For those who have a basic understanding of statistics and want to learn SPSS on their own, this concise, practical guide can be used in conjunction with another text or as a self-instructional resource. With the assistance of ample screenshots, bullet points, and callouts, readers master SPSS by inputting and analyzing their own data, rather than simply opening existing databases. The Second Edition introduces advanced concepts such as Logistic Regression, Principal Components Factor Analysis, and more complex graphing methods. This edition is compatible with IBM SPSS versions through 23.

Table of Contents:
Preface Acknowledgments About the Authors Chapter 1. First Encounters 1.1 Introduction and Objectives 1.2 Entering, Analyzing, and Graphing Data 1.3 Summary 1.4 Review Exercises Chapter 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 Chapter 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 Importing Files From Other Applications 3.9 Exporting SPSS Files to Other Applications 3.10 Summary 3.11 Review Exercises Chapter 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 Chapter 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 Databases 5.5 Summary 5.6 Review Exercises Chapter 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 Inserting New Variables and Cases Into Existing Databases 6.7 Data View Page: Copy, Cut, and Paste Procedures 6.8 Summary 6.9 Review Exercises Chapter 7. Using the SPSS Help Menu 7.1 Introduction and Objectives 7.2 Help Options 7.3 Using Help Topics 7.4 Using the Help Tutorial 7.5 Using Help Case Studies 7.6 Getting Help When Using Analyze on the Main Menu 7.7 Summary 7.8 Review Exercises Chapter 8. Creating Graphs for Nominal and/or Ordinal Data 8.1 Introduction and Objectives 8.2 A Brief Introduction to the Chart Builder 8.3 Using the Chart Builder to Build a Simple 3-D Graph 8.4 Building a Population Pyramid 8.5 Summary 8.6 Review Exercises Chapter 9. Graphs for Continuous Data 9.1 Introduction and Objectives 9.2 Creating a Histogram 9.3 Creating a Boxplot 9.4 Creating a Panel Graph 9.5 Summary 9.6 Review Exercises Chapter 10. Printing Data View, Variable View, and Output Viewer Screens 10.1 Introduction and Objectives 10.2 Printing Data From the Variable View Screen 10.3 Printing Variable Information From the Output Viewer 10.4 Printing Tables From the Output Viewer 10.5 Summary 10.6 Review Exercises Chapter 11. Basic Descriptive Statistics 11.1 Introduction and Objectives 11.2 Measures of Central Tendency 11.3 Measures of Dispersion 11.4 The Big Question: Are the Data Normally Distributed? 11.5 Descriptive Statistics for the Class Survey 11.6 Summary 11.7 Review Exercises Chapter 12. One-Sample t Test and a Binomial Test of Equality 12.1 Introduction and Objectives 12.2 Research Scenario and Test Selection 12.3 Research Question and Null Hypothesis 12.4 Data Input, Analysis, and Interpretation of Output 12.5 Nonparametric Test: The Binomial Test of Equality 12.6 Summary 12.7 Review Exercises Chapter 13. Independent-Samples t Test and Mann-Whitney U Test 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 Nonparametric Test: Mann-Whitney U Test 13.6 Summary 13.7 Review Exercises Chapter 14. Paired-Samples t Test and Wilcoxon 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: Wilcoxon Signed-Ranks Test 14.6 Summary 14.7 Review Exercises Chapter 15. One-Way ANOVA and Kruskal-Wallis 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: Kruskal-Wallis Test 15.6 Summary 15.7 Review Exercises Chapter 16. Two-Way (Factorial) ANOVA 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 Summary 16.6 Review Exercises Chapter 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 Chapter 18. Analysis of Covariance 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 Chapter 19. Pearson’s Correlation and Spearman’s Correlation 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 Nonparametric Test: Spearman’s Correlation Coefficient 19.6 Summary 19.7 Review Exercises Chapter 20. Single Linear Regression 20.1 Introduction and Objectives 20.2 Research Scenario and Test Selection 20.3 Research Question and Null Hypothesis 20.4 Data Input 20.5 Data Assumptions (Normality) 20.6 Regression and Prediction 20.7 Interpretation of Output (Data Assumptions) 20.8 Interpretation of Output (Regression and Prediction) 20.9 Research Question Answered 20.10 Summary 20.11 Review Exercises Chapter 21. Multiple Linear Regression 21.1 Introduction and Objectives 21.2 Research Scenario and Test Selection 21.3 Research Question and Null Hypothesis 21.4 Data Input 21.5 Data Assumptions (Normality) 21.6 Regression and Prediction 21.7 Interpretation of Output (Data Assumptions) 21.8 Interpretation of Output (Regression and Prediction) 21.9 Research Question Answered 21.10 Summary 21.11 Review Exercises Chapter 22. Logistic Regression 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 Summary 22.6 Review Exercises Chapter 23. Factor Analysis 23.1 Introduction and Objectives 23.2 Research Scenario and Test Selection 23.3 Research Question and Null Hypothesis 23.4 Data Input, Analysis, and Interpretation of Output 23.5 Summary 23.6 Review Exercises Chapter 24. Chi-Square Goodness of Fit 24.1 Introduction and Objectives 24.2 Research Scenario and Test Selection: Legacy Dialogs 24.3 Research Question and Null Hypothesis: Legacy Dialogs 24.4 Data Input, Analysis, and Interpretation of Output: Legacy Dialogs 24.5 Research Scenario and Test Selection: One Sample 24.6 Research Question and Null Hypothesis: One Sample 24.7 Data Input, Analysis, and Interpretation of Output: One Sample 24.8 Summary 24.9 Review Exercises Chapter 25. Chi-Square Test of Independence 25.1 Introduction and Objectives 25.2 Research Scenario and Test Selection: Summarized Data 25.3 Research Question and Null Hypothesis: Summarized Data 25.4 Data Input, Analysis, and Interpretation of Output: Summarized Data 25.5 Research Scenario and Test Selection: Raw Data 25.6 Research Question and Null Hypothesis: Raw Data 25.7 Data Input, Analysis, and Interpretation of Output: Raw Data 25.8 Summary 25.9 Review Exercises Appendix A. Class Survey Database (Entered in Chapter 5) Table A.1 Variables and Attributes for class_survey1.sav Table A.2 Data for class_survey1.sav Appendix B. Basic Inferential Statistics B.1 Introduction B.2 Populations and Samples B.3 Sampling Procedures B.4 Hypothesis Testing B.5 Parametric Statistical Tests B.6 Nonparametric Statistical Tests B.7 Data Transformation B.8 Type I and Type II Errors B.9 Tests of Significance B.10 Practical Significance Versus Statistical Significance B.11 One- and Two-Tailed Tests B.12 Degrees of Freedom Appendix C. Answers to Review Exercises Index