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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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Toc

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

The COMPUTE command

The COMPUTE command is the workhorse of the transformation capability within SPSS. It provides access to a very broad set of functions that allow one to create logical expressions of virtually any type.

The following figure shows the basic dialog for this command, including a partial list of the many functions you can use and the calculator section with logical operators available:

The MEAN function can be used to create a new field containing each customer's average across the six satisfaction questions included in the survey (refer to following screenshot). Any of the six questions that has a missing value for a row in the data is excluded from the calculation, and the denominator is automatically adjusted to reflect the number of variables used as the basis for the mean:

The syntax produced from the dialog box is shown next:

COMPUTE  meansat=MEAN...
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