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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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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

Sampling, Subsetting, and Weighting

You are often interested in analyzing a subset of cases and even treating that subset as a dataset in its own right. SPSS Statistics provides facilities to find subgroups of cases based on logical criteria, time or case ranges, random sampling, or values of a specific variable. This activity sometimes goes by the terms drilling down or filtering.

A related idea is weighting. Here, fewer records might stand in for more if you have a case weight variable that represents case replication.

In this chapter, we will consider SPSS Statistics commands that enable us to perform case selection, sampling, and weighting, in particular, the following topics:

  • Various forms of case selection
  • Temporary case selection with Temporary
  • Random sampling of cases with Sample
  • Repeating analyses in case subsets with Split File
  • Weighting with Weight
...
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