Erkan Tabancalı, Gülhayat Gölbaşı Şimşek, Mithat Korumaz


In this study researchers aim to develop a valid and reliable talent management scale for educational organizations. For this aim the sample of the study involves 784 principals, vice principals and teachers who work in different schools and provinces in Istanbul in 2014-2015 academic year. Data was analyzed in eight steps by using quantitative methods; a) explanatory factor analysis for unidimensionality of each of the factors; b) exploratory factor analysis for providing two dimensional factor structures; c) exploratory factor analysis for all factors to provide six dimensional factor structure; d) confirmatory factor analysis for each single factor; e) confirmatory factor analysis for six dimensional model; f) evaluating discriminant validity of the scale; g) assessing Cronbach alpha and Omega coefficients for the reliability; h) and providing measurement invariance into subsamples. All of these stages’ results showed that this talent management scale for educational organization is valid and reliable.


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talent management, educational organizations, scale, teachers, validity, reliability


Anderson, J.C. & Gerbing D.W. (1988). Structural equation modelling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. doi: http://dx.doi.org/10.1037/0033-2909.103.3.411.

Arrindell, W.A., Van der Ende, J. (1985). An empirical test of the utility of the observations-to-variables ratio in factor and components analysis. Applied Psychological Measurement, 9(2), 165-178. doi: 10.1177/014662168500900205

Altuntug, N. (2009). Role of the competences in sustaining the competitive advantage: competence management approach. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 14(3), 445-460.

Atli, D. (2012). Yetenek Yönetimi (Talent Management). İstanbul: Crea Yayınları

Boudreau, J.W. & Ramstad, P.M. (2005). Where’s your pivotal talent? Harvard Business Review, 83(4), 23-24.

Child, D. (2006). The essentials of factor analysis. (3rd ed.). New York, NY: Continuum International Publishing Group.

Claussen, J., Grohsjean, T., Luger, J. & Probst, G. (2014). Talent management and career development: What it takes to get promoted. Journal of World Business, 49(2), 236-244. doi: 10.1016/j.jwb.2013.11.007

Collings, D. G. & Mellahi, K. (2009). Strategic talent management: A review and research agenda. Human Resource Management Review, 19(4), 304–313. doi:10.1016/j.hrmr.2009.04.001

Comrey, A.L. & Lee, H.B (1992). A first course in factor analysis (2nd edition). Hillsdale, NJ: Lawrence Erlbaum Associates.

Davies, B. & Davies, B.J. (2011). Talent management in education. Sage Publications.

DeArmond, M., Gross, B., Bowen, M., Demeritt, A. & Lake, R. (2012). Managing talent for school coherence: learning from charter management organizations. Center on reinventing public education, University of Washington,

Devine, M. & Powell, M. (2008). Talent management in the public sector. 360 The Ashridge Journal, 1-6.

Field, A. (2009). Discovering Statistics using SPSS. Sage: London.

Fraenkel, J. R. and Wallen, N. E. (2009). How to Design and Evaluate Research in Education. New York: McGraw-Hill.

Gay, S.M. & Sims, S.D. (2007). Building Tomorrow's Talent: A Practitioner's Guide to Talent Management and Succession Planning. Authorhouse.

George, D. & Mallery, P. (2003). SPSS for Windows step by step: A simple guide and reference. 11.0 update (4th ed.). Boston: Allyn and Bacon.

Hair Jr, J.F., Black, W.C., Babin, B.J. & Anderson, R.E. (2010). Multivariate Data Analysis: A global perspective (7th ed.) Upper Saddle River, NJ: Pearson Prentice Hall.

Hutcheson, G. & Sofroniou, N. (1999). The multivariate social scientist: Introductory statistics using generalized linear models. Thousand Oaks, CA: Sage Publications.

Khatri, P., Gupta, S., Gulati, K. & Chauhan, S. (2010). Talent Management in HR. Journal of Management and Strategy, 1(1): 39. doi: 10.5430/jms.v1n1p39

Levin, J. & Quinn, M. (2003). Missed opportunities: How we keep high-quality teachers out of urban classrooms. The New Teacher Project.

Levin, J., Mulhern, J. & Schunck, J. (2005). Unintended Consequences: The Case for Reforming the Staffing Rules in Urban Teachers Union Contracts. New Teacher Project.

Liu, E. & Johnson, S.M. (2006). New teachers' experiences of hiring: Late, rushed, and information-poor. Educational Administration Quarterly, 42(3): 324-360. doi: 10.1177/0013161X05282610

MacCallum, R.C., Widaman, K.F., Zhang, S. & Hong, S. (1999). Sample size in factor analysis. Psychological methods, 4(1): 84-99. doi: 10.1037/1082-989X.4.1.84

McDonald, R.P. (1999). Test Theory: A Unified Treatment. Mahwah NJ: Erlbaum.

Neuman, W.L. (2006). Social Research Methods: Qualitative and Quantitative Approaches. Boston: Pearson

Nunnally, J.C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.

Rebore, R.W. (2001). Human resources administration in education: A management approach. Allyn and Bacon, A Pearson Education Company, 75 Arlington Street, Boston, MA 02116.

Reed, R. & De Fillippi, R.J. 1990. Causal ambiguity, barriers to imitation, and sustainable competitive advantage. Academy of management review, 15(1), 88-102. doi: 10.5465/AMR.1990.4308277

Riccio, S. (2010). Talent Management in Higher Education: Developing Emerging Leaders within the Administration at Private Colleges and Universities. Lincoln: Doctoral Dissertation.

Ringo, T., Schweyer, A., DeMarco, M., Jones, R. & Lesser, E. (2008). Integrated talent management. IBM Global Business Services, New York.

Rothwell, W.J. (2001). Effective Succession Planning: Ensuring Leadership Continuity and Building Talent from Within, New York, Amacom: New York.

Sivenko, A. (2008). Contemporary Leadership Challenges: Talented Organisation for Talented People. Kalmar: Gradute Thesis Disertation.

Smylie, M.A., Miretzky, D. & Konkol, P. (2004). Rethinking teacher workforce development: A strategic human resource management perspective. Yearbook of the National Society for the Study of Education, 103(1), 34-69. doi: 10.1111/j.1744-7984.2004.tb00030.x

Tabachnick, B.G. & Fidell, L.S. (2007). Using multivariate statistics (5th ed.). Upper Saddle River, NJ: Pearson Allyn and Bacon.

Tabancali, E. & Korumaz, M. (2014). Talent management in educational organizations. The Journal of Academic Social Science Studies, 25(1), 139-156. doi: http://dx.doi.org/10.9761/JASSS2336

Thurstone, L.L. (1947). Multiple factor analysis: A development and expansion of vectors of the mind. Chicago: University of Chicago.

Van de Schoot, R., Lugtig, P. & Hox, J. (2012). A checklist for testing measurement invariance, European Journal of Developmental Psychology, 9(4), 486-492. doi:10.1080/17405629.2012.686740

Weisberg, D., Sexton, S., Mulhern, J., Keeling, D., Schunck, J., Palcisco, A. & Morgan, K. (2009). The widget effect: Our national failure to acknowledge and act on differences in teacher effectiveness. New Teacher Project.

Yamane, T. (1967). Elementary Sampling Theory Prentice Inc. Englewood Cliffs. NS, USA

DOI: http://dx.doi.org/10.46827/ejes.v0i0.1113


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