Confirmatory factor analysis : Collaborative learning scale for nursing students

Authors

  • Aphisit Tamsat Police Nursing College https://orcid.org/0000-0001-7127-3549
  • Suwimon Wongwanich Department of Educational Research and Psychology, Faculty of Education, Chulalongkorn University
  • Duangkamol Traiwichitkhun Department of Educational Research and Psychology, Faculty of Education, Chulalongkorn University

Keywords:

the collaborative learning scale, nursing students

Abstract

            The purpose of this study was to analyze the confirmatory factors of collaborative learning scale. The participants were the 2nd, 3rd and 4th year of nursing students from nursing colleges under the Ministry of Defense and the Royal Thai Police Headquarters. Two hundred and forty nursing students were recruited by simple random sampling. The research instruments were demographic data form and the collaborative learning scale. Data were analyzed by using 1) descriptive statistics including frequency, percentage, mean, standard deviation, and 2) confirmatory factor analysis (CFA).

            The study findings revealed that the collaborative learning scale was to analyze CFA. It was developed from literature review and consisted of 21 indicators which divided into 3 dimensions including: 1) emotional, thoughts, and beliefs in collaborative learning (6 indicators), 2) collaborative learning ability (6 indicators), and 3) collaborative learning behavior (9 indicators). The Cronbach's alpha coefficient of the collaborative learning scale was .958 and each dimension was .892, 892, and .920, respectively. In the process of conducting CFA, the collaborative learning measurement model was fitted to the empirical data and statistically significant (chi-square (df = 171, n = 240) = 310.486, p = .000; χ2/df=1.816; CFI = .959, TFI = .950; SRMR = .053, RMSEA = .058).

            Suggestions: Nursing instructors could utilize the collaborative learning scale as a learning assessment among nursing students to obtain information that leads to develop the suitable teaching and learning activities for nursing education.

 

Author Biography

Aphisit Tamsat, Police Nursing College

กองบรรณาธิการวารสารพยาบาลตำรวจ

บรรณาธิการชมรมพยาบาลออร์โธปิดิกส์แห่งประเทศไทย

References

Kunaviktikul W. Teaching and learning in the discipline of nursing in the 21st century. Nursing Journal. 2015;42(2): 152-6. (in Thai).

Breen H. Examining Harasim's online collaborative learning theory for nursing education [Dissertation]. Honolulu, Hawaii, U.S.: University of Hawai'i at Manoa; 2013.

Posey L, Pintz C. Online teaching strategies to improve collaboration among nursing students. Nurse Educ Today. 2006;26(8):680-7.

Parker B, Myrick F. A critical examination of high-fidelity human patient simulation within the context of nursing pedagogy. Nurse Educ Today. 2009;29(3):322-9.

Chaikongkiat P, Niha S, Chantarasiripoot B. 21st century learning skills of nursing students: A survey research in Yala. The Southern College Network Journal of Nursing and Public Health. 2019;6(1):112-20. (in Thai).

Janepanish-Visudtibhan P, Disorntatiwat P. Learning style preferences of nursing students at Ramathibodi School of Nursing, Faculty of Medicine, Ramathibodi Hospital, Mahidol University. Nursing Journal of the Ministry of Public Health. 2015;25(1):70-82. (in Thai).

Pitsachart N, Techasatian K, Juthamanee S, Leelakraiwan C. Nursing students' learning styles in school of nursing, Shinawatra University. Journal of the Police Nurses. 2018;10(1):173-9. (in Thai).

Nielson M, Warren L, Graham D. Promoting collaboration in undergraduate nursing students. J Nurs Educ. 2019;58(11):657-60.

Yang K, Woomer GR, Matthews JT. Collaborative learning among undergraduate students in community health nursing. Nurse Educ Pract. 2012;12(2):72-6.

Sandahl S. Collaborative testing as a learning strategy in nursing education: a review of the literature. Nurs Educ Perspect. 2009;30(3):171-5.

Olivares OJ. Collaborative critical thinking: Conceptualizing and defining a new construct from known constructs. Issues Educ. Res. 2005;15(1):86-100.

Yasmin M, Naseem F. Collaborative learning and learner autonomy: Beliefs, practices and prospects in Pakistani engineering universities. IEEE Access. 2019;7:71493-9.

Zhang J, Cui Q. Collaborative learning in higher nursing education: A systematic review. J Prof Nurs. 2018;34(5):378-88.

Souers C, Kauffman L, McManus C, Parker V. Collaborative learning: A focused partnership. Nurse Educ Pract. 2007;7(6):392-8.

Janssen J, Bodemer D. Coordinated computer-supported collaborative learning: Awareness and awareness tools. Educ Psychol. 2013;48(1):40-55.

Orvis KL, Lassiter AL. Computer-supported collaborative learning: The role of the instructor: IGI Global. 2006:158-79.

So H, Brush TA. Student perceptions of collaborative learning, social presence and satisfaction in a blended learning environment: Relationships and critical factors. Comput Educ. 2008;51(1):318-36.

Wiggs CM. Collaborative testing: Assessing teamwork and critical thinking behaviors in baccalaureate nursing students. Nurse education today. 2011;31(3):279-82.

Järvenoja H, Järvelä S. Emotion control in collaborative learning situations: Do students regulate emotions evoked by social challenges. Br J Educ Psychol. 2009;79(3):463-81.

Chatterjee R, Correia AP. Online students’ attitudes toward collaborative learning and sense of community. Am. J. Distance Educ. 2020;34(1):53-68.

Le H, Janssen J, Wubbels T. Collaborative learning practices: Teacher and student perceived obstacles to effective student collaboration. Camb J Educ. 2018;48(1):103-22.

Florence WM. A cross-sectional study: Collaborative learning approach enhances learning attitudes of undergraduate nursing students. GSTF Journal of Nursing and Health Care (JNHC). 2018;5(1).

Ignacio J, Chen HC. Cognitive integration in health professions education: Development and implementation of a collaborative learning workshop in an undergraduate nursing programme. Nurse Educ Today. 2020:104436.

Stahl G. Group cognition in computer-assisted collaborative learning. J Comput Assist Learn. 2005;21(2):79-90.

Stahl G. Theories of collaborative cognition: Foundations for CSCL and CSCW together. Computer-supported collaborative learning at the workplace Boston, MA: Springer; 2013:43-63.

Stahl G. A decade of CSCL. Intern. J. Comput.-Support. Collab. Learn. 2015;10:337–44.

Soper D. A-priori sample size calculator for structural equation models [Software]. 2020.

Hayton JC, Allen DG, Scarpello V. Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis. Organ Res Methods. 2004;7(2):191-205.

Downloads

Published

2021-02-07

How to Cite

1.
Tamsat A, Wongwanich S, Traiwichitkhun D. Confirmatory factor analysis : Collaborative learning scale for nursing students. Thai J Cardio-Thorac Nurs. [Internet]. 2021 Feb. 7 [cited 2024 Nov. 22];31(2):142-59. Available from: https://he02.tci-thaijo.org/index.php/journalthaicvtnurse/article/view/241064

Issue

Section

Research Articles