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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

Restructuring rows to columns

There are situations in which the way the data is structured needs to be altered before analytics can be conducted. This is related to the unit of analysis required for certain types of statistical comparisons. In most cases, the fact that the organization of the original data will not work is obvious but the way to address the problem is not immediately evident. SPSS Statistics includes a feature to restructure data to address the most common types of challenges.

There are three basic types of data restructuring that can be performed in SPSS using the restructure data wizard accessible via the Restructure choice on the Data menu. These choices can be seen along with a brief description in the following screenshot. By comparing the structure of the data you have with the structure necessary for the analysis you want to perform, the best approach to...

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