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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

Descriptive statistics for numeric fields

The descriptives procedure in SPSS Statistics provides you with an easy way to get a comprehensive picture of all the numeric fields in a dataset. As was noted in Chapter 2, Accessing and Organizing Data, the way in which a field is coded determines how it can be used in SPSS Statistics. Data fields coded with characters will not be available for use in the Descriptives dialog as it produces summary statistics only. Text fields in your data will need to be examined using a different approach, which will be covered next section of this chapter.

To obtain a table with all the numeric fields from your data along with some basic information such as the count, mean, and standard deviation, select Descriptive Statistics under the Analyze menu and click on the second choice, Descriptives. Highlight the first field--which in this dataset...

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