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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 2. Accessing and Organizing Data FREE CHAPTER 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

Visually Exploring the Data

In the two preceding chapters, you saw examples of graphs used to provide visual insights regarding patterns in the data. The box and whisker plots in Chapter 3, Statistics for Individual Data Elements and Chapter 4, Dealing with Missing Data and Outliers, made it easy to see how many outliers were present in the data. The scatterplot in Chapter 4, Dealing with Missing Data and Outliers, singled out the multivariate outliers quite readily.

This chapter will look at graphs in more detail, both in terms of what is available in SPSS and how graphs can be modified to enhance your ability to see the key patterns in the data.

At the outset, it is worth distinguishing between graphs created to enable the analytical process of data discovery and presentation graphics designed to communicate the findings to a broader audience. The initial focus will be on using...

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