Jeff -
> The advantage of logistic regression, though, is that the assumptions
> aren't as strict as are those of discriminant analysis (e.g., the
> predictors need not be normally distributed or have equal variances in
> each group).
I'm fascinated. Can you give some kind of overview of how it (l.r.) works?
I see that according to SPSS, "The general loglinear model is used to
identify and measure the relationships among a set of categorical variables,
none of which is singled out as a dependent variable", while "The Logit
Loglinear Analysis examines the relationship between categorical dependent
variables and categorical independent variables". I assume that means that
the situation Karen described calls for Logit.
Can I assume that running Logit with one categorical dependent variable and
one categorical independent variable essentially reduces to a Chi-squared
test of independence?
Paul Smith
Alverno College
Milwaukee
