 Binary logistic
regression
 This term is used in SPSS for
regression analysis using the log odds of a
dichotomous variable.
 Others refer to the method as
dichotomous logistic regression.
 Multinomial logistic
regression
 SPSS uses this term for regression
analysis using a polychotomous variable.
 Other refer to it as
polychotomous logistic regression.
 SPSS says
 Multinomial Logistic Regression
is useful for situations in which you want to be
able to classify subjects based on values of a set
of predictor variables. This type of regression is
similar to logistic regression, but it is more
general because the dependent variable is not
restricted to two categories.
 Discriminant Analysis
 This term usually embraces both
the case of dichotomous and polychotomous dependent
variables.
 That is the practice in SPSS,
which offers discriminant analysis as an option
under Classify.
 Discriminant analysis approaches
the classification of cases in two or more groups as a
problem in multiple analysis of variance of
differences between and within group
means.
Figure from Marasculio and Levin,
Multivriate Statistics in the Social Sciences (1983),
p. 269, showing Fisher's discriminant function: a linear
combination of two variables that maximizes the distances
between the center of two populations.
