바로가기메뉴

본문 바로가기 주메뉴 바로가기

A Study on the Application of Latent Growth Model for Measuring the Outcomes of Library

Journal of the Korean Society for Library and Information Science / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2018, v.52 no.4, pp.179-194
https://doi.org/10.4275/KSLIS.2018.52.4.179



  • Downloaded
  • Viewed

Abstract

The purpose of this study is to discuss the application of the Latent Growth Model to measure the outcomes of public library. For outcome measurements, library circulation data were collected to identify longitudinal changes of library users’ reading habit. The latent growth model was applied to statistically test the changes over time. The circulation data of 95,962 users registered in some public libraries in Seoul, ranged between 2010 and 2015, were analyzed using unconditional model, conditional model, and growth mixture model which all are called the latent growth model. The results show that the intercept of the model is 4.19 and the slop is 0.24 in the linear growth model. The gender difference in two latent variables including intercept and slop was a shade difference. The result from the growth mixture model analysis, additionally indicates that the number of books checked out by children under age 10 is rapidly increased. The application of the latent growth model in library fields is expected to widely spread out for the longitudinal data analysis.

keywords
도서관 성과, 대출, 종단 자료, 잠재성장모형, 무조건모형, 조건모형, 성장혼합모형, Library Outcomes, Circulation, Longitudinal Data, Latent Growth Model, Unconditional Model, Conditional Model, Mixture Growth Model

Reference

1.

김수영. 2017. 구조방정식 모형의 기본과 확장: MPLUS 예제와 함께. 서울: 학지사.

2.

문화체육관광부. 국가도서관통계시스템. 2018. [online] [cited 2018. 11. 27.]<http://www.libsta.go.kr>

3.

신택수. 2014. 인간발달연구에서의 종단자료 분석: 잠재성장모형을 중심으로. 인간발달연구, 21(3), 1-28.

4.

Hu, L. T. and Bentler, P. M. 1999. Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria versus New Alternatives. Structural Equation Modeling: a Multidisciplinary Journal, 6(1), 1-55.

5.

Kuhlthau, C. C. 1988. Longitudinal Case Studies of the Information Search Process of Users in Libraries. Library and Information Science Research, 10(3), 257-304.

6.

McDonald, J. D. 2008. Measuring Personality Constructs: The Advantages and Disadvantages of Self-reports, Informant Reports and Behavioural Assessments. Enquire, 1(1), 1-18.

7.

Mischel, W. 2013. Personality and Assessment. New York: Psychology Press.

8.

Ployhart, R. E. and Vandenberg, R. J. 2010. Longitudinal Research: The Theory, Design, and Analysis of Change. Journal of Management, 36(1), 94-120.

9.

Singer, J. D. and Willett, J. B. 2003. Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford: Oxford University Press.

10.

Willett, J. B. 1989. Some Results on Reliability for the Longitudinal Measurement of Change:Implications for the Design of Studies of Individual Growth. Educational and Psychological Measurement, 49(3), 587-602.

Journal of the Korean Society for Library and Information Science