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

Post hoc comparisons

One of the features that makes one-way ANOVA a valuable procedure is the option to include post hoc multiple comparisons using a variety of statistical tests. These multiple comparisons make it possible to find the groups that differ from each other, and those that form homogenous subsets within a larger pool of groups.

The post hoc dialog shown in the following figure has 14 choices associated with equal variances, and four for unequal variances. You can choose several and compare the results to check their agreement in terms of the differences they find significant. In this example, the Scheffe, Tukey, Dunnett, and Tamhane's T2 tests are selected. By default, the Dunnett-test uses the last group of the independent factor as the control category, but you can change this using the dropdown:

The Help option for one-way ANOVA is a quick way to get more...