for the first time.
Contents
CHAPTER 1What'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 StatisticsCHAPTER 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-SquareChi-Square 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 VariablesLambdaGamma, Kendall's Tau-b, and Somers' dCHAPTER 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 Files