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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

Pivoting table editing to enhance correlation matrices

A correlation matrix includes a lot of important information, but it can be challenging to make key patterns clearly evident. Editing the original table is often necessary to make it presentation-ready. The results shown previously in this chapter were edited using the pivot table editing techniques covered in Chapter 7, Creating New Data Elements.

Following are some additional editing capabilities that are particularly relevant to correlation matrices. In addition to resizing the variable names (or labels) to make them more compact and editing the row labels so they require less space, it is useful to modify the cell properties.

In the following screenshot, the rows labeled correlations are highlighted and then Select | Data and Label Cells is selected:

This results in just the rows containing correlations being selected...

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