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Geographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions.

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  • Author(s): Mennis J;Mennis J; Mason M; Mason M; Coffman DL; Coffman DL; Henry K; Henry K
  • Source:
    International journal of environmental research and public health [Int J Environ Res Public Health] 2018 Dec 04; Vol. 15 (12). Date of Electronic Publication: 2018 Dec 04.
  • Publication Type:
    Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601 (Electronic) Linking ISSN: 16604601 NLM ISO Abbreviation: Int J Environ Res Public Health Subsets: MEDLINE
    • Publication Information:
      Original Publication: Basel : MDPI, c2004-
    • Subject Terms:
    • Abstract:
      This 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.
    • Grant Information:
      R01 DA031724 United States DA NIDA NIH HHS; R01 CA229542 United States CA NCI NIH HHS
    • Contributed Indexing:
      Keywords: EMA*; activity space*; ecological momentary assessment*; geographic imputation*; imputation*; missing data*; spatial data*
    • Publication Date:
      Date Created: 20181207 Date Completed: 20190218 Latest Revision: 20190618
    • Publication Date:
      20200827
    • Accession Number:
      PMC6313622
    • Accession Number:
      10.3390/ijerph15122740
    • Accession Number:
      30518164
  • Citations
    • ABNT:
      MENNIS, J. et al. Geographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions. International journal of environmental research and public health, [s. l.], v. 15, n. 12, 2018. DOI 10.3390/ijerph15122740. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdc&AN=30518164. Acesso em: 21 set. 2020.
    • AMA:
      Mennis J, Mason M, Coffman DL, Henry K. Geographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions. International journal of environmental research and public health. 2018;15(12). doi:10.3390/ijerph15122740
    • APA:
      Mennis, J., Mason, M., Coffman, D. L., & Henry, K. (2018). Geographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions. International Journal of Environmental Research and Public Health, 15(12). https://doi.org/10.3390/ijerph15122740
    • Chicago/Turabian: Author-Date:
      Mennis, Jeremy, Michael Mason, Donna L Coffman, and Kevin Henry. 2018. “Geographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions.” International Journal of Environmental Research and Public Health 15 (12). doi:10.3390/ijerph15122740.
    • Harvard:
      Mennis, J. et al. (2018) ‘Geographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions’, International journal of environmental research and public health, 15(12). doi: 10.3390/ijerph15122740.
    • Harvard: Australian:
      Mennis, J, Mason, M, Coffman, DL & Henry, K 2018, ‘Geographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions’, International journal of environmental research and public health, vol. 15, no. 12, viewed 21 September 2020, .
    • MLA:
      Mennis, Jeremy, et al. “Geographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions.” International Journal of Environmental Research and Public Health, vol. 15, no. 12, Dec. 2018. EBSCOhost, doi:10.3390/ijerph15122740.
    • Chicago/Turabian: Humanities:
      Mennis, Jeremy, Michael Mason, Donna L Coffman, and Kevin Henry. “Geographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions.” International Journal of Environmental Research and Public Health 15, no. 12 (December 4, 2018). doi:10.3390/ijerph15122740.
    • Vancouver/ICMJE:
      Mennis J, Mason M, Coffman DL, Henry K. Geographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions. International journal of environmental research and public health [Internet]. 2018 Dec 4 [cited 2020 Sep 21];15(12). Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdc&AN=30518164