Using IBM SPSS statistics: an interactive hands-on approach

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.--

Earlier edition has authors names reversed in order.

Includes index.

Appendices: pages 322-438.

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