Book Image

Data Analysis with IBM SPSS Statistics

By : Ken Stehlik-Barry, Anthony Babinec
Book Image

Data Analysis with IBM SPSS Statistics

By: Ken Stehlik-Barry, Anthony Babinec

Overview of this book

SPSS Statistics is a software package used for logical batched and non-batched statistical analysis. Analytical tools such as SPSS can readily provide even a novice user with an overwhelming amount of information and a broad range of options for analyzing patterns in the data. The journey starts with installing and configuring SPSS Statistics for first use and exploring the data to understand its potential (as well as its limitations). Use the right statistical analysis technique such as regression, classification and more, and analyze your data in the best possible manner. Work with graphs and charts to visualize your findings. With this information in hand, the discovery of patterns within the data can be undertaken. Finally, the high level objective of developing predictive models that can be applied to other situations will be addressed. By the end of this book, you will have a firm understanding of the various statistical analysis techniques offered by SPSS Statistics, and be able to master its use for data analysis with ease.
Table of Contents (17 chapters)
4
Dealing with Missing Data and Outliers
10
Crosstabulation Patterns for Categorical Data

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...