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strategy for interpreting significant interactions

Dear Jo,

In case that at most one variable in an interaction is continuous, you
can give *some* interpretation on the main effects and lower order
interactions. But you have to be very carefull on the interpretation.
Suppose you have two factors: Var1 with levels A, B and C. Var2 with
levels x, y and z. Then below you have the interpretation of the
parameters from the model Var1*Var2

Intercept = level Ax
Var1:B = level Bx
Var1:C = level Cx
Var2:y = level Ay
Var2:z = level Az
Var1:Var2:B:y = level By
Var1:Var2:C:y = level Cy
...

Note that the 'main effects' does not yield the marginal effect of a
level, but the effect conditional on the reference level of the other
variables.

HTH,

Thierry

------------------------------------------------------------------------
----
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek
team Biometrie & Kwaliteitszorg
Gaverstraat 4
9500 Geraardsbergen
Belgium

Research Institute for Nature and Forest
team Biometrics & Quality Assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium

tel. + 32 54/436 185
Thierry.Onkelinx at inbo.be
www.inbo.be

To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to
say what the experiment died of.
~ Sir Ronald Aylmer Fisher

The plural of anecdote is not data.
~ Roger Brinner

The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of
data.
~ John Tukey
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