In using an interrupted time series for single-case experiments, ...

[mpobi80]

In using an interrupted time series for single-case experiments, you must assume
 
  a. that the pattern of pretreatment behavior would have continued if the treatment had not occurred.
  b. that the treatment is effective and look for the evidence in the patterns until you find it.
  c. that the participant will be highly motivated.
  d. that the principles of learning are not correct.

Question 2

Suppose you perform an experiment that compares the performance of an experimental group and a control group. You find that the mean of the experimental group is higher than the mean of the control group.
 
  Does this prove that the treatment enhanced performance?
 
 a. Yes, because the experimental group did better as a whole than the control group
  b. No, because you must compare variances, not means
   c. No, because the difference between the group could have occurred by chance, even if it was not very likely (i.e., less than .05)
  d. Yes, because group averages are the traditional measure to use to compare two groups

[Kingjoffery]

Answer to Question 1

A

Answer to Question 2

C