SPSS Demystified

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 IBM 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 fourth 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®. Topics covered in the text are appropriate for most introductory and intermediate statistics and research methods courses.

Key features of the text:

• Step-by-step instruction and screenshots

• Designed to be hands-on with the user performing the analyses alongside the text 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

• SPSS® data sets available on the publisher’s website

New to the Fourth Edition:

• Fully updated to SPSS® 28

• Updated screenshots in full color to reflect changes in the SPSS® software system (version 28)

• Exercises updated with up-to-date examples

• Exact p-values provided (consistent with APA recommendations)

Table of Contents

Part I Introduction to SPSS, Descriptive Statistics, Graphical Procedures of Data, and Reliability Using Coefficient Alpha

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)

Part 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

About the Author

Ronald D. Yockey is an award-winning professor of Quantitative Methods at California State University, Fresno (USA) and has been teaching statistics at the undergraduate and graduate levels for more than 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.