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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 showed you how to read in data from two common file formats--Excel and delimited data. These are common file formats that are writeable by most software, so the ability to read these formats means that you can share data from many other applications.

This chapter also showed you how to save the data as an IBM SPSS Statistics data file. Of course, if you can save a file in that format, then you can use IBM SPSS Statistics to read that file format. The advantage of the SPSS Statistics file format is that the variable information and data are saved in a form that you can access directly. The SPSS Statistics file format is also the native file format of the IBM SPSS Modeler.

This chapter also discussed variable properties, which you can specify for the variables and then save in the IBM SPSS Statistics file format. Variable properties are important because they...

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