Hi all,
if you want to test for first difference in an interaction model
(logistic regression) of the following sort: y=a+b1x1+b2x2+b3x1x3 where
both x1 and x2 are dummy variables you would normally write:
simqi , prval(1) fd(prval(1)) changex(x1 0 1). Right?
but would the program than know for itself that when x1==0 the
interaction effect x1x2 is also 0? can one take a significant difference
to be indicative or does the model not make any sense? or is there an
alternative command for this situation?
Thanks in advance,
a sociologist
--
Oshrat Hochman, PhD
Department of Sociology and Anthropology
Tel Aviv University
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Hi all,
if you want to test for first difference in an interaction model
(logistic regression) of the following sort: y=a+b1x1+b2x2+b3x1x3 where
both x1 and x2 are dummy variables you would normally write: simqi ,
prval(1) fd(prval(1)) changex(x1 0 1). Right? but would the program than
know for itself that when x1==0 the interaction effect x1x2 is also 0?
can one take a significant difference to be indicative or does the model
not make any sense? or is there an alternative command for this situation?
Thanks in advance,
a sociologist