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Author Question: If a researcher notices that several measures are highly correlated, what could be done to reduce ... (Read 43 times)

NguyenJ

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on: Jun 22, 2018
If a researcher notices that several measures are highly correlated, what could be done to reduce risk of Type I error?
 
  a) Combine dependent measures.
  b) Run multiple analyses.
  c) Use the Bonferroni adjustment.
  d) Increase the alpha.

Question 2

What increases with running multiple tests?
 
  a) Type I error
  b) Type II error
  c) Error bars
  d) Construct validity


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amanda_14

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Reply #1 on: Jun 22, 2018
Answer to Question 1

Correct Answer: a

Answer to Question 2

Correct Answer: a


NguyenJ

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Reply 2 on: Jun 22, 2018
Thanks for the timely response, appreciate it

aliotak

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Reply 3 on: Yesterday
Great answer, keep it coming :)

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