Author Question: An interrupted time-series design is particularly useful when A) there are no issues of causality ... (Read 17 times)

mp14

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An interrupted time-series design is particularly useful when
 
  A) there are no issues of causality to be addressed.
  B) the presumed causal event occurs to only some members of a population.
  C) the presumed causal event occurs to all members of a population.
  D) the research is concerned with attempting to predict aggressive behavior in children.

Question 2

Two potentially confounding factors in the interrupted time-series design are
 
  A) maturation and testing effects.
  B) regression to the mean and selection.
  C) history and instrumentation.
  D) maturation and regression to the mean.



tsternbergh47

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Answer to Question 1

Answer: C

Answer to Question 2

Answer: C



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