Scenario A. A professor wants to improve attendance in her class and wants to test out a new flexible attendance policy to see if it improves attendance. She decides to implement the new flexible attendance policy in her Tuesday Introductory Psychology section and compares attendance to her Friday Introductory Psychology section, where she does not implement the new policy. She expects that attendance will increase in the class with the new policy. 

1-What type of independent variable is the IV in scenario A? Explain why you think the IV is that type of IV. 

2-Provide an operational definition for the dependent variable in this study. Some important information that needs to be included in your operational definition includes:

what is the dv (how do you define it)?

how will you record or measure the dv?

3-What is the confound for Scenario A (You may list more than one, but you must give at least one!). 

4-How could the confound be fixed for Scenario A? 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. 

Scenario B. Researchers want to study whether the type of light emitted from your smartphone can impact sleep quality. She randomly assigns participants to use a dim light setting in the evening, a blue light filter setting (which filters out blue spectrum light from the phone) in the evenings, or to use the regular full brightness on their phone in the evenings and then compares their sleep quality after 3 weeks. 

1-What type of independent variable is the IV in scenario B? Explain why you think the IV is that type of IV.

2-Provide an operational definition for the dependent variable in this study. Some important information that needs to be included in your operational definition includes:

“what is the dv (how do you define it)?” 

“how will you measure the dv?”  

3-What is the confound for Scenario B (you may list more than one, but you must give at least one!)

.4-How could the confound be fixed for Scenario B? 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. 

Scenario C. An ad for a new energy drink powder claims to improve endurance during a workout when taken with a full glass of water. The company decides to test this claim so that they can strengthen their advertisements. The company recruits a sample of participants from their social media pages and assigns them to either receive a 30 day supply of the new drink or to receive nothing. After 30 days, she follows up with the participants and asks them to report on the improvement in their endurance during workouts. 

1-What type of independent variable is the IV in scenario C? Explain why you think the IV is that type of IV. 

2-Provide an operational definition for the dependent variable in this study. Some important information that needs to be included in your operational definition includes:

what is the dv (how do you define it)?

how will you measure or record the dv?

3-What is the confound for Scenario C (you may list more than one, but you must give at least one!). 

4-How could the confound be fixed in Scenario C? 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. 

https://annas-archive.org/md5/45daa75cddfce2365f1d6f5a444f13ce