Abstract

The purpose of this study is to determine whether hidden categories of academic libraries exist based on collections, circulations, and expenditures per student. This study utilizes k-means clustering analysis to identify categories of academic libraries based on three variables: number of library resources per enrolled students, library circulation per enrolled student, and library expenditures per enrolled student. Four distinct clusters are identified: high circulation per student, high expenditures per student, large collections per student, and standard circulation, expenditures, and collections. Attributes of these clusters of libraries (institution type, university endowment, year established) are explored. These findings indicate new means of classifying libraries based on funding and use statistics as opposed to characteristics of the institution of higher education which the library serves.

抽象的

这项研究的目的是根据馆藏，发行量和每名学生的支出来确定是否存在隐藏的大学图书馆类别。这项研究利用k均值聚类分析，基于三个变量来确定大学图书馆的类别：每个在校学生的图书馆资源数量，每个在校学生的图书馆发行量和每个在校学生的图书馆支出。确定了四个不同的类别：每个学生的高流通量，每个学生的高支出，每个学生的大量收藏品以及标准的流通，支出和收藏品。探索了这些图书馆集群的属性（机构类型，大学捐赠基金，成立年份）。