1. What is an interrupted time-series design? What are the advantages of the interrupted time series with a non-equivalent no-treatment comparison group design over the simple interrupted time-series design?
2. What would be real-life phenomena where conducting an experiment would be the best way to assess if the independent variable causes the dependent variable; that is, explains the phenomenon?
3. Who are the subjects in the study? To what populations do these subjects belong?
4. How were the subjects selected? Was a random selection method used?
5. How will the subjects be randomly assigned? Will they be matched (e.g., measured on a particular variable at pre-test and then assigned to their conditions on the basis of their score on that variable)? How?