support@essaywritingexpert.orgScenario A. A researcher wants to study the impact of different incentive structures on employee productivity. Employees in sales group 1 are assigned to receive a monetary bonus, sales group 2 is assigned extra vacation days, and sales group 3 is given public recognition for meeting productivity goals over 3 months.
1.What is the independent variable in scenario A?
The company
The researchers
Employee productivity
The employees
The incentive structure
2.How many levels are there for this IV?
1
3
2
4
3. What type of IV best describes the IV in Scenario A? Explain your reasoning and why you think this type best describes this IV.
4. What is the DV in scenario A?
The company
The incentive structure
Employee productivity
The employees
The researchers
5. Provide an operational definition for the dependent variable in scenario A. Some important information that needs to be included in your operational definition includes:
- What is the operational definition of your dv (how do you define it)?
- How will you record or measure the dv?
6. What is the confound for Scenario A (You may list more than one, but you must give at least one!).
7.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. A tech company wants to assess whether using dark mode or light mode on devices affects eye strain. Participants are randomly assigned to use their devices in dark mode or light mode for 4 weeks and then their eye strain is measured.
8. What is the independent variable in scenario B?
The participants
The color setting on their phone (dark mode vs light mode)
The type of phone they are using
The 4 week time period
The researchers
Eye strain
9. How many levels does this IV have?
3
2
1
4
10. What type of IV best describes the IV in Scenario B?
Participant
Stimulus
Experience
Physiological
11. What is the dependent variable in Scenario B?
The 4 week time period
Eye strain
The participants
The type of phone they are using
The color setting on their phone (light mode vs dark mode)
12. Provide an operational definition for the dependent variable in scenario B. Some important information that needs to be included in your operational definition includes:
- What is the operational definition of your dv (how do you define it)?
- How will you record or measure the dv?
13.What is the confound for Scenario B (you may list more than one, but you must give at least one!).
14.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. A researcher wants to study how age influences the effectiveness of memory training programs. Participants are divided into three age groups: young adults (18-30), middle-aged adults (31-50), and older adults (51-70). All participants undergo the same memory training program for 8 weeks.
15.What is the independent variable in Scenario C?
Group of answer choices
Memory ability
The age of the participants
The researchers
The memory training program
16.How many levels does this IV have?
Group of answer choices
4
1
3
2
17.What type of IV best describes this IV?
Group of answer choices
Experience
Physiological
Participant
Stimulus
18. What is the DV for Scenario C?
Group of answer choices
The age of the participants
The memory training program
Memory ability
The researchers
19.Provide an operational definition for the dependent variable in scenario C. 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?
20.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.
21.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.