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Author Question: If the state of Utah were to use an interrupted time-series design to study the effects of raising ... (Read 16 times)

sjones

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on: Aug 4, 2018
If the state of Utah were to use an interrupted time-series design to study the effects of raising its speed limit to 65 mph, what type of confounding variables might present a problem?
 
  A) Confounding due to selection and cohort effects.
  B) Confounding due to history and instrumentation.
  C) Confounding due to maturation and testing.
  D) Confounding due to regression to the mean

Question 2

Interrupted time-series designs are particularly useful in all of the following situations EXCEPT
 
  A) large-scale studies.
  B) evaluating events that have already occurred.
  C) clinical and naturalistic settings.
  D) situations in which it is impossible to make more than one measurement.


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pallen55

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Reply #1 on: Aug 4, 2018
Answer to Question 1

Answer: B

Answer to Question 2

Answer: D


sjones

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Reply 2 on: Aug 4, 2018
Excellent

mjenn52

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Reply 3 on: Yesterday
Wow, this really help

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