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    Powerpoint Slides Powerpoint Slides Presentation Transcript

    • Improving Web-Based Survey Research Data Collection White, James, A., Carey, Lou M., & Dailey, Kathleen A. University of South Florida
    • Introduction
      • This paper describes the use of client-side JavaScript and server-side Perl to collect and process survey data over the world wide web.
      • Compared to HTML alone, these methods can result in:
      • Higher level of data validation
      • Easier, more error-free processing
    • Digital Divide Closes
      • Forrester research survey this month finds … Hispanic families more connected (47%) to the Internet than whites (43%), blacks (33%) not far behind … major gap … between rich and poor … being eliminated by $300 computers …
      • USA Today, April 26, 2000
    • Templates
      • All of the materials demonstrated in this session can be accessed at:
      • http://www.coedu.usf.edu/jwhite/survey1/
    • HTML with “MAILTO” Method
      • Turner & Turner (1998, 1999)
      • More easily implemented
      • No data validation
      • Potentially laborious hand processing to prepare data for analysis
    • With JavaScript
      • Data validation can be accomplished on the client before the data are ever submitted
      • Results in fewer lost data sets
    • With Perl
        • Data can be prepared for analysis automatically
        • Tedious, error-prone hand processing can be avoided
    • Requirements
      • Computer equipped with the hardware/connectivity to be a web server(cost=3-5 times a desktop)
      • Web server software w/ CGI capability (cost=free)
      • Perl interpreter software (cost = free)
      • Participants must have JavaScript-capable browser software such as Communicator or MSIE 4 (cost=free)
    • Requirements (cont.)
      • Technical expertise
        • Institutional tech support
        • Faculty/Graduate student collaborators in other programs
          • IT/Ed Tech
          • Computer Science/Engineering
          • MIS/Business
          • Medicine/Health Sciences
    • Comparison with Other Methods
      • These methods can be implemented, more easily in some cases, with other software
      • Those other methods tend to be more expensive, platform-specific, or have other limitations
      • The methods presented in this paper tend to be robust and generalizable across many platforms (Unix, WinTel, Macintosh)
    • General Limitations (of All Methods)
      • Normal ”growing pains” associated with a new technology
      • Possibly greater effort required to compel participants to submit data
      • Security/encryption to protect subjects
      • Upfront cost of software development