User Guide

72
Chapter 7
Statistics. Observed and expected frequencies; raw, adjusted, and deviance residuals;
design matrix; parameter estimates; generalized log odds ratio; Wald statistic; and
confidence intervals. Plots: adjusted residuals, deviance residuals, and normal
probability plots.
Data. The dependent variables are categorical. Factors are categorical. Cell covariates can
be continuous, but when a covariate is in the model, SPSS applies the mean covariate
value for cases in a cell to that cell. Contrast variables are continuous. They are used to
compute generalized log odds ratios (GLOR). The values of the contrast variable are the
coefficients for the linear combination of the logs of the expected cell counts.
A cell structure variable assigns weights. For example, if some of the cells are structural
zeros, the cell structure variable has a value of either 0 or 1. Do not use a cell structure
variable to weight aggregate data. Instead, use Weight Cases on the Data menu.
Assumptions. The counts within each combination of categories of explanatory
variables are assumed to have a multinomial distribution. Under the multinomial
distribution assumption:
 The total sample size is fixed, or the analysis is conditional on the total sample size.
 The cell counts are not statistically independent.
Related procedures. Use the Crosstabs procedure to display the contingency tables. Use
the General Loglinear Analysis procedure when you want to analyze the relationship
between an observed count and a set of explanatory variables.