My problem is this: I have one dependent variable and 4 independent ones: one is age and the other three are temperament dimensions. I did 3 sets of two-way ANOVAs. The first independent variable is always the same (age) and the second is always different - one of the tempeament dimensions. In one case I get that age has significant effecet, the temeprament1 does not, and no interaction. in other case I get that age doesn't have the significant effecet, but still no influence of temperament2, and no significant effect of interaction.
one-way ANOVA for age shows there is significant effect.
My question is how do I interpret the data? My plan was to say if there is effect of age and temperament and interaction of age and temeprament dimensions, but now - the effect of age is sometimes there, and sometimes not?!