Could someone please clarify for me the difference in how interaction and main effects terms should be interpreted in ANOVA and regression? I understand that in regression, the coefficients for the various terms are qualified i.e. if an interaction term is included, the coefficients of lower order terms are conditional effects. Therefore, the interaction term has to be removed in order to interpret the 'main effects' of lower order terms.
But what about the output from ANOVA. If interaction terms are included, can the significance values associated with the lower order terms be interpreted as 'main effects' of those terms? Or, like in the case of regression, does the interaction term have to be removed to be able to observe main effects of lower order terms?