A tech company has made a new app to help improve sleep hygiene. Sleep hygiene is the extent to which you have a good, healthy sleep routine--the goal of the app is to optimize the user's sleep schedule and set them up for sleep success by encouraging them to remove distracting things in their environment, minimizing light exposure prior to sleep, and helping them find their own personal best sleep routine. The tech company gives the app to a select group of college students living in the dorms on campus and compares their sleep quality to their roommate's sleep quality, who did not get the app. They find that there is no difference in sleep quality between the students who used the app and the students who did not and conclude that the app does not work. How could the confound be fixed for this Scenario? 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.

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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A tech company has made a new app to help improve sleep hygiene. Sleep hygiene is the extent to which you have a good, healthy sleep routine--the goal of the app is to optimize the user's sleep schedule and set them up for sleep success by encouraging them to remove distracting things in their environment, minimizing light exposure prior to sleep, and helping them find their own personal best sleep routine. The tech company gives the app to a select group of college students living in the dorms on campus and compares their sleep quality to their roommate's sleep quality, who did not get the app. They find that there is no difference in sleep quality between the students who used the app and the students who did not and conclude that the app does not work.

How could the confound be fixed for this Scenario? 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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