Title: Data and information quality of the web: do perceptions predict performance?

Authors: M. Pamela Neely; Anne Matheus; William Neely

Addresses: The College at Brockport, SUNY 350 New Campus Drive, Brockport, NY 14420, USA ' Marist College, 3399 North Rd., Poughkeepsie, NY 12601, USA ' New Life Solution, Inc., Marist College, 4 1st Street, APT 8306, Salem, MA 01970, USA

Abstract: Given the breadth and depth of the web, data and information quality (DIQ) has not been extensively studied and when it has been studied it has primarily been in relation to product or service satisfaction. In this article we look at the relationship between perceptions of DIQ and the performance on a task-based simulation. Subjects are asked to answer five questions found on a typical college exam, using a single website as a resource rather than a textbook. They are then asked their perceptions of the DIQ of their chosen site. Results show that perceptions of DIQ are much higher than actual performance would indicate. If students are going to use web resources rather than textbooks in the future, changes need to be made.

Keywords: information quality; web quality; SEQ modelling; confirmatory factor analysis; CFA; data quality; internet accuracy; successful web use; task-based performance; student perceptions; DIQ; simulation; college exams; single websites; textbooks; web resources; higher education.

DOI: 10.1504/IJIQ.2014.068684

International Journal of Information Quality, 2014 Vol.3 No.4, pp.340 - 360

Received: 05 Aug 2013
Accepted: 05 Jun 2014

Published online: 17 Apr 2015 *

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