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

Assumptions underlying discriminant analysis

When using discriminant analysis, you make the following assumptions:

  • Independence of the observations. This rules out correlated data such as multilevel data, repeated measures data, or matched pairs data.
  • Multivariate normality within groups. Strictly speaking, the presence of any categorical inputs can make this assumption untenable. Nonetheless, discriminant analysis can be robust to violations of this assumption.
  • Homogeneity of covariances across groups. You can assess this assumption using the Box's M test.
  • Absence of perfect multicollinearity. A given input cannot be perfectly predicted by a combination of other inputs also in the model.
  • The number of cases within each group must be larger than the number of input variables.
IBM SPSS Statistics gives you statistical and graphical tools to assess the normality assumption...