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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 2. Accessing and Organizing Data FREE CHAPTER 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

One-to-one merge - two data subsets from GSS2016

This example draws on the General Social Survey 2016 data. For this example, we created two data files from the GSS2016 data, and we will act as if they are two original files that we would like to merge.

Here is file 1:

File 1 has five rows and six variables. Note that id consists of sequential numbers 1 through 5, while the variables measure personal characteristics of the respondents.

Here is file 2:

File 2 has five rows and three variables. Note that id consists of sequential numbers 2 through 6, while the variables measure two forms of happiness.

The primary match key, id, has the same name in each file and the data codes have the same meaning. For example, an id value of 2 in each file refers to the same individual.

Several joins are possible. You could merge the files in such a way that the combined file has the following...

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