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Data Analysis with IBM SPSS Statistics

You're reading from   Data Analysis with IBM SPSS Statistics Implementing data modeling, descriptive statistics and ANOVA

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781787283817
Length 446 pages
Edition 1st Edition
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Authors (2):
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Ken Stehlik-Barry Ken Stehlik-Barry
Author Profile Icon Ken Stehlik-Barry
Ken Stehlik-Barry
Anthony Babinec Anthony Babinec
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Anthony Babinec
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Table of Contents (17) Chapters Close

Preface 1. Installing and Configuring SPSS FREE CHAPTER 2. Accessing and Organizing Data 3. Statistics for Individual Data Elements 4. Dealing with Missing Data and Outliers 5. Visually Exploring the Data 6. Sampling, Subsetting, and Weighting 7. Creating New Data Elements 8. Adding and Matching Files 9. Aggregating and Restructuring Data 10. Crosstabulation Patterns for Categorical Data 11. Comparing Means and ANOVA 12. Correlations 13. Linear Regression 14. Principal Components and Factor Analysis 15. Clustering 16. Discriminant Analysis

General points regarding SPSS transformation commands

We are going to discuss a few pointers of the tranform commands from the discussion so far:

  • Any of the basic transformation commands (RECODE, COMPUTE, COUNT, and IF) can be included within a DO IF structure. Statistical procedures and special purpose procedures such as AUTORECODE and OPTIMAL BINNING cannot be put inside a DO IF structure.
  • Transformation commands, unlike statistical procedures, are not executed immediately. If you create a command such as RECODE or COMPUTE using a dialog box, an EXECUTE command is included automatically, so the command gets processed. If you create a COMPUTE command in syntax and run the command, a Tranformations pending message appears at the bottom of each SPSS window you have open.
  • New variables created by transformation commands are added to the active data file and can be saved to the...
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