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Sociocognitive Inquiry

Sociocognitive Inquiry

Brian R. Gaines, Mildred L. G. Shaw
Copyright: © 2013 |Pages: 21
ISBN13: 9781466624559|ISBN10: 1466624558|EISBN13: 9781466624566
DOI: 10.4018/978-1-4666-2455-9.ch088
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MLA

Gaines, Brian R., and Mildred L. G. Shaw. "Sociocognitive Inquiry." Data Mining: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2013, pp. 1688-1708. https://doi.org/10.4018/978-1-4666-2455-9.ch088

APA

Gaines, B. R. & Shaw, M. L. (2013). Sociocognitive Inquiry. In I. Management Association (Ed.), Data Mining: Concepts, Methodologies, Tools, and Applications (pp. 1688-1708). IGI Global. https://doi.org/10.4018/978-1-4666-2455-9.ch088

Chicago

Gaines, Brian R., and Mildred L. G. Shaw. "Sociocognitive Inquiry." In Data Mining: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1688-1708. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2455-9.ch088

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Abstract

This chapter describes techniques for sociocognitive inquiry based on conceptual grid elicitation and analysis using web-based tools, such as WebGrid, which are designed to elicit conceptual models from those participating in a networked community. These techniques provide an interactive web-based experience with immediate payback from online graphic analysis, that provides an attractive alternative to, or component of, conventional web-based surveys. In particular, they support targeted follow-up studies based on passive data mining of the by-products of web-based community activities, allowing the phenomena modeled through data mining to be investigated in greater depth. The foundations in cognitive sociology and psychology are briefly surveyed, a case study is provided to illustrate how web-based conceptual modeling services can be customized to integrate with a social networking site and support a focused study, and the implications for future research are discussed.

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