Field
Abstract
|
Before
The proposed study investigates how technology-assisted behavioral interventions can help individuals improve their sleep habits in order to improve educational outcomes. In prior work, we find that incentives for meeting sleep goals increase sleep and also find suggestive evidence that the incentives improve academic performance. Building on these findings, we will test the impact of the following interventions among undergraduates: (1) Technology only and (2) Technology and Incentives. The Technology intervention aims to lower the costs of shifting and sustaining habits, including the costs of tracking sleep and remembering to go to bed on time. Through wearable technology (Fitbits) and a custom smartphone app, we will provide participants with reminders to go to bed and immediate feedback about sleep duration. The Technology and Incentives intervention aims to develop habits building on cue/reward models of habit formation. The Technology intervention will provide the cue to go to bed on time and sleep adequately; we will combine this with an associated reward (either Financial or Non-Financial) provided immediately each morning for meeting sleep goals. We will measure the impact of the interventions on sleep habits and academic performance.
|
After
The proposed study investigates how technology-assisted behavioral interventions can help individuals improve their sleep habits in order to improve educational outcomes and health.
|
Field
Last Published
|
Before
August 14, 2018 10:03 PM
|
After
March 01, 2019 03:02 PM
|
Field
Intervention (Public)
|
Before
|
After
We will test the impact of reminders, feedback, financial incentives and non-financial incentives.
|
Field
Primary Outcomes (End Points)
|
Before
We will measure the impact of the interventions on sleep habits and academic performance.
|
After
We will measure the impact of the interventions on sleep habits, academic performance and health.
|
Field
Experimental Design (Public)
|
Before
we will test the impact of the following interventions among 3,000 undergraduates: (1) Technology only and (2) Technology and Incentives. The Technology intervention aims to lower the costs of shifting and sustaining habits, including the costs of tracking sleep and remembering to go to bed on time. Through wearable technology (Fitbits) and a custom smartphone app, we will provide participants with reminders to go to bed and immediate feedback about sleep duration. The Technology and Incentives intervention aims to develop habits building on cue/reward models of habit formation. The Technology intervention will provide the cue to go to bed on time and sleep adequately; we will combine this with an associated reward (either Financial or Non-Financial) provided immediately each morning for meeting sleep goals.
|
After
We will test the impact of reminders, feedback, financial incentives and non-financial incentives.
|
Field
Planned Number of Clusters
|
Before
3,000 participants
|
After
2100
|
Field
Planned Number of Observations
|
Before
3,000 participants
|
After
2100
|
Field
Sample size (or number of clusters) by treatment arms
|
Before
600-900 per treatment arm
|
After
Control n=600
Non-Financial Incentives: n=600
Financial Incentives: n=600
Delayed Financial Incentives: n=100
Delayed Financial Incentives, no reminders and feedback: n=100
Reminders and Feedback: n=100
|
Field
Power calculation: Minimum Detectable Effect Size for Main Outcomes
|
Before
|
After
MDES for each incentive treatment: 0.16
MDES for pooled incentive treatments: 0.14
|
Field
Secondary Outcomes (End Points)
|
Before
Physical and mental health
|
After
|