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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

Hierarchical cluster analysis example

The example data is the USA violent crime data previously analyzed via the Principal components analysis section in Chapter 14, Principal Components and Factor Analysis. Recall that the data consists of state-level data for the 50 states of the USA and also the District of Columbia. The data came from the year 2014, the most recent year available on our source website. For a full description of the data, see Chapter 14, Principal Components and Factor Analysis.

The goal is to use the seven crime rate variables as inputs in a hierarchical cluster analysis. The variables are:

  • MurderandManslaughterRate
  • RevisedRapeRate
  • RobberyRate
  • AggravatedAssaultRate
  • BurglaryRate
  • Larceny_TheftRate
  • MotorVehicleTheftRate

The overall problem size is small. The data is complete; there is no missing data. We are primarily interested in description, and there is...

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