Dear Clarify users,
I have a question. Is there a way with CLARIFY to calculate the impact of a change in the
LEVEL of an explanatory variable (X) on the LEVEL of the dependent variable(Y)?
With OLS, the way to do it is simply to make the following calculation:
Delta Y = b Delta X, where b is the unstandardized regression coefficient (Achen 1982).
With logistic regression, the above formula is inappropriate. Possible solutions are:
(1) To use weighted least-squares or generalized least-squares (Finkel, JoP, 1993: 8). In
this case, the regression coefficient can be used directly to estimate the impact of a
change in the LEVEL of X on the change in the LEVEL of Y.
(2) To use the (quite demanding) approach proposed by Denk and Finkel in the 1992 AJPS
piece.
Could Clarify perform a similar estimation with logistic regressions?
Many thanks for your help,
Thomas Didier
McGill University
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