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

  • Journal of the Korean Biblia Society for Library and Information Science
  • 2014, 25(3), pp.191-214
  • DOI : 10.14699/kbiblia.2014.25.3.191
  • Publisher : Journal Of The Korean Biblia Society For Library And Information Science
  • Research Area : Interdisciplinary Studies > Library and Information Science

GIYEONG KIM 1 최윤희 1 Jaeyeon Kang 1 고평진 2

1연세대학교
2연세대학교 문헌정보학과

Accredited

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 Informarion 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.

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