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Data Analysis with IBM SPSS Statistics

You're reading from  Data Analysis with IBM SPSS Statistics

Product type Book
Published in Sep 2017
Publisher Packt
ISBN-13 9781787283817
Pages 446 pages
Edition 1st Edition
Languages
Authors (2):
Ken Stehlik-Barry Ken Stehlik-Barry
Profile icon Ken Stehlik-Barry
Anthony Babinec Anthony Babinec
Profile icon Anthony Babinec
View More author details

Table of Contents (17) Chapters

Preface 1. Installing and Configuring SPSS 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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