The Knowledge, Attitudes, and Practices of Academic Librarians Toward Open Educational Resources: Developing and Validating the OpenEd-LibKAP Scale

Authors

DOI:

https://doi.org/10.18438/eblip30707

Abstract

Objective – The aims of the open education (OE) movement can be supported by academic librarians, although most librarians have not had formal training on open educational resources (OER). The objective of this study is to design and validate a survey instrument to measure the knowledge, attitudes, and practices (KAP) of academic librarians toward OER to be used in future research projects. 

Methods – The Open Education - Librarian Knowledge, Attitudes, and Practices (OpenEd-LibKAP) scale was developed by experienced academic librarians and assessed for content validity by OER subject experts. A pilot study was conducted to assess internal consistency, and a second round of the survey was administered to an international group of current academic librarians. Exploratory factor analysis (EFA) was performed on the results. 

Results – The final instrument includes 50 questions, with 22 items in the knowledge domain, 16 items in the attitude domain, and 12 items in the practices domain. The KAP factors positively correlate in an expected manner, with a range from .404 to .591. The individual domains have high markers of reliability, implying a degree of confidence in our findings and future uses of the tool. 

Conclusion – The OpenEd-LibKAP Scale developed through this study can be used by library administrators, OER program administrators, librarian researchers, and OER researchers to more accurately measure and assess academic librarian OER competencies, beliefs, and behaviours related to OER. 

Downloads

Download data is not yet available.

References

Andrade, C., Menon, V., Ameen, S., & Kumar Praharaj, S. (2020). Designing and conducting knowledge, attitude, and practice surveys in psychiatry: Practical guidance. Indian Journal of Psychological Medicine, 42(5), 478–481. https://doi.org/10.1177/0253717620946111

Barrett, P. T., & Kline, P. (1981). The observation to variable ratio in factor analysis. Personality Study & Group Behaviour, 1(1), 23–33. https://psycnet.apa.org/record/1982-20212-001

Bay View Analytics. (n.d.) Bay View Analytics publications. Retrieved January 12, 2025, from https://www.bayviewanalytics.com/publications.html

Boateng, G. O., Neilands, T. B., Frongillo, E. A., Melgar-Quinonez, H. R., & Young, S. L. (2018). Best practices for developing and validating scales for health, social, and behavioral research: A primer. Frontiers in Public Health, 6, 1–18. https://doi.org/10.3389/fpubh.2018.00149

Braddlee & VanScoy, A. (2019). Bridging the chasm: Faculty support roles for academic librarians in the adoption of open educational resources. College & Research Libraries, 80(4), 426. https://doi.org/10.5860/crl.80.4.426

Byrne, B. M. (2016). Structural equation modeling with AMOS: Basic concepts, applications, and programming (3rd ed.). Routledge.

Carpenter, S. (2018). Ten steps in scale development and reporting: A guide for researchers. Communication Methods and Measures, 12(1), 25–44. https://doi.org/10.1080/19312458.2017.1396583

Cattel, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1(2), 245–276.

Costello, A. B., & Osborne, J. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research, and Evaluation, 10(7), 1–9. https://doi.org/10.7275/jyj1-4868

de Winter, J., Dodou, D., & Wieringa, P. A. (2009). Exploratory factor analysis with small sample sizes. Multivariate Behavioral Research, 44(2), 147–181. https://doi.org/10.1080/00273170902794206

DeVellis, R. F. (2017). Scale development: Theory and applications. 4th ed. Sage.

Fabrigar, L. R., & Wegener, D. T. (2012). Factor analysis: Understanding statistics. Oxford Press.

Federer, L. (2018). Defining data librarianship: A survey of competencies, skills, and training. Journal of the Medical Library Association, 106(3), 294–303. https://doi.org/10.5195/jmla.2018.306

Field, A. (2013). Discovering statistics using IBM SPSSS statistics. 4th ed. Sage.

Glynn, T., & Wu, C. (2003). New roles and opportunities for academic library liaisons: A survey and recommendations. Reference Services Review, 31(2), 122–128. https://doi.org/10.1108/00907320310476594

Goharinezhad, S., Faraji, Z., & Jameie, B. (2012). Knowledge, attitude and practice (KAP) study of faculty members on Integrated Digital Library (IDL) in Tehran University of Medical Sciences. International Journal of Digital Library Services, 2(4), 51–62. http://www.ijodls.in/uploads/3/6/0/3/3603729/vol-2_issue-4_51-62.pdf

Henson, R. K., & Roberts, J. K. (2006). Use of exploratory factor analysis in published research: Common error and some comment on improved practice. Educational and Psychological Measurement, 66(3).

Hinkin, T. R. (1995). A review of scale development practices in the study of organizations. Journal of Management, 21(5), 967–988.

Johanson, G. A., & Brooks, G. P. (2010). Initial scale development: Sample size for pilot studies. Educational and Psychological Measures, 70(3), 394–400. https://doi.org/10.1177/0013164409355692

Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychology Measurement, 20, 141–151.

Kline, R. B. (2016). Principles and practice of structural equation modeling. 4th ed. Guilford Press.

Kolesnykova, T. O., & Matveyeva, O. V. (2021). First steps before the jump: Ukrainian university librarians survey about OER. University Library at a New Stage of Social Communications Development: Conference Proceedings, 6, 96–107. https://unilibnsd.ust.edu.ua/article/view/248379

Larson, A. (2020). Open education librarianship: A position description analysis of the newly emerging role in academic libraries. The International Journal of Open Educational Resources, 3(1). https://doi.org/10.18278/ijoer.3.1.4

Matingwina, T. (2014). Knowledge, attitudes and practices of University students on Web 2.0 tools: Implications for academic libraries in Zimbabwe. Zimbabwe Journal of Science and Technology, 9(1), 59–72.

Memon, M. A., Ting, H., Cheah, J.-H., Thurasamy, R., Chuah, F., & Cham, T. H. (2020). Sample size for survey research: Review and recommendations. Journal of Applied Structural Equation Modeling, 4(2), 1–20.

Nwaohiri, N. M. (2021). Open educational resources (OER) in Nigerian universities: Promotion and awareness opportunities for academic libraries for a path to higher education success. Library Philosophy and Practice, 5583. https://digitalcommons.unl.edu/libphilprac/5583/

Okamoto, K. (2013). Making higher education more affordable, one course reading at a time: Academic libraries as key advocates for open access textbooks and educational resources. Public Services Quarterly, 9(4), 267–283. https://doi.org/10.1080/15228959.2013.842397

Open Education Network. (n.d.). Open Education Librarianship Certificate. Retrieved on January 13, 2025, from https://open.umn.edu/oen/certificate-in-open-education-librarianship

Pett, M. A., Lackey, N. R., & Sullivan, J. J. (2003). Making sense of factor analysis: The use of factor analysis for instrument development in health care research. Sage.

Raykov, T., & Marcoulides, G. A. (2011). Introduction to psychometric theory. Routledge, Taylor & Francis.

Scott, R. E., Harrington, C., & Dubnjakovic, A. (2021). Exploring open access practices, attitudes, and policies in academic libraries. Portal: Libraries and the Academy, 21(2), 365–388. https://doi.org/10.1353/pla.2021.0020

Seaman, J. E., & Seaman, J. (2020). Digital Texts in the Time of COVID: Educational Resources in U.S. Higher Education. Bay View Analytics. https://www.bayviewanalytics.com/reports/digitaltextsinthetimeofcovid.pdf

Stevens, J. P. (2009). Applied multivariate statistics for the social sciences (5th ed.). Routledge.

Snoek-Brown, J. (n.d.). Tacoma Community College Library: Faculty/staff guide to Open Educational Resources (OER): OER myths. Retrieved June 18, 2025, from https://tacomacc.libguides.com/oer/myths

Thompson, B. (2004). Exploratory and confirmatory analysis: Understanding concepts and applications. American Psychological Association.

Thompson, S. D., & Muir, A. (2020). A case study investigation of academic library support for open educational resources in Scottish universities. Journal of Librarianship and Information Science, 52(3), 685–693. https://doi.org/10.1177/0961000619871604

Thompson, J. & Peach, J., (2023). Making OER sustainable in the library. Journal of Open Educational Resources in Higher Education, 2(1), 253–265. https://doi.org/10.13001/joerhe.v2i1.7203

Thornton, E. (2021). Academic librarian experiences and perceived value of OER professional development: A case study (Publication No. 2864874) [Doctoral dissertation, University of Arkansas]. ProQuest Dissertations & Theses Global.

Downloads

Published

2026-03-16

How to Cite

Richards, R., Monnin, J., & Whitman, K. (2026). The Knowledge, Attitudes, and Practices of Academic Librarians Toward Open Educational Resources: Developing and Validating the OpenEd-LibKAP Scale . Evidence Based Library and Information Practice, 21(1), 141–166. https://doi.org/10.18438/eblip30707

Issue

Section

Research Articles