- SPSS (Statistical Package for the Social Sciences) is a data management and analysis software that allows users to generate solid, decision-making results by performing statistical analysis
- This book provides just the information needed: installing the software, entering data, setting up calculations, and analyzing data
- Covers computing cross tabulation, frequencies, descriptive ratios, means, bivariate and partial correlations, linear regression, and much more
- Explains how to output information into striking charts and graphs
- For ambitious users, also covers how to program SPSS to take their statistical analysis to the next level
Table of Contents:
Introduction. Part I: The Fundamental Mechanics of SPSS.
Chapter 1: Introducing SPSS.
Chapter 2: Installing and Running the Software.
Chapter 3: A Simple Statistical Analysis Example.
Part II: Getting Data into and out of SPSS.
Chapter 4: Entering Data from the Keyboard.
Chapter 5: Reading and Writing Files.
Chapter 6: Data and Data Types.
Chapter 7: Messing with the Data After It’s in There.
Chapter 8: Getting Data out of SPSS.
Part III: Graphing Data.
Chapter 9: Fundamentals of Graphing.
Chapter 10: Some Types of Graphs.
Chapter 11: More Types of Graphs.
Chapter 12: Maps.
Part IV: Analysis.
Chapter 13: Executing an Analysis.
Chapter 14: Some Analysis Examples.
Part V: Programming SPSS with Command Syntax.
Chapter 15: The Command Syntax Language.
Chapter 16: Command Syntax Language Examples.
Part VI: Programming SPSS with Python and Scripts.
Chapter 17: The Python Programming Language.
Chapter 18: Python inside SPSS.
Chapter 19: Scripts.
Part VII: The Part of Tens.
Chapter 20: Ten Modules You Can Add to SPSS.
Chapter 21: Ten Useful Things You Can Find on the Internet.
Glossary.
Index.
About the Author :
Arthur Griffith uses SPSS in research for special projects with the U.S. Department of Defense. He is the author and producer of seven CD tutorials on computer programming.