IBM SPSS Essentials, 2nd Edition

Table of contents

1. Cover
2. IBM SPSS Essentials
3. Copyright
4. Dedication
5. Preface
   1. Part I: Introduction
   2. Part II: Statistics
   3. Part III: Advanced Data Management
6. Acknowledgments
7. Author Biography
8. Part I: Introduction
   1. 1 What is SPSS?
      1. Chapter Learning Objectives
      2. What Is SPSS Used For
      3. Summary
   2. 2 Navigating SPSS
      1. Chapter Learning Objectives
      2. How the Program Works
      3. Managing Your SPSS Life
      4. Summary
   3. 3 Introduction to Data
      1. Chapter Learning Objectives
      2. Understanding Your Data
      3. The SPSS Data Perspective
      4. Your Data in SPSS – Think Matrices
      5. Summary
   4. 4 Getting Your Data into SPSS
      1. Chapter Learning Objectives
      2. Before SPSS
      3. Specifying Operations Through SPSS
      4. Numeric Versus String Variables
      5. Data Entry Within the Syntax File
      6. “Saving” Populated Datafiles
      7. Summary
      8. References
      9. Note
   5. 5 Accessing Your Data
      1. Chapter Learning Objectives
      2. Accessing Your Data Files
      3. Importing Data from Excel
      4. Summary
   6. 6 Defining Your Data
      1. Chapter Learning Objectives
      2. Annotation
      3. Defining Your Dataset
      4. Summary
9. Part II: Statistics
   1. 7 Descriptive Statistics
      1. Chapter Learning Objectives
      2. Frequencies
      3. Displaying Data Graphically
      4. Descriptive Statistics
      5. A General Note on Analyses
      6. A General Note About Output Files
      7. Summary
   2. 8 Hypothesis Testing
      1. Chapter Learning Objectives
      2. Descriptive Versus Inferential Statistics
      3. Hypothesis Testing (A Process for Interpreting Inferential Statistics)
      4. Summary
      5. Notes
   3. 9 Z‐ and T‐Tests
      1. Chapter Learning Objectives
      2. The One Sample Z‐Test
      3. The t‐Test
      4. Summary
      5. Notes
   4. 10 Inferential Analyses (ANOVAs)
      1. Chapter Learning Objectives
      2. One‐Way ANOVA (One‐Way Command)
      3. Repeated‐Measures ANOVA (GLM Command)
      4. Factorial ANOVA (Unianova Command)
      5. Follow‐Up Contrasts
      6. Summary
      7. Reference
   5. 11 Inferential Analyses (Correlation or Regression)
      1. Chapter Learning Objectives
      2. Correlation
      3. Simple Regression
      4. Multiple Regression
      5. Hierarchical Regression
      6. Visualizing Your Relationship
      7. Summary
   6. 12 Nonparametric Analyses
      1. Chapter Learning Objectives
      2. Parametric Versus Nonparametric Analyses
      3. “The” (Pearson's) Chi‐Square: χ2
      4. Summary
      5. Note
10. Part III: Advanced Data Management
    1. 13 Manipulating Your Data
       1. Chapter Learning Objectives
       2. Creating Scale Scores
       3. How SPSS Thinks About Data
       4. The Importance of Selecting All
       5. Summary
    2. 14 Collapsing and Merging Data Files
       1. Chapter Learning Objectives
       2. Same People, Different Information
       3. Different People, Same Information
       4. Summary
       5. Note
    3. 15 Differential Treatment of Your Data
       1. Chapter Learning Objectives
       2. Isolating Interesting Cases
       3. Summary
    4. 16 Using Your Output
       1. Chapter Learning Objectives
       2. Problem Solving
       3. Maximizing Output Information
       4. Summary
    5. 17 Other Tricks of the Trade
       1. Chapter Learning Objectives
       2. Salvaging Old Syntax
       3. Tricking SPSS To “Think” Across Rows
       4. “Do If” and “End If”
       5. Summary
11. Appendix A: Appendix ACompleted Questionnaire Form Example
12. Appendix B: Appendix BExample Code Sheet for Questionnaire
13. Appendix C: Appendix CSummary of Creating and Defining a Data File
14. Appendix D: Appendix DExample Syntax File Integrating Multiple Commands (Fulfilling Multiple Purposes)
15. Appendix E: Appendix ECommands To Know, Organized By Importance
16. Answers to Chapter Discussion Questions
17. Index
18. End User License Agreement