Mobile Applications for Behavioral Research: Designs and Data Collection

CCH/HSRC Methods Seminar – UCLA-Semel Institute Center for Community Health – UCLA-Semel Institute Health Services Research Center





Mobile Applications for Behavioral Research

Designs and Data Collection

Presented by

Nithya Ramanathan, Ph.D.

Assistant Research Professor, UCLA Department of Computer Science; Co-Founder, Nexleaf Analytics; CHIPTS Methods Core

Dallas Swendeman, Ph.D.

Assistant Professor-in-Residence, UCLA Department of Psychiatry and Biobehavioral Sciences; Core Scientist, CHIPTS Methods Core; Core Scientist, CHIPTS Development Core

Abstract: Self-management of risk behaviors is a cornerstone of future population health. Using mobile phones for routine self-monitoring is a cost-efficient strategy for self-management.  Despite benefits, new challenges are also introduced.  Costs, logistics, and appropriateness of mobile phones for the intended population need to be considered.  Daily reports that are common to mobile data collection versus retrospective self-reports that are common to traditional studies offer new opportunities to provide participant feedback and model behavior patterns.  At the same time, new challenges are introduced in data management, presentation, user uptake, and analysis.  In the first presentation, we will cover mobile phone-based study design scenarios and issues.  The second presentation will cover analytic strategies to examine participant preferences using conjoint analysis around this new technology and time-series analyses to model daily reports.