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April 14, 2015 by Gary Price

New Preprint: “A Two-Step Model for Assessing Relative Interest in E-books Compared to Print”

April 14, 2015 by Gary Price

The following approved for publication preprint was recently made available on the College & Research Libraries website and is schedule for publication date in the January 2016 issue of the journal.

Full Title

A Two-Step Model for Assessing Relative Interest in E-books Compared to Print
Authors
Steven A. Knowlton
University of Memphis

Source

College & Research Libraries
Anticipated Publication Date: January 2016
Accepted for Publication: March 2015

Abstract

Librarians often wish to know whether readers in a particular discipline favor e-books or print books. Because print circulation and e-book usage statistics are not directly comparable, it can be hard to determine the relative interest of readers in the two types of books.
This study demonstrates a two-step method by which librarians can assess the appeal of books in various formats. First, a nominal assessment of use or non-use is performed; this eliminates the difficulty of comparing print circulation to e-book usage statistics. Then, the comparison of actual use to Percentage of Expected Use (PEU) is made. By examining the distance between PEU of e-books to PEU of print books in a discipline, librarians can determine whether patrons have a strong preference for one format over another.

Direct to Full Text (30 pages; PDF)

Filed under: Academic Libraries, Libraries, Patrons and Users, Public Libraries, Reports

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About Gary Price

Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.

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