COVARIANCE BASED-SEM ON RELATIONSHIP BETWEEN DIGITAL LITERACY, USE OF E-RESOURCES, AND READING CULTURE OF STUDENTS

Authors

  • Reny Rian Marliana STMIK Sumedang, Indonesia
  • Leni Nurhayati STMIK Sumedang, Indonesia

DOI:

https://doi.org/10.29244/ijsa.v4i1.552

Keywords:

cb-sem, digital literacy, use of e-resources, reading culture, covariance based

Abstract

In this paper, a relationship model among latent variables using Covariance Based-Structural Equation Modeling (CB-SEM) is studied. The latent variables are digital literacy, use of e-resources and reading culture of students. The goal of the study is to build a simultaneously model between those three variables, determine the influence of digital literacy on the use of e-resources and reading culture of students, and the influence of the use of e-resources on reading culture of students. The parameters of the model are estimated by the Maximum Likelihood method. This study took data from 256 questionnaires of students at STMIK Sumedang. Results showed that digital literacy significantly influences the use of e-resources and the reading culture of students. In contrast, there are no significant influences on the use of e-resources on the reading culture of the student.

Downloads

Download data is not yet available.

References

Abubakar, D. (2015). Influence of Computer Literacy on Postgraduates ’ Use of E-Resources in Nigerian University Libraries. Library Philosophy and Practice, 1-17.

Adeleke, D. S., Ivo, K., & Nwalo, N. (2017). Availability , Use and Constraints to Use of Electronic Information Resources by Postgraduates Students at the University of Ibadan. International Journal of Knowledge Content & Technology, 7(4): 51–69.

Ajayi, S. A. (2014). The Influence of Electronic Resources Use on Students’ Reading Culture in Nigerian Universities : A Case Study of Adeleke University EDE, Osun State, 1182.

Akpokodje, V. N., & Ukwuoma, S. C. (2016). Evaluating the impact of eBook on reading motivation of students of higher learning in Nigerian Universities. Columbus IFLA WLIC, 1–15.

Akussah, M., & Adu-sarkodee, R. (2015). Impact of Electronic Resources and Usage in Academic Libraries in Ghana : Evidence from Koforidua Polytechnic & All Nations University College , Ghana. Journal of Education and Practice, 6(33): 33–38.

Ani, O. E., Ngulube, P., & Onyancha, B. (2015). Perceived Effect of Accessibility and Utilization of Electronic Resources on Productivity of Academic Staff in Selected Nigerian Universities. https://doi.org/10.1177/2158244015607582.

Bala, S. (2016). Usage of Electronic Resources and Their Impact on Reading Culture : A Case Study of Punjab Agricultural University, Ludhiana. International Journal of Digital Library Services, 6(3): 59–66.

Egberongbe, H. S. (2011). The Use and Impact of Electronic Resources at the University of Lagos The Use and Impact of Electronic Resources at the University of Lagos. Library Philosophy and Practice, 472.

Hair, J. F., Black, W. C., Barbin, B. J., & Anderson, R. E. (2014). Multivariate Data Analysis : Pearson New International Edition (Seventh Ed). Harlow (UK): Pearson Education Limited.

Hair, J. F., M.Hult, G. T., M.Ringle, C., & Sarstedt, M. (2014). Partial Least Squares Structural Equation Modeling (PLS-SEM) (Vicki Knight, Ed.). US: SAGE Publications, Inc.

Hoyle, R. H. (2012). Structural Equation Modeling. New York (US): The Guilford Press.

Imsong, L. (2016). Usage of Electronic- Resources in Academic Libraries and Role. 10th Convention PLANNER 2016: 31–35.

Jr, J. F. H., Hopkins, L., Georgia, M., & College, S. (2014). Partial Least Squares Structural Equation Modeling ( PLS-SEM ) An Emerging Tool in Business Research. European Business Review, 26(2): 106–121.

Kline, R. B. (2016). Principles and Practice of Structural Equation Modeling (Fourth; T. D.Little, Ed.). New York (UK): The Guilford Press.

Kock, N. (2018). From composites to factors : Bridging the gap between PLS and covariance †based structural equation modelling. Info System J., 29(3): 674–706. https://doi.org/10.1111/isj.12228.

Kurniasih, N. (2016). Reading Habit in Digital Era : Indonesian People do not Like Reading , is it. Web Culture Forum’Site, 1–3.

Kurniawati, J., & Baroroh, S. (2016). Literasi Media Digital Mahasiswa Universitas Muhammadiyah Bengkulu. Jurnal Komunikator, 8(2): 51–66.

Madondo, T., Sithole, N., & Chisita, C. T. (2017). Use of Electronic Information Resources by Undergraduate Students in the Faculty of Management and Administration at. Asian Research Journal of Arts & Social Sciences, 2(2): 1–12. https://doi.org/10.9734/ARJASS/2017/29633.

Nasrullah, R., Aditya, W., Satya, T. I., Nento, M. N. N. H., Miftahussuri, & Akbari, Q. S. (2017). Literasi Digital , Gerakan Literasi Nasional (Dr. L. A. Mayani, Ed.). Jakarta (ID): Kementrian Pendidikan dan Kebudayaan.

Noreh, A. (2009). Impact of Electronic Resources on Academic and Research Programs of the University. In Library and Information Research. University of Nairobi.

Nurjanah, E., Rusmana, A., & Yanto, A. (2017a). Hubungan Literasi Digital Dengan Kualitas Penggunaan E-Resources. Lentera Pustaka, 3(2): 117–140.

Nurjanah, E., Rusmana, A., & Yanto, A. (2017b). Hubungan literasi digital dengan kualitas penggunaan e-resources. Lentera Pustaka: Jurnal Kajian Ilmu Perpustakaan, Informasi Dan Kearsipan, 3(2): 117–140.

Periyeti. (2017). Usaha Meningkatkan Minat Baca Mahasiswa. Jurnal Pustaka Budaya, 4(1): 55–67.

Sapril. (2010). Budaya Membaca Masyarakat Kampus. Jurnal Iqra’, 4(01): 66–69.

Wong, K., & Wong, K. (2013). Partial Least Squares Structural Equation Modeling (PLS-SEM) Techniques using SmartPLS. Marketing Buletin, 24, Technical Note 1, 1–32. https://doi.org/10.1128/AEM.01914-13.

Yanti, M. (2016). Determinan Literasi Digital Mahasiswa : Kasus Universitas Sriwijaya. Buletin Pos Dan Telekomunikasi, 14(2): 79–94. https://doi.org/10.17933/bpostel.2016.140202.

Downloads

Published

2020-02-28

How to Cite

Marliana, R. R., & Nurhayati, L. (2020). COVARIANCE BASED-SEM ON RELATIONSHIP BETWEEN DIGITAL LITERACY, USE OF E-RESOURCES, AND READING CULTURE OF STUDENTS. Indonesian Journal of Statistics and Its Applications, 4(1), 55–67. https://doi.org/10.29244/ijsa.v4i1.552

Issue

Section

Articles