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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

Aggregating and Restructuring Data

There are many instances in which the data provided initially needs to be changed before analysis can begin. Chapter 7, Creating New Data Elements, described a variety of SPSS capabilities to create new variables using the transformations commands and Chapter 8, Adding and Matching files, dealt with the capabilities available to match and add files. This chapter builds on what was covered in these two chapters by introducing the use of aggregation to create summary variables by calculating statistics such as the mean, sum, minimum and maximum across a set of cases in the data. This information can be used to add fields for analytical purposes, and the aggregated file itself can be used to conduct investigations using a different unit of analysis.

The key topics that will be addressed in this chapter are as follows:

  • Adding aggregated fields back...
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