Table Of Contents:

• Preface
• Acknowledgments
• About the Author
• SECTION I. SPSS COMMANDS AND ASSIGNMENT OF LEVELS OF MEASUREMENT
• 1. First Encounters
• 1.1 Introduction and Objectives
• 1.2 Entering, Analyzing, and Graphing Data
• 1.3 Summary
• 1.4 Review Exercises
• 2. Navigating in SPSS
• 2.1 Introduction and Objectives
• 2.2 SPSS Variable View Screen
• 2.3 SPSS Data View Screen
• 2.4 SPSS Main Menu
• 2.5 Data Editor Toolbar
• 2.6 Variable View Screen: A Closer Look
• 2.7 Summary
• 2.8 Review Exercises
• 3. Getting Data In and Out of SPSS
• 3.1 Introduction and Objectives
• 3.2 Typing Data Using the Computer Keyboard
• 3.3 Saving Your SPSS Data Files
• 3.4 Saving Your SPSS Output Files
• 3.5 Opening Your Saved SPSS Files
• 3.6 Opening SPSS Sample Files
• 3.7 Copying and Pasting Data to Other Applications
• 3.8 Exporting SPSS Files to Other Applications
• 3.9 Importing Files From Other Applications
• 3.10 Summary
• 3.11 Review Exercises
• 4. Levels of Measurement
• 4.1 Introduction and Objectives
• 4.2 Variable View Screen: Measure Column
• 4.3 Variables Measured at the Nominal Level
• 4.4 Variables Measured at the Ordinal Level
• 4.5 Variables Measured at the Scale Level
• 4.6 Using SPSS to Suggest Variable Measurement Levels
• 4.7 Summary
• 4.8 Review Exercises
• 5. Entering Variables and Data and Validating Data
• 5.1 Introduction and Objectives
• 5.2 Entering Variables and Assigning Attributes (Properties)
• 5.3 Entering Data for Each Variable
• 5.4 Validating Data for Datasets
• 5.5 Summary
• 5.6 Review Exercises
• 6. Working With Data and Variables
• 6.1 Introduction and Objectives
• 6.2 Computing a New Variable
• 6.3 Recoding Scale Data Into a String Variable
• 6.4 Data Transformation
• 6.5 Split Cases for Independent Analysis
• 6.6 Obtaining a Simple Random Sample (SRS)
• 6.7 Inserting New Variables and Cases Into Existing Datasets
• 6.8 Data View Page: Copy, Cut, and Paste Procedures
• 6.9 Summary
• 6.10 Review Exercises
• 7. Printing Data View, Variable View, and Output Viewer Screens
• 7.1 Introduction and Objectives
• 7.2 Printing Data From the Variable View Screen
• 7.3 Printing Variable Information From the Output Viewer
• 7.4 Printing Tables From the Output Viewer
• 7.5 Summary
• 7.6 Review Exercises
• 8. Using the SPSS Help Menu
• 8.1 Introduction and Objectives
• 8.2 Help Options
• 8.3 Using SPSS Tutorials
• 8.4 Using SPSS Case Studies
• 8.5 Using Context Sensitive
• 8.6 Summary
• 8.7 Review Exercises
• SECTION II. DESCRIPTIVE STATISTICS AND GRAPHING
• 9. Descriptive Statistics
• 9.1 Introduction and Objectives
• 9.2 Measures of Central Tendency
• 9.3 Measures of Dispersion
• 9.4 The Big Question: Are the Data Normally Distributed?
• 9.5 Descriptive Statistics for the Class Survey
• 9.6 Summary
• 9.7 Review Exercises
• 10. Creating Graphs for Nominal and/or Ordinal Data
• 10.1 Introduction and Objectives
• 10.2 A Brief Introduction to the Chart Builder
• 10.3 Using the Chart Builder to Build a Simple 3-D Pie Graph
• 10.4 Building a Population Pyramid
• 10.5 Building the Stacked Bar Graph (percentage of stack’s total)
• 10.6 Summary
• 10.7 Review Exercises
• 11. Creating Graphs for Continuous Data
• 11.1 Introduction and Objectives
• 11.2 Creating a Histogram
• 11.3 Creating a Boxplot
• 11.4 Creating a Paneled Graph
• 11.5 Summary
• 11.6 Review Exercises
• SECTION III. BASIC INFERENTIAL STATISTICS
• 12. Inferential Statistics
• 12.1 Introduction and Objectives
• 12.2 Populations
• 12.3 Sampling
• 12.4 Normal Curve
• 12.5 Standard Error
• 12.6 Confidence Intervals
• 12.7 Hypothesis Testing
• 12.8 Statistical Significance
• 12.9 Type I (Alpha) and Type II (Beta) Errors
• 12.10 Research Steps in Hypothesis Testing
• 12.11 Parametric Versus Nonparametric Tests
• 12.12 Practical Versus Statistical Significance
• 12.13 Summary
• 12.14 Review Exercises
• 13. One-Sample t Test and a Binomial Test of Equality
• 13.1 Introduction and Objectives
• 13.2 Research Scenario and Test Selection
• 13.3 Research Question and Null Hypothesis
• 13.4 Data Input, Analysis, and Interpretation of Output
• 13.5 Confidence Intervals
• 13.6 Nonparametric Test: The Binomial Test of Equality
• 13.7 Summary
• 13.8 Review Exercises
• 14. Independent-Samples t Test and the Mann–Whitney U Test
• 14.1 Introduction and Objectives
• 14.2 Research Scenario and Test Selection
• 14.3 Research Question and Null Hypothesis
• 14.4 Data Input, Analysis, and Interpretation of Output
• 14.5 Nonparametric Test: Mann–Whitney U Test
• 14.6 Summary
• 14.7 Review Exercises
• 15. Paired-Samples t Test and the Wilcoxon Test
• 15.1 Introduction and Objectives
• 15.2 Research Scenario and Test Selection
• 15.3 Research Question and Null Hypothesis
• 15.4 Data Input, Analysis, and Interpretation of Output
• 15.5 Nonparametric Test: Wilcoxon Signed-Ranks Test
• 15.6 Summary
• 15.7 Review Exercises
• 16. One-Way ANOVA and Kruskal–Wallis Test
• 16.1 Introduction and Objectives
• 16.2 Research Scenario and Test Selection
• 16.3 Research Question and Null Hypothesis
• 16.4 Data Input, Analysis, and Interpretation of Output
• 16.5 Nonparametric Test: Kruskal–Wallis Test
• 16.6 Summary
• 16.7 Review Exercises
• 17. One-Way ANOVA Repeated Measures Test and Friedman Test
• 17.1 Introduction and Objectives
• 17.2 Research Scenario and Test Selection
• 17.3 Research Question and Null Hypothesis
• 17.4 Data Input, Analysis, and Interpretation of Output
• 17.5 Nonparametric Test: Friedman Test
• 17.6 Summary
• 17.7 Review Exercises
• 18. Two-Way ANOVA (Factorial)
• 18.1 Introduction and Objectives
• 18.2 Research Scenario and Test Selection
• 18.3 Research Question and Null Hypothesis
• 18.4 Data Input, Analysis, and Interpretation of Output
• 18.5 Summary
• 18.6 Review Exercises
• 19. Analysis of Covariance (ANCOVA)
• 19.1 Introduction and Objectives
• 19.2 Research Scenario and Test Selection
• 19.3 Research Question and Null Hypothesis
• 19.4 Data Input, Analysis, and Interpretation of Output
• 19.5 Summary
• 19.6 Review Exercises
• 20. Chi-Square Goodness of Fit
• 20.1 Introduction and Objectives
• 20.2 Research Scenario and Test Selection: Legacy Dialogs
• 20.3 Research Question and Null Hypothesis: Legacy Dialogs
• 20.4 Data Input, Analysis, and Interpretation of Output: Legacy Dialogs
• 20.5 Research Scenario and Test Selection: One Sample
• 20.6 Research Question and Null Hypothesis: One Sample
• 20.7 Data Input, Analysis, and Interpretation of Output: One Sample
• 20.8 Summary
• 20.9 Review Exercises
• 21. Chi-Square Test of Independence
• 21.1 Introduction and Objectives
• 21.2 Research Scenario and Test Selection: Summarized Data
• 21.3 Research Question and Null Hypothesis: Summarized Data
• 21.4 Data Input, Analysis, and Interpretation of Output: Summarized Data
• 21.5 Research Scenario and Test Selection: Raw Data
• 21.6 Research Question and Null Hypothesis: Raw Data
• 21.7 Data Input, Analysis, and Interpretation of Output: Raw Data
• 21.8 Summary
• 21.9 Review Exercises
• SECTION IV. RELATIONAL STATISTICS – PREDICTION, DESCRIBING, AND EXPLORING MULTIVARIABLE RELATIONSHIPS
• 22. Pearson’s and Spearman’s Correlation Coefficients
• 22.1 Introduction and Objectives
• 22.2 Research Scenario and Test Selection
• 22.3 Research Question and Null Hypothesis
• 22.4 Data Input, Analysis, and Interpretation of Output
• 22.5 Nonparametric Test: Spearman’s Correlation Coefficient
• 22.6 Summary
• 22.7 Review Exercises
• 23. Simple Linear Regression
• 23.1 Introduction and Objectives
• 23.2 Research Scenario and Test Selection
• 23.3 Research Question and Null Hypothesis
• 23.4 Data Input
• 23.5 Data Assumptions (Normality)
• 23.6 Data Assumptions (Linear Relationship)
• 23.7 Regression and Prediction
• 23.8 Interpretation of Output (Data Assumptions)
• 23.9 Interpretation of Output (Regression and Prediction)
• 23.10 Research Question Answered
• 23.11 Summary
• 23.12 Review Exercises
• 24. Multiple Linear Regression
• 24.1 Introduction and Objectives
• 24.2 Research Scenario and Test Selection
• 24.3 Research Question and Null Hypothesis
• 24.4 Data Input
• 24.5 Data Assumptions (Normality)
• 24.6 Regression and Prediction
• 24.7 Interpretation of Output (Data Assumptions)
• 24.8 Interpretation of Output (Regression and Prediction)
• 24.9 Research Question Answered
• 24.10 Summary
• 24.11 Review Exercises
• 25. Logistic Regression
• 25.1 Introduction and Objectives
• 25.2 Research Scenario and Test Selection
• 25.3 Research Question and Null Hypothesis
• 25.4 Data Input, Analysis, and Interpretation of Output
• 25.5 Summary
• 25.6 Review Exercises
• 26. Factor Analysis
• 26.1 Introduction and Objectives
• 26.2 Research Scenario and Test Selection
• 26.3 Research Question and Null Hypothesis
• 26.4 Data Input, Analysis, and Interpretation of Output
• 26.5 Summary
• 26.6 Review Exercises
• Appendix A. Class Survey Dataset (Entered in Chapter 5)
• Appendix B. Normal Curve Interpretation
• Appendix C. Answers to Review Exercises 1, 2, and 3
• Appendix D. Datasets Listed by Chapter
• Index