Author Question: If the state of Utah were to use an interrupted time-series design to study the effects of raising ... (Read 23 times)

sjones · **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.