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International Journal of Educational Management & Development Studies

ISSN 2719-0633 (Print) 2719-0641 (Online)

h-index: 11

ICV: 78.5

From insight to measurement: A self-assessment tool development for entry-level teachers’ instructional competence

Lynard Bobby L. Asirit
Volume 5 Issue 1, March 2024

This research addresses the critical need for assessing and enhancing instructional competence among entry-level teachers through the development of a quantitative self-assessment tool. The study follows best practices, employing Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and reliability testing with a sample of 1000 teachers. The resulting six-factor model includes effective lesson planning and development, alignment with educational and career goals, collaboration and stakeholder engagement, classroom management and leadership, well-being and stress management, and student engagement and passion, validated through CFA with a statistically significant fit. The scale development involves defining constructs, expert opinions, and rigorous statistical analyses, demonstrating high internal consistency in reliability testing. This study offers valuable insights into entry-level teachers' instructional competence, recommending the refinement of the scale, integration into training programs, and prioritization of ongoing professional development. Suggestions for longitudinal impact research and context-specific exploration will deepen understanding. Overall, this research lays a strong foundation for improving teacher induction programs and enhancing the effectiveness of entry-level educators in diverse educational settings.

assessment tool, entry-level teachers, factor analysis, instructional competence, scale development, self-assessment

Asirit, L.B.L., Hua, J.H., & Mendoza, L. (2022). A closer look at neophyte teachers’ instructional competence: A phenomenological study. International Research Journal of Science, Technology, Education, and Management, 2(2), 11-25. https://doi.org/10.5281/zenodo.6975604

Baker-Drayton, T. (2019). An evaluation of the new teacher mentoring and induction program at a title one elementary school. Dissertations. 348. https://digitalcommons.nl.edu/diss/348

Bandura, A. (1997). Self-efficacy: The exercise of control. W H Freeman/Times Books/ Henry Holt & Co.

Bastos, R. V. S. (2021, October 12). Confirmatory factor analysis fundamentals. Medium.  https://towardsdatascience.com/confirmatory-factor-analysis-theory-aac11af008a6

Ben-Shachar, M. S., Makowski, D., Lüdecke, D., Patil, I., Wiernik, B. M., & Thériault, R. (2022). Function reference. Interpret of CFA / SEM Indices of Goodness of Fit.  https://easystats.github.io/effectsize/reference/index.html

Cattell, R. B. (1966). The scree plot test for the number of factors. Multivariate Behavioral Research, 1, 140-161. http://dx.doi.org/10.1207/s15327906mbr0102_10

Cranston, J.A. (2012). Evaluating prospects: The criteria used to hire new teachers. Alberta Journal of Educational Research, 58(3), 350-367.

De Vera, Jayson L., Andrada, M.D., Bello, A. & De Vera, M. (2021). Teachers’ competencies in educational technology integration on instructional methodologies in the new normal. Lukad: An Online Journal of Pedagogy, 1(1), 61-80.

DeVellis, R. F., & Thorpe, C. T. (2022). Scale development: Theory and applications. SAGE Publications, Inc.

Ellis, J. L. (2017). Factor analysis and item analysis. Nijmegen. https://www.applyingstatisticsinbehaviouralresearch.com/documenten/factor_analysis_and_item_analysis_version_11_.pdf

Fein, E. C., Gilmour, J., Machin, T., & Hendry, L. (2022, June 16). Section 8.5: Efa interpretation. Statistics for Research Students.  https://usq.pressbooks.pub/statisticsforresearchstudents/chapter/efa-interpretation/

Finch, W. H. (2020). Exploratory factor analysis. Sage.

Glen, S. (2023, March 3). RMSE: Root mean square error. Statistics How To. https://www.statisticshowto.com/probability-and-statistics/regression-analysis/rmse-root-mean-square-error/

Haughey, D. (2021) Delphi technique a step-by-step guide, Project Smart. https://www.projectsmart.co.uk/tools/delphi-technique-a-step-by-step-guide.php

Huang, Q. (2022). Influence of EFL teachers’ self-assessment on their self-regulation and self-efficacy. Front. Psychol. 13, 891839. https://doi.org/10.3389/fpsyg.2022.891839

Israfilzade, K. (2021). Conversational marketing as a framework for interaction with the customer: Development & Validation of the conversational agent’s usage scale. Journal of Life Economics, 8(4), 533–546. https://doi.org/10.15637/jlecon.8.4.12

Järvinen-Taubert, J. (2023, April 5). Self-assessment as a tool for teacher’s professional development. Lesson App. https://lessonapp.fi/self-assessment-as-a-tool-for-teachers-professional-development/

Jugessur, Y. (2022). Dimension reduction, factor analysis, scree plot in educational research and academic performance. International Journal of Humanities and Social Science Invention (IJHSSI), 11(4), 15–28. https://doi.org/10.35629/7722-1104031528

Korir, T. (2022). Teachers performance appraisal and development and instructional competence. Journal of Advances in Education and Philosophy, 6(5), 259–266. https://doi.org/10.36348/jaep.2022.v06i05.001

Kotzebue, L. von, Meier, M., Finger, A., Kremser, E., Huwer, J., Thoms, L.-J., Becker, S., Bruckermann, T., & Thyssen, C. (2021). The framework DiKoLAN (Digital Competencies for teaching in science education) as basis for the self-assessment tool dikolan-grid. Education Sciences, 11(12), 775. https://doi.org/10.3390/educsci11120775

Kyriazos, T. A. (2018). Applied psychometrics: Sample size and sample power considerations in factor analysis (EFA, CFA) and SEM in general. Psychology, 09(08), 2207–2230. https://doi.org/10.4236/psych.2018.98126

Lamm, K., Lamm, A., & Edgar, D. (2020). Scale development and validation: Methodology and recommendations. Journal of International Agricultural and Extension Education, 27(2), 24–35. https://doi.org/10.5191/jiaee.2020.27224

Lauermann, F., & ten Hagen, I. (2021). Do teachers’ perceived teaching competence and self-efficacy affect students’ academic outcomes? A closer look at student-reported classroom processes and outcomes. Educational Psychologist, 56(4), 265–282. https://doi.org/10.1080/00461520.2021.1991355

Majzub, R.M. (2013). Teacher trainees’ self evaluation during teaching practicum. Procedia – Social and Behavioral Sciences, 102, 195-203. https://doi.org/10.1016/j.sbspro.2013.10.733

Manea, A.D., Stan, C. & Albulescu, I. (2022). Study on the dimension of teachers’ self-assessment. European Proceedings of Educational Sciences. https://doi.org/10.15405/epes.23056.12

McNeish, D. (2023). Dynamic Fit Index Cutoffs for Factor Analysis with Likert, Ordinal, or Binary Responses. https://doi.org/10.31234/osf.io/tp35s

Nijveldt, M., Beijaard, D., Brekelmans, M., Verloop, N. & Wubbels, T. (2005). Assessing the interpersonal competence of beginning teachers: The quality of the judgement process. International Journal of Educational Research, 43(1), 89-102. https://doi.org/10.1016/j.ijer.2006.03.008

OECD (2013). Teachers for the 21st century: Using evaluation to improve teaching. OECD Publishing.

Ohle-Peters, A., & Shahat, M. A. (2023). Differences in instructional quality during the covid-19 pandemic between Oman and Germany and the role of teacher competences. Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1244548

Pellerone, M. (2021). Self-perceived instructional competence, self-efficacy and burnout during the COVID-19 pandemic: A study of a group of Italian school teachers. European Journal of Investigation in Health, Psychology and Education, 11(2), 496–512. https://doi.org/10.3390/ejihpe11020035

Perez, C. (2023). VIA-IS-M and latinx cultural strengths: A study validation & confirmatory factor analysis. Theses and Dissertations. 5327. https://commons.und.edu/theses/5327

Quddus, L., Khalid, M. & Khan, M.W. (2019). Teachers’ self-assessment of their teaching effectiveness at higher secondary level in Pakistan: A case study. FGIC 2nd Conference on Governance and Integrity, KnE Social Sciences, 807–817. https://doi.org/10.18502/kss.v3i22.5089

Shrestha, N. (2021). Factor analysis as a tool for survey analysis. American Journal of Applied Mathematics and Statistics, 9(1), 4–11. https://doi.org/10.12691/ajams-9-1-2

Sürücü, L., Yikilmaz, İ., & MaslakçI, A. (2022). Exploratory Factor Analysis (EFA) in Quantitative Researches and Practical Considerations. https://doi.org/10.31219/osf.io/fgd4e

Yusoff, M. S. (2019). ABC of content validation and content validity index calculation. Education in Medicine Journal, 11(2), 49–54. https://doi.org/10.21315/eimj2019.11.2.6

Zhou, Y. (2019). A mixed methods model of scale development and validation analysis. Measurement: Interdisciplinary Research and Perspectives, 17(1), 38–47. https://doi.org/10.1080/15366367.2018.1479088

Lynard Bobby L. Asirit. Board of Education Hamamatsu City, Japan. Email: lynard.asirit@gmail.com

Cite this article:

Asirit, L.B.L. (2024). From insight to measurement: A self-assessment tool development for entry-level teachers' instructional competence. International Journal of Educational Management and Development Studies, 5 (1), 27-53. https://doi.org/10.53378/353043

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