The Confirmatory Factor Analysis of Digital Competencies of Second Year Vocational Students in Pathum Thani Province
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The objective of this research was to perform a confirmatory factor analysis of the digital competencies of second-year vocational students in Pathum Thani Province. The sample group consisted of 91 second-year students studying at the High Vocational Certificate level at Pathum Thani Technical College during the 2024 academic year. The development of the research instrument involved the following steps: Step 1: Defining digital competencies based on the conceptual framework of Schwartz et al. (2024); Step 2: Testing content validity by calculating the Index of Item-Objective Congruence (IOC); Step 3: Testing reliability using Cronbach’s Alpha Coefficient; Step 4: Conducting Exploratory Factor Analysis (EFA) using SPSS software; and Step 5: Conducting Confirmatory Factor Analysis (CFA) using MPlus software. The data were collected using a 5-point rating scale digital competency assessment for vocational students, consisting of 4 indicators and a total of 10 items. The Index of Item-Objective Congruence (IOC) was 0.97, and the reliability, calculated using Cronbach’s Alpha, was 0.95. Data analysis utilized descriptive statistics and confirmatory factor analysis. The research findings revealed that the developed digital competency model for vocational students is a unidimensional model, consistent with the theoretical framework of Schwartz et al. (2024). The goodness-of-fit indices of the digital competency model were largely consistent with empirical data, with (χ2) = 213.27, p = 0.00 df = 35CFI = 0.93, TLI = 0.92, SRMR = 0.03, and RMSEA = 0.11
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กันต์ฤทัย คลังพหลและวัสส์พร จิโรจพันธุ์. (2567). การวิเคราะห์องค์ประกอบเชิงยืนยันอันดับที่สองของสมรรถนะการวัดและประเมินผลของนักศึกษาประกาศนียบัตรวิชาชีพครู. วารสารวไลยอลงกรณ์ปริทัศน์,14(2),88-103.
วิทยาลัยเทคนิคปทุมธานี.(2567). การประกวดผลงงานสิ่งประดิษฐ์วิชาโครงงาน: รายงานการประชุมเพื่อเตรียมความพร้อมโครงการประกวดผลงงานสิ่งประดิษฐ์วิชาโครงงาน.ปทุมธานี: ฝ่ายแผนงานและความร่วมมือ วิทยาลัยเทคนิคปทุมธานี.
สุกัญญา พรมอารักษ์. (2568). การตรวจสอบความตรงเชิงโครงสร้างของโมเดลการวัดสมรรถนะของบุคลากรทางการศึกษาสังกัดสํานักงานเขตพื้นที่การศึกษาประถมศึกษาในภาคตะวันออกเฉียงเหนือของประเทศไทย. วารสารสหวิทยาการนวัตกรรมปริทรรศน์, 8(5), 239-253.
สำนักงานคณะกรรมการการอาชีวศึกษา.(2567). หลักสูตรประกาศนียบัตรวิชาชีพชั้นสูงพุทธศักราช 2567.กรุงเทพฯ: สำนักมาตรฐานการอาชีวศึกษาและวิชาชีพ.
Alzubaidi, A. (2021). Measuring the level of cyber-security awareness for cybercrime in SaudiArabia. Heliyon, 7(1):e06016. https://doi.org/10.1016/j.heliyon.2021.e06016 R
Anshori, F., Soenarto, Rohmantoro, D. (2023). A Preliminary Study: Analysis of the DigitalCompetence of Vocational Students on the Island of Lombok. Proceedings of the 1st UPY International Conference on Education and Social Science (UPINCESS 2022) (pp.166-173). http://doi.org/10.2991/978-2-494069-39-8_15
Astuti, M., Arifin, Z., Nurtanto, M., Mutohhari, F. (2022). The maturity levels of the digital technology competence in vocational education. International Journal of Evaluation and Research in Education (IJERE), 11(2):596. http://doi.org.10.11591/ijere.v11i2.22258
Bentler, P.M. (1990). Comparative Fit Indexes in Structural Models. Psychological Bulletin, 107(2), 238-46.
Cabezas-González, M., Casillas-Martín, S., García-Valcárcel Muñoz-Repiso, A. (2023). Theoretical Models Explaining the Level of Digital Competence in Students. Computers, 12, 100. https://doi.org/10.3390/computers12050100
Ergül, D. Y., &Tasarb, M. F.(2023). Development and Validation of the Teachers’ Digital Competence Scale (TDiCoS). Journal of Learning and Teaching in Digital Age, 8(1),148-160.
Hair, J. F. et al. (2006). Multivariate data analysis (6th ed.). New Jersey: Pearson Prentice Hall
Hu, L. T., & Bentler, P. M. (1999). Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria versus New Alternatives. Structural Equation Modeling, 6, 1-55. http://dx.doi.org/10.1080/10705519909540118
Huraj, L., Lengyelfalusy, T., Hurajová , A., Lajčin, D. (2023). Measuring Cyber Security Awareness: A Comparison between Computer Science and Media Science Students. TEM Journal, 12(2), 623-633.
Kovalchuk, V., & Soroka, V. (2020). Developing digital competency in future masters of vocational training. Professional Pedagogies, 1(20), 96-103.
Thanachawengsakul, N., Suwathanpornkul, I.,& Charoensuk, O. (2024).Confirmatory Factor Analysis of the Computational Thinking Learning Competency Measurement Model of Students in the Bachelor of Education Program in Computer at Rajabhat University. International Education Studies,17(5), 123-134.
Pedaste, M., Kalmus, V., & Vainonen, K. (2021). Dimensions of digital competence and its assessment in basic school. Estonian Journal of Education, 9(2), 212-243.
Schwarz, S.,et al. (2024).Digital Competence Scale (DCS)A Short Self-Assessment Instrument for Measuring DigitalCompetences, Nordic Journal of Digital Literacy, 19(3),126–143.
Taebi, B., Correljé, A., Cuppen, E., Dignum, M.,& Pesch, U. (2014). Responsible innovation as an endorsement of public values: the need for interdisciplinary research. Journal of Responsible Innovation, 1(1), 118-124. https://doi.org/10.1080/23299460.2014.882072
Tomczyk, L. (2019). Skills in the area of digital safety as a key component of digital literacy among Teachers. Education and Information Technologies, 25, 471-486. https://doi.org/10.1007/s10639-019-09980-6
Rozali, M. Z., Go, C. H., Samshul, S. N., Ismail, A., & Zakaria, A. F. (2024). A New Digital Competence Framework for Primary School Design and Technology Teachers. Journal of Technical Education and Training, 16(2), 175-185.
Schwartz, S., Bieg, T., Svecsnik., Schmölz, M., Geppert, C., & Gerdenitsch, C. (2024). Nordic Journal of Digital Literacy, 19(3), 126-143.
Wang, X., Zhang, R., Wang, Z., & Li, T. (2021). How does digital competence preserve university students’ psychological well-being during the pandemic? An investigation from self-determined theory. Frontiers in Psychology, 12, Article652594. https://doi.org/10.3389 /fpsyg.2021.652594
Wang, X., Wang, Z.,Wang, O., Chen, W., & Pi, Z.(2021).Supporting digitally enhanced learning through measurement in higher education: Development and validation of a university students' digital competence scale. Journal of Computer Assisted Learning. 37(4), 1063-1076
Zervas, I., Stiakakis, E. (2024). Digital skills in vocational education and training: Investigating the impact of Erasmus, digital tools, and educational platforms. Journal of Infrastructure, Policy and Development, 8(8): 8415. https://doi.org/10.24294/jipd.v8i8.8415
