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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

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.

What is the independent variable for Scenario B?

How many levels are there for the independent variable in Scenario B?

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

What is the dependent variable for Scenario B?

Provide an operational definition for thedependent variablein 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?"

What is the confound for Scenario B?

How could the confound be fixed for Scenario B?Be sure to tell mewhat technique you are using (constancy, repeated measures, randomization, elimination, or balancing), as well ashow you would apply that techniqueto this specific scenario, andhow that would fixthis confound.

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