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Using IBM SPSS Statistics
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Using IBM SPSS Statistics
An Interactive Hands-On Approach

Third Edition
August 2018 | 504 pages | SAGE Publications, Inc
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Using IBM® SPSS® Statistics: An Interactive Hands-On Approach, Third Edition gives readers an accessible and comprehensive guide to walking through SPSS®, providing them with step-by-step knowledge for effectively analyzing their data. From entering data to working with existing databases, and working with the help menu through performing factor analysis, Using IBM® SPSS® Statistics covers every aspect of SPSS® from introductory through intermediate statistics. The book is divided into parts that focus on mastering SPSS® basics, dealing with univariate statistics and graphing, inferential statistics, relational statistics, and more. Written using IBM® SPSS® version 25 and 24, and compatible with the earlier releases, this book is one of the most comprehensive SPSS® guides available.  


 
Preface
 
Acknowledgments
 
About the Author
 
SECTION I. SPSS COMMANDS AND ASSIGNMENT OF LEVELS OF MEASUREMENT
 
1. First Encounters
1.1 Introduction and Objectives

 
1.2 Entering, Analyzing, and Graphing Data

 
1.3 Summary

 
1.4 Review Exercises

 
 
2. Navigating in SPSS
2.1 Introduction and Objectives

 
2.2 SPSS Variable View Screen

 
2.3 SPSS Data View Screen

 
2.4 SPSS Main Menu

 
2.5 Data Editor Toolbar

 
2.6 Variable View Screen: A Closer Look

 
2.7 Summary

 
2.8 Review Exercises

 
 
3. Getting Data In and Out of SPSS
3.1 Introduction and Objectives

 
3.2 Typing Data Using the Computer Keyboard

 
3.3 Saving Your SPSS Data Files

 
3.4 Saving Your SPSS Output Files

 
3.5 Opening Your Saved SPSS Files

 
3.6 Opening SPSS Sample Files

 
3.7 Copying and Pasting Data to Other Applications

 
3.8 Exporting SPSS Files to Other Applications

 
3.9 Importing Files From Other Applications

 
3.10 Summary

 
3.11 Review Exercises

 
 
4. Levels of Measurement
4.1 Introduction and Objectives

 
4.2 Variable View Screen: Measure Column

 
4.3 Variables Measured at the Nominal Level

 
4.4 Variables Measured at the Ordinal Level

 
4.5 Variables Measured at the Scale Level

 
4.6 Using SPSS to Suggest Variable Measurement Levels

 
4.7 Summary

 
4.8 Review Exercises

 
 
5. Entering Variables and Data and Validating Data
5.1 Introduction and Objectives

 
5.2 Entering Variables and Assigning Attributes (Properties)

 
5.3 Entering Data for Each Variable

 
5.4 Validating Data for Datasets

 
5.5 Summary

 
5.6 Review Exercises

 
 
6. Working With Data and Variables
6.1 Introduction and Objectives

 
6.2 Computing a New Variable

 
6.3 Recoding Scale Data Into a String Variable

 
6.4 Data Transformation

 
6.5 Split Cases for Independent Analysis

 
6.6 Obtaining a Simple Random Sample (SRS)

 
6.7 Inserting New Variables and Cases Into Existing Datasets

 
6.8 Data View Page: Copy, Cut, and Paste Procedures

 
6.9 Summary

 
6.10 Review Exercises

 
 
7. Printing Data View, Variable View, and Output Viewer Screens
7.1 Introduction and Objectives

 
7.2 Printing Data From the Variable View Screen

 
7.3 Printing Variable Information From the Output Viewer

 
7.4 Printing Tables From the Output Viewer

 
7.5 Summary

 
7.6 Review Exercises

 
 
8. Using the SPSS Help Menu
8.1 Introduction and Objectives

 
8.2 Help Options

 
8.3 Using SPSS Tutorials

 
8.4 Using SPSS Case Studies

 
8.5 Using Context Sensitive

 
8.6 Summary

 
8.7 Review Exercises

 
 
SECTION II. DESCRIPTIVE STATISTICS AND GRAPHING
 
9. Descriptive Statistics
9.1 Introduction and Objectives

 
9.2 Measures of Central Tendency

 
9.3 Measures of Dispersion

 
9.4 The Big Question: Are the Data Normally Distributed?

 
9.5 Descriptive Statistics for the Class Survey

 
9.6 Summary

 
9.7 Review Exercises

 
 
10. Creating Graphs for Nominal and/or Ordinal Data
10.1 Introduction and Objectives

 
10.2 A Brief Introduction to the Chart Builder

 
10.3 Using the Chart Builder to Build a Simple 3-D Pie Graph

 
10.4 Building a Population Pyramid

 
10.5 Building the Stacked Bar Graph (percentage of stack’s total)

 
10.6 Summary

 
10.7 Review Exercises

 
 
11. Creating Graphs for Continuous Data
11.1 Introduction and Objectives

 
11.2 Creating a Histogram

 
11.3 Creating a Boxplot

 
11.4 Creating a Paneled Graph

 
11.5 Summary

 
11.6 Review Exercises

 
 
SECTION III. BASIC INFERENTIAL STATISTICS
 
12. Inferential Statistics
12.1 Introduction and Objectives

 
12.2 Populations

 
12.3 Sampling

 
12.4 Normal Curve

 
12.5 Standard Error

 
12.6 Confidence Intervals

 
12.7 Hypothesis Testing

 
12.8 Statistical Significance

 
12.9 Type I (Alpha) and Type II (Beta) Errors

 
12.10 Research Steps in Hypothesis Testing

 
12.11 Parametric Versus Nonparametric Tests

 
12.12 Practical Versus Statistical Significance

 
12.13 Summary

 
12.14 Review Exercises

 
 
13. One-Sample t Test and a Binomial Test of Equality
13.1 Introduction and Objectives

 
13.2 Research Scenario and Test Selection

 
13.3 Research Question and Null Hypothesis

 
13.4 Data Input, Analysis, and Interpretation of Output

 
13.5 Confidence Intervals

 
13.6 Nonparametric Test: The Binomial Test of Equality

 
13.7 Summary

 
13.8 Review Exercises

 
 
14. Independent-Samples t Test and the Mann–Whitney U Test
14.1 Introduction and Objectives

 
14.2 Research Scenario and Test Selection

 
14.3 Research Question and Null Hypothesis

 
14.4 Data Input, Analysis, and Interpretation of Output

 
14.5 Nonparametric Test: Mann–Whitney U Test

 
14.6 Summary

 
14.7 Review Exercises

 
 
15. Paired-Samples t Test and the Wilcoxon Test
15.1 Introduction and Objectives

 
15.2 Research Scenario and Test Selection

 
15.3 Research Question and Null Hypothesis

 
15.4 Data Input, Analysis, and Interpretation of Output

 
15.5 Nonparametric Test: Wilcoxon Signed-Ranks Test

 
15.6 Summary

 
15.7 Review Exercises

 
 
16. One-Way ANOVA and Kruskal–Wallis Test
16.1 Introduction and Objectives

 
16.2 Research Scenario and Test Selection

 
16.3 Research Question and Null Hypothesis

 
16.4 Data Input, Analysis, and Interpretation of Output

 
16.5 Nonparametric Test: Kruskal–Wallis Test

 
16.6 Summary

 
16.7 Review Exercises

 
 
17. One-Way ANOVA Repeated Measures Test and Friedman Test
17.1 Introduction and Objectives

 
17.2 Research Scenario and Test Selection

 
17.3 Research Question and Null Hypothesis

 
17.4 Data Input, Analysis, and Interpretation of Output

 
17.5 Nonparametric Test: Friedman Test

 
17.6 Summary

 
17.7 Review Exercises

 
 
18. Two-Way ANOVA (Factorial)
18.1 Introduction and Objectives

 
18.2 Research Scenario and Test Selection

 
18.3 Research Question and Null Hypothesis

 
18.4 Data Input, Analysis, and Interpretation of Output

 
18.5 Summary

 
18.6 Review Exercises

 
 
19. Analysis of Covariance (ANCOVA)
19.1 Introduction and Objectives

 
19.2 Research Scenario and Test Selection

 
19.3 Research Question and Null Hypothesis

 
19.4 Data Input, Analysis, and Interpretation of Output

 
19.5 Summary

 
19.6 Review Exercises

 
 
20. Chi-Square Goodness of Fit
20.1 Introduction and Objectives

 
20.2 Research Scenario and Test Selection: Legacy Dialogs

 
20.3 Research Question and Null Hypothesis: Legacy Dialogs

 
20.4 Data Input, Analysis, and Interpretation of Output: Legacy Dialogs

 
20.5 Research Scenario and Test Selection: One Sample

 
20.6 Research Question and Null Hypothesis: One Sample

 
20.7 Data Input, Analysis, and Interpretation of Output: One Sample

 
20.8 Summary

 
20.9 Review Exercises

 
 
21. Chi-Square Test of Independence
21.1 Introduction and Objectives

 
21.2 Research Scenario and Test Selection: Summarized Data

 
21.3 Research Question and Null Hypothesis: Summarized Data

 
21.4 Data Input, Analysis, and Interpretation of Output: Summarized Data

 
21.5 Research Scenario and Test Selection: Raw Data

 
21.6 Research Question and Null Hypothesis: Raw Data

 
21.7 Data Input, Analysis, and Interpretation of Output: Raw Data

 
21.8 Summary

 
21.9 Review Exercises

 
 
SECTION IV. RELATIONAL STATISTICS – PREDICTION, DESCRIBING, AND EXPLORING MULTIVARIABLE RELATIONSHIPS
 
22. Pearson’s and Spearman’s Correlation Coefficients
22.1 Introduction and Objectives

 
22.2 Research Scenario and Test Selection

 
22.3 Research Question and Null Hypothesis

 
22.4 Data Input, Analysis, and Interpretation of Output

 
22.5 Nonparametric Test: Spearman’s Correlation Coefficient

 
22.6 Summary

 
22.7 Review Exercises

 
 
23. Simple Linear Regression
23.1 Introduction and Objectives

 
23.2 Research Scenario and Test Selection

 
23.3 Research Question and Null Hypothesis

 
23.4 Data Input

 
23.5 Data Assumptions (Normality)

 
23.6 Data Assumptions (Linear Relationship)

 
23.7 Regression and Prediction

 
23.8 Interpretation of Output (Data Assumptions)

 
23.9 Interpretation of Output (Regression and Prediction)

 
23.10 Research Question Answered

 
23.11 Summary

 
23.12 Review Exercises

 
 
24. Multiple Linear Regression
24.1 Introduction and Objectives

 
24.2 Research Scenario and Test Selection

 
24.3 Research Question and Null Hypothesis

 
24.4 Data Input

 
24.5 Data Assumptions (Normality)

 
24.6 Regression and Prediction

 
24.7 Interpretation of Output (Data Assumptions)

 
24.8 Interpretation of Output (Regression and Prediction)

 
24.9 Research Question Answered

 
24.10 Summary

 
24.11 Review Exercises

 
 
25. Logistic Regression
25.1 Introduction and Objectives

 
25.2 Research Scenario and Test Selection

 
25.3 Research Question and Null Hypothesis

 
25.4 Data Input, Analysis, and Interpretation of Output

 
25.5 Summary

 
25.6 Review Exercises

 
 
26. Factor Analysis
26.1 Introduction and Objectives

 
26.2 Research Scenario and Test Selection

 
26.3 Research Question and Null Hypothesis

 
26.4 Data Input, Analysis, and Interpretation of Output

 
26.5 Summary

 
26.6 Review Exercises

 
 
Appendix A. Class Survey Dataset (Entered in Chapter 5)
 
Appendix B. Normal Curve Interpretation
 
Appendix C. Answers to Review Exercises 1, 2, and 3
 
Appendix D. Datasets Listed by Chapter
 
Index

Supplements

Student Study Website

The open-access Student Study Site includes the following:

  • Step-by-Step SPSS® Tutorial Videos created by the author provide screencast demonstrations for 26 key chapter concepts.
  • Mobile-friendly web quizzes allow for independent assessment of progress made in learning course material.
  • A selection of downloadable datasets for use with end-of-chapter exercises and data entry practice.
  • Direct access to SPSS sample files used in the book.

Instructor Website

Password-protected Instructor Resources include the following:

  • Pre-written quizzes provide a diverse range of multiple choice and T/F questions for each chapter, as well as the opportunity to edit questions or insert your own to effectively assess students’ progress and understanding.
  • Direct access to all datasets and SPSS sample files used in the book allows instructors to decide which to make available for students, as well as the level and frequency of challenging the student with structuring and entering data.
  • The answers, with explanations, for exercises 4 and 5 found at the end of each chapter, which instructors can assign as homework or exam questions.
  • Step-by-Step SPSS® Tutorial Videos created by the author provide screencast demonstrations for 26 key chapter concepts.
  • Tables and figures from the book available for download.

“I am very appreciative of the authors' depth and clear writing with comprehensible and useful examples throughout this text.”

Dr. Billy R. Brocato
Texas A&M University-San Antonio

This book can be used as a reference for those who want to learn how to apply basic techniques in SPSP but is too basic for academic teaching.

Dr Sharon Hadad 0542454293
Economics, Sapir Academic College
August 5, 2022
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Clear and concise instructional textbook and manual for students.

Dr Bill Brocato
Social Sciences Dept, Univ Of Maryland Eastern Shore
September 10, 2021
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I teach SPSS for the Psychology class

Dr Dessalegn Guyo
Psychology, Bowie State University
January 28, 2020
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This text is relevant to all of the statistics courses I currently teach. Students often find themselves lost with the steps associated with running statistical analyses in SPSS. It will be adopted and suggested as an additional textbook to assist them with their statistics course as we fully utilize SPSS in our program.

Charlalynn Harris
Online & Professional Studies, California Baptist University
February 12, 2020
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