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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 FREE CHAPTER 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

Summary

This chapter focused on the capabilities of the crosstabs procedure in SPSS Statistics. Exploring relationships among categorical fields is central to many data analysis projects. Crosstabs provides both tabular results, which can be visually evaluated, and summary statistics, which assess the presence and the strength of the relationship between the measures under consideration. Categorical fields can be nominal, ordinal, or interval in terms of their measurement level, and the statistics appropriate for each of these were reviewed.

Crosstabs results are presented in the form of pivot tables and the SPSS capabilities for editing these tables was covered in this chapter. Understanding what to include in a table and how to interpret the patterns in a table, as well as the associated statistics for the table, are important topics addressed in the preceding sections. As you...

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