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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 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

Explore procedure

To thoroughly examine the distribution of scale or interval level fields, you can employ the explore procedure in SPSS Statistics. The output provided by explore is more detailed than descriptives or frequencies, and includes more information on extreme values that may influence statistical measures in an undesirable manner. Navigate to Analyze | Descriptive Statistics | Explore to open the dialog box in the following figure and put the HIGHEST YEAR OF SCHOOL COMPLETED field in the upper box labeled Dependent List. Select OK to request the default output that explore generates:

The first section of results produced by Explore contains a set of descriptive statistics related to the distribution of the values. In addition to the mean, a 5% trimmed mean is calculated to show how removing the top and bottom 2.5% of the values influences the mean.

If the mean...

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