Search icon Close icon
Search icon CANCEL
Subscription
0
Cart icon
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Data Analysis with IBM SPSS Statistics

You're reading from  Data Analysis with IBM SPSS Statistics

Product type Book
Published in Sep 2017
Publisher Packt
ISBN-13 9781787283817
Pages 446 pages
Edition 1st Edition
Languages
Concepts
Authors (2):
Ken Stehlik-Barry Ken Stehlik-Barry
Profile icon Ken Stehlik-Barry
LinkedIn
Kenneth Stehlik-Barry, PhD, joined SPSS as Manager of Training in 1980 after using SPSS for his own research for several years. Working with others at SPSS, including Anthony Babinec, he developed a series of courses related to the use of SPSS and taught these courses to numerous SPSS users. He also managed the technical support and statistics groups at SPSS. Along with Norman Nie, the founder of SPSS and Jane Junn, a political scientist, he co-authored Education and Democratic Citizenship. Dr. Stehlik-Barry has used SPSS extensively to analyze data from SPSS and IBM customers to discover valuable patterns that can be used to address pertinent business issues. He received his PhD in Political Science from Northwestern University and currently teaches in the Masters of Science in Predictive Analytics program there.
Read more
See other products by Ken Stehlik-Barry
Anthony Babinec Anthony Babinec
Profile icon Anthony Babinec
LinkedIn
Anthony J. Babinec joined SPSS as a Statistician in 1978 after assisting Norman Nie, SPSS founder, in a research methods class at the University of Chicago. Anthony developed SPSS courses and trained many SPSS users. He also wrote many examples found in SPSS documentation and worked in technical support. Anthony led a business development effort to find products implementing then-emerging new technologies such as CHAID decision trees and neural networks and helped SPSS customers successfully apply them. Anthony uses SPSS in consulting engagements and teaches IBM customers how to use its advanced features. He received his BA and MA in Sociology with a specialization in Advanced Statistics from the University of Chicago and teaches classes at the Institute for Statistics Education. He is on the Board of Directors of the Chicago Chapter of the American Statistical Association, where he has served in different positions including President.
Read more
See other products by Anthony Babinec
View More author details

Table of Contents (17) Chapters

Preface 1. Installing and Configuring SPSS 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

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...

lock icon The rest of the chapter is locked
arrow left Previous Section
Section 4 of 7
Next Section arrow right
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Sign up now
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Start free trial
Renews at $15.99/month. Cancel anytime}

Authors (2)

Left arrow icon
Profile icon Ken Stehlik-Barry
LinkedIn
Kenneth Stehlik-Barry, PhD, joined SPSS as Manager of Training in 1980 after using SPSS for his own research for several years. Working with others at SPSS, including Anthony Babinec, he developed a series of courses related to the use of SPSS and taught these courses to numerous SPSS users. He also managed the technical support and statistics groups at SPSS. Along with Norman Nie, the founder of SPSS and Jane Junn, a political scientist, he co-authored Education and Democratic Citizenship. Dr. Stehlik-Barry has used SPSS extensively to analyze data from SPSS and IBM customers to discover valuable patterns that can be used to address pertinent business issues. He received his PhD in Political Science from Northwestern University and currently teaches in the Masters of Science in Predictive Analytics program there.
Read more
See other products by Ken Stehlik-Barry
Profile icon Anthony Babinec
LinkedIn
Anthony J. Babinec joined SPSS as a Statistician in 1978 after assisting Norman Nie, SPSS founder, in a research methods class at the University of Chicago. Anthony developed SPSS courses and trained many SPSS users. He also wrote many examples found in SPSS documentation and worked in technical support. Anthony led a business development effort to find products implementing then-emerging new technologies such as CHAID decision trees and neural networks and helped SPSS customers successfully apply them. Anthony uses SPSS in consulting engagements and teaches IBM customers how to use its advanced features. He received his BA and MA in Sociology with a specialization in Advanced Statistics from the University of Chicago and teaches classes at the Institute for Statistics Education. He is on the Board of Directors of the Chicago Chapter of the American Statistical Association, where he has served in different positions including President.
Read more
See other products by Anthony Babinec
Right arrow icon

Other recommended products

Related to this chapter
Left arrow icon
IBM SPSS Modeler Essentials
IBM SPSS Modeler Essentials
Read more
IBM SPSS Modeler allows quick, efficient predictive analytics and insight building from your data, and is a popularly used data mining tool. This book will guide you through the data mining process, and presents relevant statistical methods which are used to build predictive models and conduct other analytic tasks using IBM SPSS Modeler. From importing the data to finding hidden relationships within it, you will be able to build solid data mining solutions and then deploy them to production. The book also contains valuable information on evaluating and enhancing the performance of your data models.
Read more
Dec 2017 7 hours 56 minutes
Associations and Correlations
Associations and Correlations
Read more
Through this book, you’ll learn why most statistical techniques give incorrect results and what you can do to avoid the most common pitfalls. You’ll learn how to make sure you get the correct results the first time, every time.
Read more
Jun 2019 4 hours 28 minutes
Data Analysis with R
Data Analysis with R
Read more
R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. Starting with the basics of R and statistical reasoning, this book dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples.
Read more
Mar 2018 19 hours 0 minutes
SAS for Finance
SAS for Finance
Read more
SAS is the ground-breaking tool for advanced, predictive, and statistical analytics. Right from refining your data using power of SAS analytics, you will be able to exploit the capabilities of high-powered package to create accurate financial models. You can easily assess the pros and cons of models to suit unique business needs.
Read more
May 2018 10 hours 12 minutes
R Statistics Cookbook
R Statistics Cookbook
Read more
With this book, you will learn to execute a series of intermediate to advanced statistical tasks as you walk through each chapter. You will not only get well versed with the traditional statistics but you will also cover the necessary statistics required for machine learning and deep learning concepts.
Read more
Mar 2019 14 hours 56 minutes
Python Data Mining Quick Start Guide
Python Data Mining Quick Start Guide
Read more
This book is an introduction to data mining and its practical demonstration of working with real-world data sets. With this book, you will be able to extract useful insights using common Python libraries. You will also learn key stages like data loading, cleaning, analysis, visualization to build an efficient data mining pipeline.
Read more
Apr 2019 6 hours 16 minutes
Applied Unsupervised Learning with R
Applied Unsupervised Learning with R
Read more
Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and all features of R that enable you to understand your data better and get answers to all your business questions.
Read more
Mar 2019 10 hours 40 minutes
Training Systems using Python Statistical Modeling
Training Systems using Python Statistical Modeling
Read more
This book will acquaint you with various aspects of statistical analysis in Python. You will work with different types of prediction models, such as decision trees, random forests and neural networks. By the end of this book, you will be confident in using various Python packages to train your own models for effective machine learning.
Read more
May 2019 9 hours 40 minutes
Statistical Application Development with R and Python
Statistical Application Development with R and Python
Read more
Statistical Analysis involves collecting and examining data to describe the nature of data that needs to be analyzed. It helps you explore the relation of data and build models to make better decisions. You will begin with a brief understanding of the nature of data and end with modern and advanced statistical models like CART. Every step is taken with DATA and R code, and further enhanced by Python. By the end of this book you will be able to apply your statistical learning in major domains at work or in your projects.
Read more
Aug 2017 14 hours 24 minutes
MATLAB for Machine Learning
MATLAB for Machine Learning
Read more
MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will build a foundation for machine learning using MATLAB for beginners. It will also help you learn regression, clustering, classification, predictive analytics, artificial neural networks, and more with MATLAB.
Read more
Aug 2017 12 hours 44 minutes
Mastering Machine Learning with R
Mastering Machine Learning with R
Read more
Machine learning is the field of Artificial Intelligence where we build systems that learn from data. Given the growing prominence of R—a cross-platform, zero-cost statistical programming environment—there has never been a better time to start applying machine learning to your data. This book will teach you advanced techniques in machine learning with the latest code in R 3.3.2.
Read more
Apr 2017 14 hours 0 minutes
Practical Predictive Analytics
Practical Predictive Analytics
Read more
This book teaches six specific steps needed to implement predictive analytics using R. It also teaches how team collaboration is critical and how it increases the chances of implementing a successful model. The book uses cases from healthcare, marketing, and government to build practical skills. Big Data is also covered, in this book, which will extend your skill sets by learning Databricks and RSpark.
Read more
Jun 2017 19 hours 12 minutes
Right arrow icon

Personalised recommendations for you

Based on your interests and search pattern
Left arrow icon
Et al.
Et al.
Read more
Ever wonder why speech recognition systems don't understand the Scottish accent, or what would happen if an astronaut only ate mac 'n' cheese, or other spurious reflections you'd have at a bar? We did, then collated those deliberations into absurd research articles with fake figures and methodologies inspired by even more fictionally absurd studies.
Read more
Aug 2023 7 hours 40 minutes
Generative AI with LangChain
Generative AI with LangChain
Read more
This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.
Read more
Dec 2023 12 hours 0 minutes
Generative AI with LangChain
Generative AI with LangChain
Read more
This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.
Read more
Dec 2023 12 hours 0 minutes
Generative AI with LangChain
Generative AI with LangChain
Read more
This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.
Read more
Dec 2023 12 hours 0 minutes
Generative AI with LangChain
Generative AI with LangChain
Read more
This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.
Read more
Dec 2023 12 hours 0 minutes
Mastering Tableau 2023
Mastering Tableau 2023
Read more
This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.
Read more
Aug 2023 22 hours 48 minutes
Building AI Applications with ChatGPT APIs
Building AI Applications with ChatGPT APIs
Read more
This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.
Read more
Sep 2023 8 hours 36 minutes
Building AI Applications with ChatGPT APIs
Building AI Applications with ChatGPT APIs
Read more
This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.
Read more
Sep 2023 8 hours 36 minutes
Data Engineering with AWS
Data Engineering with AWS
Read more
Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.
Read more
Oct 2023 21 hours 12 minutes
Modern Data Architecture on AWS
Modern Data Architecture on AWS
Read more
Every organization wants an agile, performant, and cost-effective data platform that meets all their current and future business needs. Purpose-built AWS analytics services and their features play a big part in building such a modern data platform. This book brings to you all the design and architectural patterns that’ll help you achieve this goal.
Read more
Aug 2023 14 hours 0 minutes
Practical Guide to Applied Conformal Prediction in Python
Practical Guide to Applied Conformal Prediction in Python
Read more
Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.
Read more
Dec 2023 8 hours 0 minutes
TinyML Cookbook
TinyML Cookbook
Read more
With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano microcontrollers.
Read more
Nov 2023 22 hours 8 minutes
Right arrow icon