Abstract
Background. In the U.S., prelicensure nursing students (PNSs) lack informatics competencies due to a lack of educational opportunities and resources. Therefore, there are implications in nursing education for preparing PNSs for patient-centered care using Locsin’s technological competency as caring in nursing theory.
Purpose. The purpose is to evaluate the psychometric properties and establish the reliability of the English translation of the TCCNI-R through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), and validity via structural equation modeling to examine if the instrument applies in U.S. academic nursing education in PNSs.
Methods. The proposed study utilizes a descriptive, cross-sectional design. Approximately 1,950 nationally accredited prelicensure nursing programs in the U.S. offering Associate and Baccalaureate degrees were contacted. Systematic sampling aims to recruit a minimum of 500 PNSs using the REDCap survey platform.
Results. Data will be analyzed using Bartlett test of sphericity, Cronbach’s alpha, Kaiser-Meyer-Olkin test to determine suitability for factor analysis, exploratory and confirmatory factor analysis, and structural equation modeling.
Notes
References:
Almarwani, A. M., & Yacoub, M. I. (2023). Examining the effect of an educational program on nursing students’ informatics competencies. Nursing Education Perspectives, 44(6), E59–E61. https://doi.org/10.1097/01.NEP.0000000000001106
Kavanagh, J. M., & Sharpnack, P. A. (2021). Crisis in competency: A defining moment in nursing education. Online Journal of Issues in Nursing, 26(1), 1. https://doi.org/10.3912/OJIN.Vol26No01Man02
Lysak, D., Palamarek, K., Trieu, J., & Kleib, M. (2022). Nursing student awareness and utilization of educational and professional resources towards informatics competency development. Canadian Journal of Nursing Informatics, 17(1), 1–17.
Morrow, M. R., & Locsin, R. (2023). Contributions to nursing knowledge: A dialogue with Dr. Rozzano Locsin. Nursing Science Quarterly, 36(2), 139–142. https://doi.org/10.1177/08943184221150251
Yokotani, T., Tanioka, T., Yasuhara, Y., Ito, H., Nakano, Y., Miyagawa, M., Betriana, F., & Locsin, R. (2021). Assessing the psychometric properties of the Technological Competency as Caring in Nursing Instrument-Revised. International Journal for Human Caring, 25(1), 30–44. https://doi.org/10.20467/HumanCaring-D-20-00015
Sigma Membership
Upsilon Chi
Type
Poster
Format Type
Text-based Document
Study Design/Type
Cross-Sectional
Research Approach
Other
Keywords:
Competence, Instrument and Tool Development, Nursing Students, Prelicensure Nursing Students, Patient-centered Care
Recommended Citation
Afable, Clarissa; Paul-Victor, Chitra; Prestia, Angela S.; and Roman, Jessica, "Technological Competency as Caring in Prelicensure Nursing Students: A US Survey Using the TCCNI-R" (2025). International Nursing Research Congress (INRC). 169.
https://www.sigmarepository.org/inrc/2025/posters_2025/169
Conference Name
36th International Nursing Research Congress
Conference Host
Sigma Theta Tau International
Conference Location
Seattle, Washington, USA
Conference Year
2025
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
Review Type
Abstract Review Only: Reviewed by Event Host
Acquisition
Proxy-submission
Technological Competency as Caring in Prelicensure Nursing Students: A US Survey Using the TCCNI-R
Seattle, Washington, USA
Background. In the U.S., prelicensure nursing students (PNSs) lack informatics competencies due to a lack of educational opportunities and resources. Therefore, there are implications in nursing education for preparing PNSs for patient-centered care using Locsin’s technological competency as caring in nursing theory.
Purpose. The purpose is to evaluate the psychometric properties and establish the reliability of the English translation of the TCCNI-R through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), and validity via structural equation modeling to examine if the instrument applies in U.S. academic nursing education in PNSs.
Methods. The proposed study utilizes a descriptive, cross-sectional design. Approximately 1,950 nationally accredited prelicensure nursing programs in the U.S. offering Associate and Baccalaureate degrees were contacted. Systematic sampling aims to recruit a minimum of 500 PNSs using the REDCap survey platform.
Results. Data will be analyzed using Bartlett test of sphericity, Cronbach’s alpha, Kaiser-Meyer-Olkin test to determine suitability for factor analysis, exploratory and confirmatory factor analysis, and structural equation modeling.
Description
The research aims to evaluate the validity and reliability of the English translation of the Japanese version of the TCCNI-R instrument. The American Association of Colleges of Nursing (AACN), the National League for Nursing (NLN), and the Quality and Safety Education for Nurses (QSEN) recommend that nursing informatics competency be taught across all levels of nursing programs. The goal is to establish these recommendations by conducting this national survey through scientific methods in PNSs.