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

Split File

Split File splits the active dataset into subgroups that can be analyzed separately. Note that the file stays intact. The subgroups are sets of adjacent cases in the file that have the same values for the split variable or variables.

In order for Split File to work correctly, cases must be sorted by the values of the split variable or variables. Split File can be an efficient alternative to the repeated invocation of Select If when you are interested in repeating the same analysis in each level of a split variable.

As an example, we will contrast the running of Descriptives on several numeric variables without and with Split File in effect. As the splitting variable, we will use VOTE12, which indicates whether or not the respondent voted in the 2012 US Presidential Election.

First, here are Descriptive Statistics for several numeric variables from the small GSS2016...