Summary
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.
Table of Contents
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
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