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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

Discovering coding issues using frequencies

The frequency distribution for INCOME in the following screenshot demonstrates another reason why it is important to examine the pattern for individual data fields before diving into analytics more deeply. Navigate to Analyze | Descriptive Statistics | Frequencies, and select Respondents Income to build this table:

The values coded in the data are displayed in Figure 3 along with the associated value labels. This was done on the Edit | Options | Output screen by specifying values and labels in the dropdown at the lower left under to pivot table labeling.

People are often reluctant to divulge their income so surveys typically ask them to select an income category like the groupings in this table. Notice, however, that the groups (numbered 1 through 26) represent unequal bands of income. The groups coded 3 thru 7 represent a range of...

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