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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

Using aggregation to add fields to a file

A dataset contains information that is readily evident in the fields themselves, but it also has useful content that is inherent in data. Often, it is important to place specific values in a broader context to make them more meaningful. Personal income, for example, can be an important predictor in many situations but comparing someone's income with the average income in their area provides a more nuanced view of their relative economic situation. Similarly, a student score on a reading test can be compared to the national average but it is also useful to compare their score with other students in their district or school. A student's score may be just slightly preceding to the national norm but they may have one of the top scores in their school and they could benefit by being included in an advanced reading program.

For the...

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