Measurement Model of Soft Skills: Work Environment as a Mediator of Teaching Success
DOI:
https://doi.org/10.61841/1q4t0738Keywords:
Measurement Model,, Nigeria, SmartPLS, , Soft Skills,, Teaching Success, Work Environment.Abstract
Analysing the level of soft skills acquired by would-be teachers and its effect on their teaching performance reveals that value must be created before it is demonstrated. This work aims to establish the validity and reliability of an instrument designed for data collection for the main study. A non-experimental research design was adopted. Three instruments comprising 60 items were used to collect data from 95 final-year students of the faculties of education of federal universities in north–central Nigeria. No significant relationship was hypothesised between the measurement model and the hypothesised structural model, that is, the recycled questions were not accurate measures of their respective constructs. Partial least square structural equation modelling was performed by using SmartPLS version 3.0. The indicator loadings ranged between 0.6 and 0.9, the indicator reliability was ≥4.0 and the VIF was >0.5 at a 5% level of significance. Filtering the indicators into their respective constructs revealed that their Cronbach’s alpha and composite reliability values range between 0.8 and 0.9, whereas their average variances extracted range from 0.5 to 0.8. Such high validity and reliability indicate that the recycled questions are accurate measures of their respective constructs, thereby suggesting that these questions can be used to collect high-quality data for the main study.
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[1] Alliger, G. M., & Janak, E. A. (1989). Kirkpatricks level of training criteria: Thirty years later. Personnel Psychology, 42, 331–342.
[2] Allington R, Fernandez-Fuentes I (2013). The importance of professional skills alongside scientific and technical excellence to underpin ethical geoscience practice. Geophysical Research Abstracts, 15, 1.
[3] Aworanti, O. A., Taiwo, M. B., & Iluobe, O. I. (2015). Validation of modified soft skills assessment instrument (MOSSAI) for use in Nigeria. Universal Journal of Educational Research, 3(11), 847–861.
[4] Bagozzi, R. P., & Yi, Y. (2012). Specification, evaluation, and interpretation of structural equation models. Journal of the Academy of Marketing Science, 40, 8–34.
[5] Bailey, J. L. (2014). Non-technical skills for success in a technical world. International Journal of Business and Social Science, 5(4), 1–10.
[6] Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. New Jersey: Prentice Hall.
[7] Blatchford, P., Russell, A., Bassett., Brown, P., & Martins, C. (2007). The effect of class size on teaching of pupils aged 7-11 years. Social Effectiveness and Social Improvement, 18(2), 147–172.
[8] Boachin, P., & Hofman, A. (2013). A disciplinary perspective of competency-based training on the acquisition of employability skills. Journal of Vocational Education & Training, 65(3), 385–401.
[9] Chen, G., & Kanfer, R. (2006). Towards a system theory of motivation behavior in work teams. Research in Organizational Behavior, 27, 223–267.
[10] Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern Methods for Business Research. Mahwal: Erlbaum, pp. 295–358.
[11] Comrey, A. L., & Lee, H. B. (1992). A First Course in Factor Analysis. New Jersey: Erlbaum.
[12] Crawford, P., Lang, S., Fink, W., Dalton, R., & Fieltz, L. (2011). Comparative analysis of soft skills: What is important for new graduates? Washington DC: Association of Public and Land-Grant University.
[13] Cresswell, J. W. (2014). Educational Research: Planning, Conducting and Evaluating quantitative and qualitative research. Lincoln: Edward Brothers.
[14] Davis, G. (2018). Soft skills: The key to success. https://www.slideshare.net/saitjbp/soft-skill-article-by-dr-fr- davis-george.
[15] Ericsson, K. A., Krampe, R. T., & Tesch-Roemer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100, 363–406.
[16] Everaert, P., Sarens, G., & Rommel, J. (2010). Using Transaction Cost Economics to explain outsourcing of accounting. Small Bus. Econ., 35(1), 93–112.
[17] Fornell, C., & Cha, J. (1994). Advance Methods. Journal of Marketing Research, 407, 52–78.
[18] Fornell, C. G., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
[19] Ghisseli, E. E., Campell, J.P., & Zedeck, S. (1981). Measurement Theory for Behavioural Sciences. California: Freeman.
[20] Good, T. L., & Lavigne, A. L. (2018). Looking in Classrooms. New York: Routledge.
[21] Gorsuch, R. L. (1983). Factor Analysis. New Jersey: Lawrence Erlbaum.
[22] Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (2008). Multivariate data analysis. New Jersey: Prentice Hall.
[23] Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). California: Sage Publications.
[24] Hair, J. F., Anderson, R.E., Tatham, R. L., & Black, W. C. (2008) Multivariate Data Analysis. New Jersey: Prentice Hall Publisher.
[25] Harter, S. (1985). Manual for the Self-Perception Profile for Children. Colorado: University of Denver.
[26] Hattie, J. A. C. (2015). The applicability of Visible Learning to higher education. Scholarship of Teaching and Learning in Psychology, 1(1), 79–91.
[27] Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling; Journal of the Academic Marketing and Science, 43(1), 115–135.
[28] Heris, H. (2017). Teachers hard and soft skills in innovative teaching of mathematics, World Transactions on Engineering and Technology Education, 5(20), 145–150.
[29] Hill, R. (1998). What sample size is enough in internet survey research? Interpersonal Computing and Technology: An Electronic Journal for the 21st Century, 6, 3–4.
[30] Hulland, J. (1999), Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2), 195–204.
[31] Husain, M. Y., Mustapha, R., Malik, S. A. & Mokhtar, S. B. (2014). Review of measurement item of engineering students learning environment: Confirmatory factor analysis. Journal of Technical Education and Training, 6(11), 42–56.
[32] Idrus, H., Dahan, H. M., & Abdullah, N. (2014). Integrating soft skills in teaching of hard skills at private university: A preliminary study. Pertanika Journal of Social Science and Humanities, 22(5), 17–32.
[33] Ihtiyaroglu, N. (2018). Can I Grow Up as an Effective Teacher? A Mixed Method Study. Educational Sciences: Theory and Practice, 18(3), 627–660.
[34] Isaac, S., & Michael, W.B. (1995) Handbook in Research and Evaluation. California: Educational and Industrial Testing Services.
[35] Jackson, D. (2013). Student perceptions of the importance of employability skill provision in business undergraduate programs. Journal of Education for Business, 88(5), 271–279.
[36] Jackson, D., & Chapman, E. (2012). Non-technical competencies in undergraduate business degree programs: Australian and UK perspectives. Studies in Higher Education, 37(5), 541–567.
[37] Jenkins, D. G., Mitra, A., Gupta, N., & Shaw, J. D. (1998). Are financial incentives related to performance? A meta analytic review of empirical research. Applied Psychology, 83, 777–787.
[38] Jones, J. (1965). Occupational preference and social orientation. Journal of Counselling and Development, 43(6), 574–579.
[39] Kanchier, C. J., & Unruh, W. R. (2012). Frequency and direction of managerial occupational change. Carrier Development Quarterly, 34, 304–315.
[40] Kautz, T., Heckman, J. J., Diris, R., Ter Weel, B., & Borghans, L. (2014). Fostering and Measuring Skills: Improving Cognitive and Non-Cognitive Skills to Promote Lifetime Success. Paris: OECD Publishing.
[41] Kechagias, K. (2011). Teaching and assessing soft skills. MASS project, Neapolis: 1st second chance school of Thessalonica.
[42] Kirkpatrick, J., & Kirkpatrick., W. (2012). Kirkpatrick hybrid evaluation tool template. Warwickshire: Kirkpatrick Publisher.
[43] Kirkpatrick, J., & Kirkpatrick, W. K. (2009). Kirkpatrick Then and Now. Warwickshire: Kirkpatrick Publisher.
[44] Kirpatrick, D. L. (1998). Evaluating Training Programmes: The Four Levels. San Francisco, Beret-koehler.
[45] Kiruja, E. K. & Elegwa, M. (2013). Effects of motivation on employee performance in public middle level technical training institutions in Kenya. International Journal of Advances in Management and Economics, 2(4), 73–82.
[46] Klaus, P. (2010). The hard truth about soft skills: Workplace Lessons Smart People Wish They’d Learned Sooner. New York: Klaus & Associates.
[47] Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS-SEM: The inverse square root and gamma-exponential methods. Information Systems Journal, 28(1), 227–261.
[48] Konig, C. J., & Steel, P. (2006). Integrating theory of motivation. The Academy of Management Review, 31(4), 889–913.
[49] Kozlowski, S. W. J., & Hults, B. M. (1987). An exploration of climates for technical updating and performance. Personal Psychology, 40, 539–563.
[50] Lamb, S., Maire, Q. & Doecke, E. (2017) Key skills for the 21st century: An evidence-based review, future frontiers analytical report. https://education.nsw.gov.au/our-priorities/innovate-for-the-future/education-for-a- changing-world/research-findings/future-frontiers-analytical-report-key-skills-for-the-21st-century/Key-Skills- for-the-21st-Century-Analytical-Report.pdf.
[51] Lazaroiu, G. (2015). Employee motivation and job performance. Journal of linguistics and Philosophical Investigation, 4(1), 97–102.
[52] Mathieu, J. E., Tannenbaum, S. L., & Salas, E. (1992). Influence of individual and situational characteristics on measures of training effectiveness. Academy of Management Journal, 35, 828–847.
[53] Manninen, J., Sgier, I., Fleige, M., Thöne-Geyer, B., Kil, M., Možina, E. (2014). Benefits of Lifelong Learning in Europe: Main Results of the BeLL-Project. German Institute for Adult Education.
[54] McLean, S., & Moss, G. (2003). They're happy, but did they make a difference? Applying Kirkpatrick’s framework to the evaluation of a national leadership program. Canadian Journal of Program Evaluation, 18(1), 1–23.
[55] Melser, N. A. (2019). Teaching soft skills in a hard world: A guide for beginning teachers. Lanham Maryland, London: Rowman & Littlefield.
[56] Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012). A critical look at the use of PLS-SEM in MIS Quarterly, MIS Quarterly, 36(1), 3–16.
[57] Rouiller, J. Z. & Goldstein, I. L. (1993). The relationship between organizational transfer climate and positive transfer of training. Human Resource Development Quarterly, 4, 377–390.
[58] Saidu, S. (2015). Impact of class-size on teaching university of Jos undergraduate student’s curriculum courses: Implications for teacher education, International Journal of Science Technology and Mathematics Education, 2(4), 111–120.
[59] Schummann, P.L., Anderson, P.H., Scoh, T.W., & Lawton, L. (2001). A framework for evaluating simulations as educational tools. Development in Business Simulation and Experiential Learning, 28, 215–220.
[60] Tang, K. N. (2020). The importance of soft skills acquisition by teachers in higher education institutions, Kasetsart Journal of Social Sciences, 41, 22–27.
[61] Tenenhaus, M., Esposito, V., Chatelin Y.M., & Lauro, C. (2005). PLS path modeling. Computational Statistics and Data Analysis, 48(1), 159–205.
[62] Tracey, J. B., Tannenbauum, S. I., & Kavanagh, M. J. (1995). Applying trained skills on the job: The importance of the work environment. Journal of Applied Psychology, 80(2), 239-252.
[63] Vandenberg, K. C. (2012). Class-size and academic achievements. PhD thesis, Georgia Southern University.
[64] Wong, K. K. (2013). Review of the book Handbook of Partial Least Squares: Concepts, Methods and Applications. International Journal of Business Science & Applied Management, 6(2), 52–54.
[65] Wu, L., Valcke, M., & Van Keer, H. (2019). Factors associated with reading comprehension of secondary school students. Educational Sciences: Theory & Practice, 19(4), 34–47.
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