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Data Analysis with IBM SPSS Statistics

You're reading from  Data Analysis with IBM SPSS Statistics

Product type Book
Published in Sep 2017
Publisher Packt
ISBN-13 9781787283817
Pages 446 pages
Edition 1st Edition
Languages
Authors (2):
Ken Stehlik-Barry Ken Stehlik-Barry
Profile icon Ken Stehlik-Barry
Anthony Babinec Anthony Babinec
Profile icon Anthony Babinec
View More author details

Table of Contents (17) Chapters

Preface 1. Installing and Configuring SPSS 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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