LOGISTIC REGRESSION v GUI

[Peter Spangler]

For predicting a dichotomous or multiple-level variable using continuous and categorical variables, is CONTRAST (VAR)=Indicator required when using a SELECT function?

I too am working with various categorical and continuous variables in logistic regression and curious to transition out of the GUI. Does the LOGISTIC REGRESSION syntax create a preferred view, does it save time with dummy variables? Where is a good place to start.

[Bruce Weaver]

Perhaps you'll find something useful here:

  http://www.ats.ucla.edu/stat/spss/examples/alr2/default.htm
  http://www.ats.ucla.edu/stat/spss/examples/cama4/default.htm -- Chapter 12
  http://www.ats.ucla.edu/stat/spss/examples/ara/default.htm -- Chapter 15
  http://www.ats.ucla.edu/stat/examples/chp/default.htm -- Chapter 12

Peter Spangler wrote

For predicting a dichotomous or multiple-level variable using continuous
and categorical variables, is CONTRAST (VAR)=Indicator required when using
a SELECT function?

I too am working with various categorical and continuous variables in
logistic regression and curious to transition out of the GUI. Does the
LOGISTIC REGRESSION syntax create a preferred view, does it save time with
dummy variables? Where is a good place to start.