SPSS Demystified (3^rd Ed.) A Simple Guide and Reference

Without question, statistics is one of the most challenging courses for students in the social and behavioral sciences. Enrolling in their first statistics course, students are often apprehensive or extremely anxious toward the subject matter. And while SPSS is one of the more easy-to-use statistical software programs available, for anxious students who realize they not only have to learn statistics but also new software, the task can seem insurmountable. Keenly aware of students? anxiety with statistics (and the fact that this anxiety can affect performance), Ronald D. Yockey has written SPSS Demystified: A Simple Guide and Reference, now in its third edition. Through a comprehensive, step-by-step approach, this text is consistently and specifically designed to both alleviate anxiety toward the subject matter and build a successful experience analyzing data in SPSS.

Key features of the text:

• Step-by-step instruction and screenshots
• Designed to be hands-on with the user performing the analyses alongside on their computer as they read through each chapter
• Call-out boxes provided, highlighting important information as appropriate
• SPSS output explained, with written results provided using the popular, widely recognized APA format
• End-of-chapter exercises included, allowing for additional practice

Features and updates to this edition include: material updated to IBM SPSS 24 (available Fall 2016), including screenshots and data sets/end-of-chapter exercises.

Preface

Unit I. Introduction to SPSS, Descriptive Statistics, Graphical Procedures, And Reliability

Chapter 1. Introduction to SPSS

Chapter 2. Descriptive Statistics: Frequencies, Measures of Central Tendency, And Measures of Variability

Chapter 3. Graphical Procedures

Chapter 4. Reliability (As Measured by Coefficient Alpha)

Unit II. Inferential Statistics

Chapter 5. The One-Sample T Test

Chapter 6. The Independent-Samples T Test

Chapter 7. The Dependent-Samples T Test

Chapter 8. The One-Way Between Subjects Analysis of Variance (ANOVA)

Chapter 9. The Two-Way Between Subjects Analysis of Variance (ANOVA)

Chapter 10. The One-Way Within Subjects Analysis of Variance (ANOVA)

Chapter 11. The One-Between–One-Within Subjects Analysis of Variance (ANOVA)

Chapter 12. The Pearson R Correlation Coefficient

Chapter 13. Simple Linear Regression

Chapter 14. Multiple Linear Regression

Chapter 15. The Chi-Square Goodness of Fit Test

Chapter 16. The Chi-Square Test of Independence

Appendix A. Data Transformations and Other Procedures

Appendix B Solutions to Chapter Exercises

Notes

References

Index

Ronald D. Yockey, an award-winning professor of Quantitative Methods, has been teaching statistics at the undergraduate and graduate levels for nearly 20 years. While enjoying both teaching and research, Professor Yockey’s greatest professional thrill is in seeing others discover that statistics is a subject that can not only be understandable, but can also be fun!