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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

Statistical and graphical summary of the data

There are many exploratory analyses that you can undertake at this point. Here, we show a simple table means as well as a scatterplot matrix that reveals the group structure.

Here are the group means on the attributes:

These statistics are presented for descriptive purposes. You are looking for overt differences in the means across the three types. If an input's means vary across type, then this suggests that the variable might be a useful discriminator. On the other hand, do not make too much of apparent differences as these are single-variable statistics. Discriminant analysis brings all of the inputs into the model at the same time, and therefore you get a sense of a variable's impact in the presence of other variables.

You might also try various charts. Here is a scatterplot matrix showing five of the attributes:

The...

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