Feasibility of using web surveys to collect time–activity data View Full Text


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Article Info

DATE

2012-03

AUTHORS

Xiangmei Wu, Deborah H Bennett, Kiyoung Lee, Diana L Cassady, Beate Ritz, Irva Hertz-Picciotto

ABSTRACT

Time-activity data are traditionally collected by telephone interviews or through paper diaries, which are time consuming and costly. As a potential alternative that may greatly save staff time, a web survey to collect time-activity data was developed and tested in this study. We collected 24-h recall web diaries from 151 parents of young children mostly under 55 years of age (who also answered for their children) and 55 older adults (≥ 55 years of age) both on a weekday and a weekend day every 3 months during an 18-month period. The performance and reliability of the web surveys collected were evaluated, including the survey-completion rate, and the percentage of surveys with unreasonable time being reported as spent sleeping and with missing reports of being in transit between locations. We also compared the web-survey data with time-activity information we collected from the same subjects in telephone interviews and found that these data sources were fairly consistent with each other. However, we observed slightly more compliance issues for the web than the telephone survey, but most of these issues could be addressed and minimized by refining some questions or the survey interface. Our study suggests that it is critical to reduce participants' burden and improve survey interface design for optimal compliance and data quality. In conclusion, web surveys are a promising method to consider for time-activity data collection. More... »

PAGES

116

References to SciGraph publications

  • 2009-03. Time–activity patterns of pregnant women and changes during the course of pregnancy in JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY
  • 2010-12. Study of Use of Products and Exposure-Related Behaviors (SUPERB): study design, methods, and demographic characteristics of cohorts in ENVIRONMENTAL HEALTH
  • 2007-03. Indoor time–microenvironment–activity patterns in seven regions of Europe in JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY
  • 2009-12. Usefulness of commercially available GPS data-loggers for tracking human movement and exposure to dengue virus in INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS
  • 2002-11. It's about time: A comparison of Canadian and American time–activity patterns† in JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY
  • 2001-07. The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants in JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY
  • 1999-10. Responses to the Region 5 NHEXAS time/activity diary in JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY
  • 2009-08. Changes in American Daily Life: 1965–2005 in SOCIAL INDICATORS RESEARCH
  • 1999-10. Temporal variability of microenvironmental time budgets in Maryland in JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY
  • 2008-12. Using GPS-enabled cell phones to track the travel patterns of adolescents in INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS
  • 2004-01. Developing meaningful cohorts for human exposure models in JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/jes.2011.23

    DOI

    http://dx.doi.org/10.1038/jes.2011.23

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1011793427

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/21792233


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    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/jes.2011.23'

    RDF/XML is a standard XML format for linked data.

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