Using IBM SPSS Statistics, 2nd Edition

An Interactive Hands-On Approach

This second edition was written while using IBM® SPSS® Statistics Version 22. The first edition was written while using Versions 18 and 20. Although Version 22 is the most recent version available, it is certainly compatible with the earlier releases.

As in the first edition, this book can be used in conjunction with an instructor or as a self-instructional guide. It retains the well-received bul­leted points, which inform the reader in exacting terms what has to be done to accomplish certain statistical operations while using the SPSS program. We have improved the self-instructional aspect of the book by adding more SPSS screenshots. The screenshots are complemented with a generous supply of callouts that are used to direct the reader’s attention to specific control points.

One of the motivating factors in writing this book was to provide readers with the knowledge to effectively use the power of the SPSS program to analyze data of their choosing. It is the ability to analyze one’s own data, see them come to life, that makes data analysis an exciting adventure into the unknown. We felt that many (or most) of the SPSS instructional text­books utilize existing databases and provide minimal, if any, guidance on how to structure and enter data. In this second edition, we continue with the philosophy that it is wise to know how to enter data into the SPSS program. On leaving the academy and finding work in the real world, the ability to analyze data using SPSS can prove extremely useful in advancing one’s career. In this edition, we continue to provide the reader with many opportunities for actually entering data, not just opening existing databases. We encourage readers to enter their own personal data as this makes the discovery process that much more exciting. There are few things in research that are more rewarding than making that final click on the mouse and watching your mass of numbers come to life with new meaning and pur­pose. Whether it’s a graph, a prediction equation, or perhaps a statistical test showing a significant difference between groups, the discovery of the unknown that was hidden within the data can be extremely gratifying. The rewards of data analysis can give, and often have given, new meaning to the lives of researchers and to entire societies that benefit from discovery.


About the Authors
Chapter 1. First Encounters
Chapter 2. Navigating in SPSS
Chapter 3. Getting Data In and Out of SPSS
Chapter 4. Levels of Measurement
Chapter 5. Entering Variables and Data and Validating Data
Chapter 6. Working With Data and Variables
Chapter 7. Using the SPSS Help Menu
Chapter 8. Creating Graphs for Nominal and/or Ordinal Data
Chapter 9. Graphs for Continuous Data
Chapter 10. Printing Data View, Variable View, and Output Viewer Screens
Chapter 11. Basic Descriptive Statistics
Chapter 12. One-Sample t Test and a Binomial Test of Equality
Chapter 13. Independent-Samples t Test and Mann-Whitney U Test
Chapter 14. Paired-Samples t Test and Wilcoxon Test
Chapter 15. One-Way ANOVA and Kruskal-Wallis Test
Chapter 16. Two-Way (Factorial) ANOVA
Chapter 17. One-Way ANOVA Repeated Measures Test and Friedman Test
Chapter 18. Analysis of Covariance
Chapter 19. Pearson’s Correlation and Spearman’s Correlation
Chapter 20. Single Linear Regression
Chapter 21. Multiple Linear Regression
Chapter 22. Logistic Regression
Chapter 23. Factor Analysis
Chapter 24. Chi-Square Goodness of Fit
Chapter 25. Chi-Square Test of Independence
Appendix A. Class Survey Database (Entered in Chapter 5)
Appendix B. Basic Inferential Statistics
Appendix C. Answers to Review Exercises

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