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Feasibility of using web surveys to collect time–activity data

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.

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References

  • Abraham K.G., Maitland A., Bianchi S.M. Nonresponse in the American time use survey - Who is missing from the data and how much does it matter? Public Opin Quart 2006: 70: 676–703.

    Article  Google Scholar 

  • Biemer P.P., Groves R.M., Lyberg L.E., Mathiowetz N.A., Sudman S. (eds.) Data collection methods and measurement error: an overview. Measurement Errors in Surveys. Wiley, New York, 2004.

    Chapter  Google Scholar 

  • Chang L., Krosnick J.A. National surveys via Rdd telephone interviewing versus the internet. Public Opin Quart 2009: 73: 641–678.

    Article  Google Scholar 

  • Clinton J.D. Panel bias from attrition and conditioning: a case study of the Knowledge Networks panel. Unpublished manuscript. Stanford University: Palo Alto, CA, 2001.

  • Couper M.P. Web surveys: a review of issues and approaches. Public Opin Quart 2000: 64: 464–494.

    Article  CAS  Google Scholar 

  • Craig L., Mullan K. Parenthood, gender and work-family time in the United States, Australia, Italy, France, and Denmark. J Marriage Fam 2010: 72: 1344–1361.

    Article  Google Scholar 

  • Echols S.L., Macintosh D.L., Hammerstrom K.A., Ryan P.B. Temporal variability of microenvironmental time budgets in Maryland. J Expo Anal Env Epid 1999: 9: 502–512.

    Article  CAS  Google Scholar 

  • Elgethun K., Fenske R.A., Yost M.G., Palcisko G.J. Time-location analysis for exposure assessment studies of children using a novel global positioning system instrument. Environ Health Perspect 2003: 111: 115–122.

    Article  Google Scholar 

  • Freeman N.C.G., Lioy P.J., Pellizzari E., Zelon H., Thomas K., Clayton A., Quackenboss J. Responses to the region 5 NHEXAS time/activity diary. J Expo Anal Env Epid 1999: 9: 414–426.

    Article  CAS  Google Scholar 

  • Fricker S., Galesic M., Tourangeau R., Yan T. An experimental comparison of web and telephone surveys. Public Opin Quart 2005: 69: 370–392.

    Article  Google Scholar 

  • Graham S.E., McCurdy T. Developing meaningful cohorts for human exposure models. J Expo Anal Env Epid 2004: 14: 23–43.

    Article  Google Scholar 

  • Hertz-Picciotto I., Cassady D.L., Lee K., Bennett D.H., Ritz B., Vogt R. Study of use of products and exposure-related behaviors (SUPERB): study design, methods, and preliminary results. Environ Health 2010: 9: 54.

    Article  Google Scholar 

  • Juster F.T., Ono H., Stafford F.P. An assessment of alternative measures of time use. Sociol Methodol 2003: 33: 19–54.

    Article  Google Scholar 

  • Kan M.Y., Pudney S. Measurement error in stylised and diary data on Time Use. ISER Working Paper 2007.

  • Kiecker P., Nelson J. Do interviewers follow telephone survey instructions? J Market Res Soc 1996: 38: 161–176.

    Article  Google Scholar 

  • Klepeis N.E., Nelson W.C., Ott W.R., Robinson J.P., Tsang A.M., Switzer P., Behar J.V., Hern S.C., Engelmann W.H. The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants. J Expo Anal Env Epid 2001: 11: 231–252.

    Article  CAS  Google Scholar 

  • Leech J.A., Nelson W.C., Burnett R.T., Aaron S., Raizenne M.E. It's about time: a comparison of Canadian and American time-activity patterns. J Expo Anal Environ Epidemiol 2002: 12: 427–432.

    Article  Google Scholar 

  • Nethery E., Brauer M., Janssen P. Time-activity patterns of pregnant women and changes during the course of pregnancy. J Expo Sci Environ Epidemiol 2009: 19: 317–324.

    Article  Google Scholar 

  • Robinson J.P., Martin S. Changes in American daily life: 1965–2005. Soc Indic Res 2009: 93: 47–56.

    Article  Google Scholar 

  • Schonlau M., Zapert K., Simon L.P., Sanstad K.H., Marcus S.M., Adams J., Spranca M., Kan H., Turner R., Berry S.H. A comparison between responses from a Propensity-Weighted Web Survey and an Identical RDD Survey. Soc Sci Comp Rev 2004: 22: 128–138.

    Article  Google Scholar 

  • Schwab M., Mcdermott A., Spengler J.D. Using longitudinal data to understand childrens activity patterns in an exposure context - data from the Kanawha County Health Study. Environ Int 1992: 18: 173–189.

    Article  CAS  Google Scholar 

  • Schweizer C., Edwards R.D., Bayer-Oglesby L., Gauderman W.J., Ilacqua V., Jantunen M.J., Lai H.K., Nieuwenhuijsen M., Kunzli N. Indoor time-microenvironment-activity patterns in seven regions of Europe. J Expo Sci Env Epid 2007: 17: 170–181.

    Article  CAS  Google Scholar 

  • Vazquez-Prokopec G.M., Stoddard S.T., Paz-Soldan V., Morrison A.C., Elder J.P., Kochel T.J., Scott T.W., Kitron U. Usefulness of commercially available GPS data-loggers for tracking human movement and exposure to dengue virus. Int J Health Geogr 2009: 8: 68.

    Article  Google Scholar 

  • Wiehe S.E., Carroll A.E., Liu G.C., Haberkorn K.L., Hoch S.C., Wilson J.S., Fortenberry J.D. Using GPS-enabled cell phones to track the travel patterns of adolescents. Int J Health Geogr 2008: 7: 22.

    Article  Google Scholar 

  • Wiley J.A., Robinson J.P., Cheng Y., Piazza T., Stork L., Plasden K. Study of children's activity patterns. California Environmental Protection Agency, Air Resources Board Research Division, Sacramento, CA, 1991.

    Google Scholar 

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Acknowledgements

The project was supported by United States Environmental Protection Agency (grant# RD-83154001-0). We thank all of our participants for their participation. Special thanks to Linda Bresnick, Chris Collier, and Joshua Frost, and all the SUPERB staff.

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Correspondence to Deborah H Bennett.

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The authors declare no conflict of interest.

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Supplementary Information accompanies the paper on the Journal of Exposure Analysis and Environmental Epidemiology website

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Wu, X., Bennett, D., Lee, K. et al. Feasibility of using web surveys to collect time–activity data. J Expo Sci Environ Epidemiol 22, 116–125 (2012). https://doi.org/10.1038/jes.2011.23

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