The spatial accuracy of geographic ecological momentary assessment (GEMA): Error and bias due to subject and environmental characteristics

Jeremy Mennis, Michael Mason, Andreea Ambrus, Thomas Way, Kevin Henry

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Background Geographic ecological momentary assessment (GEMA) combines ecological momentary assessment (EMA) with global positioning systems (GPS) and geographic information systems (GIS). This study evaluates the spatial accuracy of GEMA location data and bias due to subject and environmental data characteristics. Methods Using data for 72 subjects enrolled in a study of urban adolescent substance use, we compared the GPS-based location of EMA responses in which the subject indicated they were at home to the geocoded home address. We calculated the percentage of EMA locations within a sixteenth, eighth, quarter, and half miles from the home, and the percentage within the same tract and block group as the home. We investigated if the accuracy measures were associated with subject demographics, substance use, and emotional dysregulation, as well as environmental characteristics of the home neighborhood. Results Half of all subjects had more than 88% of their EMA locations within a half mile, 72% within a quarter mile, 55% within an eighth mile, 50% within a sixteenth of a mile, 83% in the correct tract, and 71% in the correct block group. There were no significant associations with subject or environmental characteristics. Conclusions Results support the use of GEMA for analyzing subjects’ exposures to urban environments. Researchers should be aware of the issue of spatial accuracy inherent in GEMA, and interpret results accordingly. Understanding spatial accuracy is particularly relevant for the development of ‘ecological momentary interventions’ (EMI), which may depend on accurate location information, though issues of privacy protection remain a concern.

Original languageEnglish
Pages (from-to)188-193
Number of pages6
JournalDrug and Alcohol Dependence
Volume178
DOIs
StatePublished - Sep 1 2017
Externally publishedYes

Keywords

  • Accuracy
  • Data quality
  • EMA
  • Ecological momentary assessment
  • Ecology
  • Environment
  • Location
  • Neighborhood

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