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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

Example of combining cases using ADD FILES

In this example, we have GSS2014 and GSS2016 files that have some variables in common. Using ADD FILES, we create a combined file.

Following is a screenshot of the first five rows of data from a GSS2014 extract:

The file has 2,538 rows and five variables.

Here is a screenshot of the first five rows of data from a GSS2016 extract:

The file has 2,867 row and 29 variables.

Suppose that you wish to combine the files. While the 2016 image does not show all the fields, it turns out that the 2016 file has the same five variables as the 2014 file (along with many others). Considering the five variables in more detail, there are a couple things to take care of in the merge.

First, the ID fields have duplicate values across the two files because the ID numbers are internal to each file. In this situation, you should take some action to make the...

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