The Importance of Identifying and Accommodating E-Resource Usage Data for the Presence of Outliers. The Negative Impacts of Inaccurate E-Journal Usage Data.

Alain R. Lamothe

Abstract


This article presents the results of a quantitative analysis examining the effects of abnormal and extreme values on e-journal usage statistics. Detailed are the step-by-step procedures designed specifically to identify and remove these values, termed outliers. By greatly deviating from other values in a sample, outliers distort and contaminate that data. Between 2010 and 2011, e-journal usage at the J.N. Desmarais Library spiked as a result of illegal downloading. The identification and removal of outliers had a noticeable effect on e-journal usage levels. They represented over 100,000 erroneous articles downloaded in 2010 and nearly 200,000 erroneous downloading in 2011.


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DOI: http://dx.doi.org/10.6017/ital.v33i2.5341

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License URL: http://creativecommons.org/licenses/by/3.0/

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ISSN:2163-5226

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