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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

Percentages in crosstabs

The examples in this chapter will use the small version of the General Social Survey data from 2016 that was the basis for the examples in Chapters 3, Statistics for Individual Data Elements and Chapter 4, Dealing with Outliers and Missing Data. Open the SPSS data file you created earlier (or download and open the full GSS2016 following the steps in Chapters 3, Statistics for Individual Data Elements).

Go to Analyze | Descriptives Statistics | Crosstabs to bring up the dialog box in the following figure:

Add the GENERAL HAPPINESS variable to the row box and the SATISFACTION WITH FINANCIAL SITUATION variable to the column box. Typically, the independent variable is placed in the column position, and the dependent variable in the row position for a crosstabulation. Here, one might posit that a person's financial situation may have an impact on their...

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