[R-sig-ME] interactions lmer continuous and categorical fixed factor

[Lotte Schoot]

Hi,

I am using the lmer function in lme4 to test a model like this:

DV ~ factor1 * factor2 (simplified for purposes of illustration, so 
without random effects structure)

DV = continuous (Reaction time)
factor1 = continuous
factor2 = categorical (3 levels)

summary(model) will give me output like this:

factor2-level1 * Factor1 = xxx
factor2-level2 * Factor1 = xxx
factor2-level3 * Factor1 = xxx

If I try to get p-values for this model, however, I only get one p-value 
for the interaction factor2 * factor 1.

What do you recommend to report in this case?
p-values with corresponding F-values and df, or the t-values found in 
summary(model), without any p-values?

Thanks in advance,
Lotte