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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

Getting the sample data

The examples in this section will use a subset of the General Social Survey from 2016 with only 28 fields out of the original 896. After downloading and opening the General Social Survey file for 2016 in the SPSS Statistics format, you can run the following code to create a file that will produce the same results shown in this chapter. Remember to change the directory reference on the second line of the SPSS code to reflect the directory on your machine where you want to have this new file saved:

* create GSS2014small with 28 fields.
* change the directory reference below as needed.
SAVE OUTFILE='C:GSS DataGSS2014sm28.sav'
/keep = happy marital hapmar age
VOTE12 PRES12 educ speduc natpark natroad NATENRGY cappun natmass natchld natsci
partyid degree incom16 satfin size spdeg polviews
rincom16 res16 childs wrkstat sex region /COMPRESSED.
...
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