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dc.creatorMennis, Jeremy
dc.creatorMason, Michael J.
dc.creatorCoffman, Donna L.
dc.creatorHenry, Kevin
dc.date.accessioned2020-04-25T15:45:04Z
dc.date.available2020-04-25T15:45:04Z
dc.date.issued2018-12-04
dc.identifier.citationMennis, J.; Mason, M.; Coffman, D.L.; Henry, K. Geographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions. Int. J. Environ. Res. Public Health 2018, 15, 2740.
dc.identifier.issn1660-4601
dc.identifier.doihttp://dx.doi.org/10.34944/dspace/146
dc.identifier.urihttp://hdl.handle.net/20.500.12613/159
dc.description.abstractThis research presents a pilot study to develop and compare methods of geographic imputation for estimating the location of missing activity space data collected using geographic ecological momentary assessment (GEMA). As a demonstration, we use data from a previously published analysis of the effect of neighborhood disadvantage, captured at the U.S. Census Bureau tract level, on momentary psychological stress among a sample of 137 urban adolescents. We investigate the impact of listwise deletion on model results and test two geographic imputation techniques adapted for activity space data from hot deck and centroid imputation approaches. Our results indicate that listwise deletion can bias estimates of place effects on health, and that these impacts are mitigated by the use of geographic imputation, particularly regarding inflation of the standard errors. These geographic imputation techniques may be extended in future research by incorporating approaches from the non-spatial imputation literature as well as from conventional geographic imputation and spatial interpolation research that focus on non-activity space data.
dc.format.extent15 pages
dc.languageEnglish
dc.language.isoeng
dc.relation.ispartofFaculty/ Researcher Works
dc.relation.haspartInternational Journal of Environmental Research and Public Health, Vol. 15, Issue 12
dc.relation.isreferencedbyMDPI
dc.rightsAttribution CC BY
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectMissing data
dc.subjectSpatial data
dc.subjectImputation
dc.subjectGeographic imputation
dc.subjectActivity space
dc.subjectEcological momentary assessment
dc.subjectEMA
dc.titleGeographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions
dc.typeText
dc.type.genreJournal article
dc.description.departmentGeography and Urban Studies
dc.description.departmentEpidemiology and Biostatistics
dc.relation.doihttps://doi.org/10.3390/ijerph15122740
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.schoolcollegeTemple University. College of Liberal Arts
dc.creator.orcid0000-0001-6319-8622
dc.creator.orcid0000-0002-5348-9669
dc.temple.creatorMennis, Jeremy
dc.temple.creatorCoffman, Donna L.
dc.temple.creatorHenry, Kevin
refterms.dateFOA2020-04-25T15:45:04Z


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