Open AccessUsing Logistic Regression to Examine Multiple Factors Related to E-book Use
Author(s) -
Karen Kohn
Publication year - 2018
Publication title -
library resources and technical services
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.342
H-Index - 24
eISSN - 2159-9610
pISSN - 0024-2527
DOI - 10.5860/lrts.62n2.54
Subject(s) - logistic regression , odds , class (philosophy) , computer science , regression analysis , statistics , sociology , library science , mathematics , artificial intelligence
Many studies have tried to identify factors that make electronic books (e-books) in academic libraries more likely to be used. For instance, are demand-driven acquisitions used more than titles in packages? Are e-books in the sciences used more than e-books on art? Most of these studies are limited to one or two variables. This study introduces logistic regression, which can incorporate multiple variables to determine which factors are the most useful in predicting e-book usage. The variables considered in this study are LC class, university press or other publisher, and platform. In the collection studied, the classes with the highest odds of being used were A (General Works), followed by F (History of the Americas), H (Social Sciences), and Q (Math and Science).