Book description
Master the simplest data management operations to the advanced data analysis techniques with IBM SPSS Statistics 24
About This Book
Leverage the power of IBM SPSS Statistics to perform efficient statistical analysis of your data
Choose the right statistical technique to analyze different types of data and build efficient models from your data with ease
Overcome any hurdle that you might come across while learning the different SPSS Statistics concepts with clear instructions, tips and tricks
Who This Book Is For
This book is designed for analysts and researchers who need to work with data to discover meaningful patterns but do not have the time (or inclination) to become programmers. We assume a foundational understanding of statistics such as one would learn in a basic course or two on statistical techniques and methods
What You Will Learn
Install and set up SPSS to create a working environment for analytics
Techniques for exploring data visually and statistically, assessing data quality and addressing issues related to missing data
How to import different kinds of data and work with it
Organize data for analytical purposes (create new data elements, sampling, weighting, subsetting, and restructure your data)
Discover basic relationships among data elements (bivariate data patterns, differences in means, correlations)
Explore multivariate relationships
Leverage the offerings to draw accurate insights from your research, and benefit your decisionmaking
In Detail
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
 Preface
 Installing and Configuring SPSS

Accessing and Organizing Data
 Accessing and organizing data overview
 Reading Excel files
 Reading delimited text data files
 Saving IBM SPSS Statistics files
 Reading IBM SPSS Statistics files
 Demo  first look at the data  frequencies

Variable properties
 Variable properties  name
 Variable properties  type
 Variable properties  width
 Variable properties  decimals
 Variable properties  label
 Variable properties  values
 Variable properties  missing
 Variable properties  columns
 Variable properties  align
 Variable properties  measure
 Variable properties  role
 Demo  adding variable properties to the Variable View
 Demo  adding variable properties via syntax
 Demo  defining variable properties
 Summary
 Statistics for Individual Data Elements
 Dealing with Missing Data and Outliers
 Visually Exploring the Data
 Sampling, Subsetting, and Weighting
 Creating New Data Elements
 Adding and Matching Files
 Aggregating and Restructuring Data
 Crosstabulation Patterns for Categorical Data
 Comparing Means and ANOVA
 Correlations
 Linear Regression
 Principal Components and Factor Analysis
 Clustering
 Discriminant Analysis
Product information
 Title: Data Analysis with IBM SPSS Statistics
 Author(s):
 Release date: November 2017
 Publisher(s): Packt Publishing
 ISBN: 9781787283817
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