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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

SPSS procedures for comparing Means

The individual procedures available for conducting mean comparisons can be found under the Compare Means group within the Analyze menu, as shown in the following screenshot:

Starting with Means and progressing through One-Way ANOVA (the summary procedure will not be covered, since it is based on a Python add-on), the statistics available for evaluating mean differences become increasingly sophisticated. In addition, each of the techniques offers specialized statistics suited to the task they are designed to perform.

The Means procedure

The examples in this chapter will use the 33-variable subset of the General Social Survey data from 2016 that was the basis for the examples in Chapter 3...

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