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Author Question: The reason we should ignore significant main effects after finding a significant interaction for a ... (Read 171 times)

oliviahorn72

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on: Jun 20, 2018
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


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234sdffa

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Reply #1 on: Jun 20, 2018
Answer to Question 1

C

Answer to Question 2

B


oliviahorn72

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Reply #2 on: Jun 20, 2018
Thank you


234sdffa

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Reply #3 on: Jun 20, 2018
No problem :)


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