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

Summary

You will find the techniques covered in this chapter valuable not only initially when working with a new set of data, but throughout the analytic journey as patterns are investigated and further exploration of the results is undertaken.

Understanding the structure of the data in detail is critical before moving on to more sophisticated analytical methods as they often characterize the relationship found into a handful of summary statistics. The diagnostics accompanying these statistics provide a means of assessing how well they capture the patterns, but appreciating in advance where issues are likely to be present helps focus the examination of the results.

The next chapter will expand on the topic of outliers touched on here and address the issue of missing values. Both of these situations occur regularly when dealing with real data and there are several approaches that...