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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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Toc

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

Summary

In this first chapter, we covered the basic installation of IBM SPSS Statistics on a local machine running Windows. The standard install includes the Python scripting component and requires licensing the software via the Internet. Although the default setting for things like files and display options were not modified, you saw how these elements can be changed later if there is a need to do so.

Once SPSS was up and running, the software was launched and a very basic example was covered. This should give you a sense of how to get started analyzing your own as well as confirm that everything is functioning as expected in terms of using the tool.

Congratulations! You are now ready to begin exploring the capabilities of SPSS Statistics on your data or using one if the sample data sets such as the one used in the sample session above. Be sure to take advantage of the tutorials within the Help system to facilitate the process of learning SPSS.

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