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

The COMPUTE command

The COMPUTE command is the workhorse of the transformation capability within SPSS. It provides access to a very broad set of functions that allow one to create logical expressions of virtually any type.

The following figure shows the basic dialog for this command, including a partial list of the many functions you can use and the calculator section with logical operators available:

The MEAN function can be used to create a new field containing each customer's average across the six satisfaction questions included in the survey (refer to following screenshot). Any of the six questions that has a missing value for a row in the data is excluded from the calculation, and the denominator is automatically adjusted to reflect the number of variables used as the basis for the mean:

The syntax produced from the dialog box is shown next:

COMPUTE  meansat=MEAN...