• Presentation

Mode Effects in "Data Collection Platforms for Integrated Longitudinal Exposure Studies": Impact on Data Quality and Burden

Citation

Weger, S. A., & Kilpatrick, G. L. (2008, May). Mode Effects in #8220;Data Collection Platforms for Integrated Longitudinal Exposure Studies#8221;: Impact on Data Quality and Burden. Presented at IFD&TC 2008, New Orleans, LA.

Abstract

Funded by the U.S. Environmental Protection Agency’s STAR grant, Data Collection Platforms for Integrated Longitudinal Exposure Studies (PFILES) is a project that aims to develop low-burden methods for collecting multiple data types including daily time, activity, location, and energy-expenditure (TALE) data consistent with EPA’s Consolidated Human Activities Database (CHAD); dietary data to support pesticide exposure assessments; and observations on use of three types of consumer products – pesticides, household cleaning products, and personal care products. The challenge is to collect comprehensive, accurate, and integrated survey, physical, and physiological data while minimizing participant burden. For the PFILES Pilot Study, four data collection modes – paper diaries, PPC-based forms and menus, wireless voice, and photo diaries – were developed and fielded locally with 40 volunteer sample members. Sample members were assigned to one of eight experimental treatments, each of which utilized a unique combination of modes to collect daily TALE data, as well as information regarding diet and use of consumer products. Additionally, passive monitoring devices captured periodic heart rate readings, GPS location, microenvironment location, and product use events.This presentation focuses on TALE data collection with emphasis on the impact of mode on the quality of the data collected during the Pilot Study. We will provide an overview of each of the four data collection modes and will evaluate quality by examining the number and type of events recorded, completeness of entries, and comparison of active monitoring events to passive monitoring data. Respondent and analyst burden also will be discussed. Finally, we will review the pros and cons of each mode, and will provide anecdotal results based on participant debriefings.