The reason we should ignore significant main effects after ...

[oliviahorn72]

The reason we should ignore significant main effects after finding a significant interaction for a
  factorial ANOVA is
 
  A) interactions are more interesting to researchers
  B) main effects are only valid for designs with one IV
  C) the main effect(s) is/are contained within the interaction
  D) the interaction uses up the available degrees of freedom

Question 2

When a researcher reduces the chances of making a Type I error, he or she then increases the
  chances of
 
  A) using an invalid alpha level B) making a Type II error
  C) finding external validity D) detecting extraneous variables

[234sdffa]

Answer to Question 1

C

Answer to Question 2

B

[oliviahorn72]

Thank you

[234sdffa]

No problem