Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Data Collection Methodologies for Web-Based Experiments

Data Collection Methodologies for Web-Based Experiments
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Author(s): Stu Westin (University of Rhode Island, USA)
Copyright: 2005
Pages: 5
Source title: Encyclopedia of Information Science and Technology, First Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-553-5.ch119


View Data Collection Methodologies for Web-Based Experiments on the publisher's website for pricing and purchasing information.


Experimental studies involving the use of the World Wide Web (WWW) are becoming increasingly common in disciplines such as management information systems (MIS), marketing, and e-commerce. The focus of these studies is varied and may involve issues of human factors and interface design (Otto et al., 2000; Koufaris, 2002; Liang & Lai, 2002; Palmer, 2002), issues of information processing and search strategies (Spence, 1999; Johnson et al., 2000; Xia & Sudharshan, 2000; Chiang et al., 2004), issues of vendor trustworthiness (Grazioli & Jarvenpaa, 2000; Jarvenpaa et al., 2000; Norberg, 2003), or a myriad of other topics. Regardless of the issue being studied, data collection for online Web research often proves to be a vexing problem, and ideal research designs are frequently sacrificed in the interest of finding a reasonable data capture mechanism. In this article, we discuss some of the methodological complexities that arise when conducting Web-based experiments. We then describe an innovative, software-based methodology that addresses these problems.

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