Scenario D. A researcher wants to study whether having to take a 4 hour driving safety course after you receive a traffic ticket can improve how safely a person drives. She compares a group of people who have received traffic tickets in Florida and who chose take a 4 hour driving safety course to a group of drivers who received a traffic ticket and opted to not take the course. She then measures whether they got a second traffic ticket within the next 6 months. What is the confound for Scen
Scenario D. A researcher wants to study whether having to take a 4 hour driving safety course after you receive a traffic ticket can improve how safely a person drives. She compares a group of people who have received traffic tickets in Florida and who chose take a 4 hour driving safety course to a group of drivers who received a traffic ticket and opted to not take the course. She then measures whether they got a second traffic ticket within the next 6 months.
What is the confound for Scenario D (you may list more than one, but you must give at least one!).
How could the confound be fixed in Scenario D? Be sure to tell me what technique you are using (constancy, repeated measures, randomization, elimination, or balancing), as well as how you would apply that technique to this specific scenario, and how that would fix this confound.?
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