PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY

J

• Adam, R., & Khoo, S. (1996). Quest: Interactive test analysis system version 2.1. The Australian council for educational research. https://research.acer.edu.au/cgi/viewcontent.cgi?article=1002&context=measurement

• Aliasghar, M., Seyed, A. H., & Kamran, M. K. (2017). A model for competency assessment of the faculty in Islamic Azad University. International Education Studies, 10(3), 17-23.

• Alkhafaji, S. (2013). Instructor’s performance: A proposed model for online evaluation. International Journal of Information Engineering and Electronic Business, 4, 34-40. https://doi.org/10.5815/ijieeb.2013.04.05

• Altbach, P. G., Reisberg, L., & Rumbley, L. E. (2009). Trends in global higher education: Tracking an academic revolution. UNESCO Publishing.

• American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (2014). Standards for educational and psychological testing (6th ed.). American Educational Research Association.

• Anwar, M., Chandrarin, G., Darsona, J. T., Respati, H. (2017). Lecturer job performance study: Motivation, emotional intelligence, organizational culture, and transformational leadership as antecedents with job satisfaction as an intervening. IOSR Journal of Business and Management, 19(6), 1-9.

• Baker, F. B., & Kim, S. (2017). The basics of item response theory using R. Springer.

• Blašková, M., & Blaško, R. (2012). Dimensions and attributes of the university teacher quality. In Human potential management in a company (pp. 32-43). University of Matej Bel.

• Blašková, M., Blaško, R., Jankalová, M., & Jankal, R. (2014). Key personality competencies of university teacher: Comparison of requirements defined by teachers and/versus defined by students. Procedia – Social and Behavioral Sciences, 114, 466-475.

• Bowen, D. E., & Ostroff, C. (2004). Understanding HRM-firm performance linkages: The role of the ‘strength’ of the HRM system. The Academy of Management Review, 29, 203-221. https://doi.org/10.5465/amr.2004.12736076

• Cardoso, S., Tavares, O., & Sin, C. (2015). The quality of teaching staff: Higher education institutions’ compliance with the European standards and guidelines for quality assurance – The case of Portugal. Educational Assessment Evaluation and Accountability, 27(3), 205-222. https://doi.org/10.1007/s11092-015-9211-z

• Caruth, D. L., & Humphreys, J. H. (2008). Performance appraisal: Essential characteristics for strategic control. Measuring Business Excellence, 12(3), 24-32. https://doi.org/10.1108/13683040810900377

• Curzi, Y., Fabbri, T., Scapolan, A. C., & Boscolo, S. (2019). Performance appraisal and innovative behavior in the digital era. Frontiers in Psychology, 10, 16-59. https://doi.org/10.3389/fpsyg.2019.01659

• Embretson, S. E., & Reise, S. P. (2000). Item response theory of psychologists. Erlbaum.

• Gómez, L. F., & Valdés, M. G. (2019). The evaluation of teacher performance in higher education. Propósitosy Representaciones, 7(2), 479-515. https://doi.org/10.20511/pyr2019v7n2.255

• Hosain, M. S. (2016). Teaching workload and performance: An empirical analysis on some selected private universities of Bangladesh. International Journal of English and Education, 5(3), 1-11.

• Islam, R., Haidoub, I. M., & Tarique, K. M. (2019). Enhancing quality of education: A case study on an international Islamic university. Asian Academy of Management Journal, 24(1), 141-156.

• Junpeng, P., Marwiang, M., Chiajunthuk, S., Suwannatrai, P., Chanayota, K., Pongboriboon, K., Tang, K. N., & Wilson, M. (2020). Validation of a digital tool for diagnosing mathematical proficiency. International Journal of Evaluation and Research in Education, 9(3), 665-674. https://doi.org/10.11591/ijere.v9i3.20503

• Khon Kaen University. (2015). Criteria and methods for evaluating the performance of personnel. Khon Kaen University printing house.

• Kurtulmus, B. E., Warner, B., & Özari, Ç. (2016). Research or teaching oriented? Game theory models for the strategic decision-making process of universities with the external environment held neutral. Electronic Journal of Applied Statistical Analysis, 9(3), 469-490.

• Laei, S., Abdi, A., Karamaerouz, M. J., & Shirkhani, N. (2014). Instructors’ evaluation as an instrument to improve performance and determine competence. Universal Journal of Educational Research, 2(2), 110-118. https://doi.org/10.13189/ujer.2014.020202

• Le, L. C. (2021). Assessing lecturer competence: A case study of public universities in Ho Chi Minh City. Academy of Strategic Management Journal, 20(S2), 1-12.

• Lohman, L. (2021). Evaluation of university teaching as sound performance appraisal. Studies in Educational Evaluation, 70, Article 101008. https://doi.org/10.1016/j.stueduc.2021.101008

• Lunz, M. E. (2010). Measurement research associates test insights. https://www.rasch.org/mra/mra-01-10.htm

• Masters, G. N. (2005). Partial credit model. Encyclopedia of Social Measurement, 7-17. https://doi.org/10.1016/BO-12-369398-5/00462-X

• Molefe, G. N. (2010). Performance measurement dimensions for lecturers at selected universities: An international perspective. SA Journal of Human Resource Management, 8(1), Article 243. https://doi.org/10.4102/sajhrm.v8i1.243

• Nongna, C., Junpeng, P., Hong-ngam, J., Podjana, C., & Tang, K. N. (2021). Creating core competencies and workload-based outcome indicators of university lecturers’ performance assessment: Functional analysis. Journal of Education and Learning, 10(6), 82-91. https://doi.org/10.5539/jel.v19n6p82

• Odero, J. A., & Makori, E. M. (2018). Employee involvement and employee performance: The case of part time lecturers in public universities in Kenya. International Journal of Management and Commerce Innovations, 5(2), 1169-1178.

• Office of the Civil Service Commission. (2009). Guide to core competencies. P. A. Living.

• Office of the Higher Education Commission. (2018). Guidelines for enhancing the quality of teaching and learning management of instructors in higher education institutions. Prints.

• Prasetio, A. P., Azis, E., Fadhilah, D. D., & Fauziah, A. F. (2017). Lecturers’ professional competency and students’ academic performance in Indonesia higher education. International Journal of Human Resource Studies, 7(1), 86-93.

• Reeves, T. C. (2006). Design research from a technology perspective. In J. V. D. Akker, K. Gravemeijer, S. McKenney, & N. Nieveen (Eds.), Educational design research (pp. 52-66). Routledge.

• Rossi, R. J. (2018). Mathematical statistics: An introduction to likelihood-based inference. John Wiley & Sons.

• Selvi, K. (2010). Teachers’ competencies. Cultura International Journal of Philosophy of Culture and Axiology, 7(1), 167-175. https://doi.org/10.5840/cultura20107133

• Tan, S., Lau, E., Ting, H., Cheah, J. H., Simonetti, B., & Tan, H. L. (2019). How do students evaluate instructors’ performance? Implication of teaching abilities, physical attractiveness and psychological factors. Social Indicators Research, 146, 61-76. https://doi.org/10.1007/s11205-019-02071-6

• Turturean, M. (2013). University trainees’ key competencies – a global profile. Procedia – Social and Behavioral Sciences, 76, 801-805.

• Vongvanich, S. (2020). Design research in education. Chulalongkorn University Printing House.

• Ward, M. D., & Ahlquist, J. S. (2018). Maximum likelihood for social science: Strategies for analysis. Cambridge University Press.

• Wilson, M., Allen, D. D., & Li, J. C. (2006). Improving measurement in health education and health behavior research using item response modelling: Comparison with the classical test theory approach. Health Education Research, 2(1), i19-i32.

• Wu, M. L., Adams, R. J., Wilson, M. R., & Haldane, S. A. (2007). ACER Con Quest 2.0: Generalized item response modelling software. ACER Press.