Using SPSS for Windows and Macintosh: Analyzing and Understanding Data
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Will help anyone use SPSS to successfully analyze data, interpret results, and describe findings.This complete introductory guide to SPSS has been thoroughly updated for the software's latest versions for Windows and Macintosh. It has also been revised throughout for greater accessibility, simplicity, and ease of use. The book provides step-by-step walkthroughs of every basic SPSS and statistical technique, along with tips, examples, exercises, and extensive pedagogical support designed to promote rapid learning. Coverage includes: mastering the SPSS interface; creating and working with data files; defining and creating variables; working with data, charts, and output; univariate descriptive statistics; univariate and multivariate analyses; correlation, regression, and discriminate analysis; scaling and nonparametric procedures; and more.For everyone who wants to master the latest versions of SPSS. SPSS is used in a wide range of markets, including psychology and other areas of scientific research; marketing and surveys; financial services and insurance; education; government; telecommunications; and beyond.
PrefacePart I Introducing SPSS Unit 1 Getting Started with SPSS Lesson 1 Starting SPSSLesson 2 The SPSS Main Menus and ToolbarLesson 3 Using SPSS HelpLesson 4 A Brief SPSS TourUnit 2 Creating and Working with Data Files Lesson 5 Defining VariablesLesson 6 Entering and Editing DataLesson 7 Inserting and Deleting Cases and VariablesLesson 8 Selecting, Copying, Cutting, and Pasting DataLesson 9 Printing and Exiting an SPSS Data FileLesson 10 Exporting and Importing SPSS DataLesson 11 Validating SPSS DataUnit 3 Working with Data Lesson 12 Finding Values, Variables, and CasesLesson 13 Recoding Data and Computing ValuesLesson 14 Sorting, Transposing, and Ranking DataLesson 15 Splitting and Merging FilesUnit 4A Working with SPSS Charts and Output for Windows Lesson 16A Creating an SPSS ChartLesson 17A Enhancing SPSS ChartsLesson 18A Using the Viewer and Pivot TablesUnit 4B Working with SPSS Charts and Output for Macintosh Lesson 16B Creating an SPSS ChartLesson 17B Enhancing SPSS ChartsLesson 18B Using the Viewer and Pivot TablesPart II Working with SPSS Procedures Unit 5 Creating Variables and Computing Descriptive Statistics Lesson 19 Creating VariablesLesson 20 Univariate Descriptive Statistics for Qualitative VariablesLesson 21 Univariate Descriptive Statistics for Quantitative VariablesUnit 6 t Test Procedures Lesson 22 One-Sample t TestLesson 23 Paired-Samples t TestLesson 24 Independent-Samples t TestUnit 7 Univariate and MultivariateAnalysis-of-Variance TechniquesLesson 25 One-Way Analysis of VarianceLesson 26 Two-Way Analysis of VarianceLesson 27 One-Way Analysis of CovarianceLesson 28 One-Way Multivariate Analysis of VarianceLesson 29 One-Way Repeated-Measures Analysis of VarianceLesson 30 Two-Way Repeated-Measures Analysis of VarianceUnit 8 Correlation, Regression, and Discriminant Analysis Procedures Lesson 31 Pearson Product-Moment Correlation CoefficientLesson 32 Partial CorrelationsLesson 33 Bivariate Linear RegressionLesson 34 Multiple Linear RegressionLesson 35 Discriminant AnalysisUnit 9 Scaling Procedures Lesson 36 Factor AnalysisLesson 37 Internal Consistency Estimates of ReliabilityLesson 38 Item Analysis Using the Reliability ProcedureUnit 10 Nonparametric Procedures Lesson 39 Binomial TestLesson 40 One-Sample Chi-Square TestLesson 41 Two-Way Contingency Table Analysis Using CrosstabsLesson 42 Two Independent-Samples Test: The Mann-Whitney U TestLesson 43 K Independent-Samples Tests: The Kruskal-Wallis and the Median TestsLesson 44 Two Related-Samples Tests: The McNemar, the Sign, and the Wilcoxon TestsLesson 45 K Related-Samples Tests: The Friedman and the Cochran TestsAppendix A Data for Crab Scale and Teacher ScaleAppendix B Methods for Controlling Type I Error across Multiple Hypothesis TestsAppendix C Selected Answers to Lesson ExercisesReferencesIndex
