Long-term Compliance Habits: What Early Data Tells Us

04/11/2018
by   Louis Faust, et al.
0

The rise in popularity of physical activity trackers provides extensive opportunities for research on personal health, however, barriers such as compliance attrition can lead to substantial losses in data. As such, insights into student's compliance habits could support researcher's decisions when designing long-term studies. In this paper, we examined 392 students on a college campus currently two and a half years into an ongoing study. We find that compliance data from as early as one month correlated with student's likelihood of dropping out of the study (p < .001) and compliance long-term (p < .001). The findings in this paper identify long-term compliance habits and the viability of their early detection.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/19/2018

Now you see me: evaluating performance in long-term visual tracking

We propose a new long-term tracking performance evaluation methodology a...
research
04/05/2021

Managing Research the Wiki Way: A Systematic Approach to Documenting Research

As a master's student, knowing how to manage your personal research is n...
research
03/11/2021

Extracting candidate factors affecting long-term trends of student abilities across subjects

Long-term student achievement data provide useful information to formula...
research
01/26/2018

21 Million Opportunities: A 19 Facility Investigation of Factors Affecting Hand Hygiene Compliance via Linear Predictive Models

This large-scale study, consisting of 21.3 million hand hygiene opportun...
research
12/27/2019

Comparative Analysis of Predictive Methods for Early Assessment of Compliance with Continuous Positive Airway Pressure Therapy

Patients suffering from obstructive sleep apnea are mainly treated with ...
research
02/11/2021

A GeoSPARQL Compliance Benchmark

We propose a series of tests that check for the compliance of RDF triple...
research
06/13/2019

Early Detection of Long Term Evaluation Criteria in Online Controlled Experiments

A common dilemma encountered by many upon implementing an optimization m...

Please sign up or login with your details

Forgot password? Click here to reset