- Copyright
- About the Author
- Author's Acknowledgments
- Publisher's Acknowledgments
- Introduction
- I. The Fundamental Mechanics of SPSS
- 1. Introducing IBM SPSS Statistics
- 1.1. Garbage In, Garbage Out
- 1.2. Where Did SPSS Come From?
- 1.3. The Four Ways to Talk to SPSS
- 1.4. What You Can and Cannot Do with SPSS
- 1.5. How SPSS Works
- 1.6. Where SPSS Works
- 1.7. All the Strange Words
- 1.8. All Those Files
- 1.9. Where to Get Help When You Need It
- 1.10. Your Most Valuable Possession
- 1.11. You Can Dive as Deep as You Want to Go
- 2. Installing Software and Setting Options
- 3. A Simple Statistical Analysis Example
- 1. Introducing IBM SPSS Statistics
- II. Getting Data In and Out of SPSS
- 4. Entering Data from the Keyboard
- 5. Reading and Writing Files
- 6. Data and Data Types
- 7. Messing with the Data After It's in There
- 8. Getting Data Out of SPSS
- III. Graphing Data
- IV. Analysis
- V. Programming SPSS with Command Syntax
- VI. Programming SPSS with Python and Scripts
- 16. The Python Programming Language
- 16.1. Instructing Python: You Type It In and Python Does It
- 16.2. Understanding the Way Python Does Arithmetic
- 16.3. Understanding the Way Python Handles Words
- 16.4. Understanding the Way Python Handles Lists
- 16.5. Making Functions
- 16.6. Making Decisions with if/else
- 16.7. Doing It Over Again with for and while
- 17. Python inside SPSS
- 18. Scripts
- 16. The Python Programming Language
- VII. The Part of Tens
- glossary
In this part. . .
This is the math part. SPSS is so good at it, you can almost hear the numbers crunching. The good news is that you don't have to worry about how to crunch the numbers yourself — all you need to know is how to tell SPSS to crunch the numbers.
Simply select your preferred cruncher, and SPSS does the rest. The output is nicely formatted in a form you can use to impress others. You are the statistical Harry Potter and SPSS is your magic wand.
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