Library and Information Science

Library and Information Science ISSN: 2435-8495
三田図書館・情報学会 Mita Society for Library and Information Science
〒108‒8345 東京都港区三田2‒15‒45 慶應義塾大学文学部図書館・情報学専攻内 c/o Keio University, 2-15-45 Mita, Minato-ku, Tokyo 108-8345, Japan
Library and Information Science 86: 19-41 (2021)

原著論文Original Article

公共図書館における貸出関数の可用性の再検証A Re-examination of the Availability of the Function Predicting Book Circulation in Public Libraries

1同志社大学免許資格課程センターCenter for License and Qualification, Doshisha University ◇ 京都府京都市上京区今出川通烏丸東入 ◇ Imadegawa-dori Karasuma Higashi-iru, Kamigyo-ku, Kyoto-shi, Kyoto-fu

2同志社大学文学部Faculty of Letters, Doshisha University

3同志社大学免許資格課程センターCenter for License and Qualification, Doshisha University

受付日:2021年4月22日Received: April 22, 2021
受理日:2021年10月12日Accepted: October 12, 2021
発行日:2021年12月30日Published: December 30, 2021




Purpose: Although several studies have been conducted in the past on the function predicting book circulation in Japanese public libraries, the issue has not been studied actively in recent years. The purpose of this study is to re-examine the suitability of a linear regression model to predict the number of book circulations in public libraries per community.

Methods: A similar model to that used in the previous studies was adopted. The dependent variable is book circulation per capita in each community. Independent variables can be divided into two groups of factors: factors related to the library, including the volume of the library collection; and community factors, including population density. There are three groups of target communities: (1) the communities targeted in previous studies, (2) all communities in Japan, and (3) cities divided into eight regions. The objective of analysis of target (1) is to verify whether it is still possible to develop a highly accurate model in the regions covered by the previous studies. The objectives in targets (2) and (3) are to verify whether we can develop the same in other regions.

Results: It was possible to construct highly accurate models (adjusted R2 are 0.7 to 0.8) in the majority of regions covered in previous studies. However, it proved extremely difficult to construct the same when all communities in Japan were targeted. Furthermore, outside of the regions covered by the previous studies, it was not always possible to construct a highly accurate model simply by dividing communities into regions.

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