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http://dx.doi.org/10.14699/kbiblia.2014.25.3.191

A Study on Performance and Prediction Factors in College and University Libraries using Statistical Analyses  

Kim, Giyeong (연세대학교 문헌정보학과)
Choi, Yoonhee (연세대학교 문헌정보학과)
Kang, Jaeyeon (연세대학교 문헌정보학과)
Go, Pyeongjin (연세대학교 문헌정보학과)
Publication Information
Journal of the Korean BIBLIA Society for library and Information Science / v.25, no.3, 2014 , pp. 191-214 More about this Journal
Abstract
The goal of this study is an exploratory statistical analysis of the university and college library statistics in the Academic Information Statistics System(rinfo.kr) governed of Korean Education and Research Information Service(KERIS) with performance measures based on sustainability. For the goal, we adopt a preprocessing method to develop change-rate variables by considering preceding predictive elements and succeeding performance elements, and to control external factors, such as size and socioeconomic factors. Then we execute a series of factor analyses and multiple linear regression analyses. 13 factors are extracted by the factor analyses and some sets of significant variables affecting the performance measures are identified through the regression analyses. Based on the results, we discuss the problem of out-lier and low correlation between variables. A suggestion for developing new variables is also discussed based on low effect sizes of the developed regression models. We hope that this study contributes to diffuse discussions on statistics system, evaluation, and further library management based on sustainability.
Keywords
University and College Library Statistics; Sustainability; Resource-based Performance; External Factor Control; Out-lier; Performance-based Statistics;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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