Sains Malaysiana 53(10)(2024): 3521-3534

http://doi.org/10.17576/jsm-2024-5310-24

 

Penilaian Instrumen Pengukuran Strategi Pengurusan Bakat (MyBakat) menggunakan Analisis Model Rasch

(Assessment of Talent Management Strategy Measurement Instrument (MyBakat) using Rasch Model Analysis)

 

Mohammad Fairuz Bin Mohd Nasir*, Nur Riza Binti Mohd Suradi & Wan Rosmanira Binti Ismail

 

Jabatan Sains dan Matematik, Fakulti Sains dan Teknologi, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia

 

Received: 4 January 2024/Accepted: 12 August 2024

 

Abstrak

Suatu kajian telah dilaksanakan bagi menilai kesahan dan kebolehpercayaan Instrumen Pengukuran Strategi Pengurusan Bakat (MyBakat) dalam sektor awam di Malaysia menggunakan kaedah analisis model Rasch. Kajian ini melibatkan 100 responden yang terdiri daripada pegawai awam persekutuan daripada kategori Pengurusan dan Profesional Gred 41 sehingga Gred 54. Indeks kesahan kandungan adalah 1.00 yang menunjukkan instrumen ini sesuai digunakan. Seterusnya, sepuluh jenis pengukuran analisis model Rasch telah digunakan untuk menilai instrumen MyBakat. Analisis individu menunjukkan sejumlah 42 responden  digugurkan dan hanya 58 responden sahaja yang diterima dan dianalisis bersama 25 item dalam MyBakat. Manakala, analisis item pula menunjukkan dua item digugurkan iaitu item Q5 bagi konstruk Pemerolehan Bakat dan Q24 bagi konstruk Pengekalan Bakat. Hasil kajian mencadangkan instrumen MyBakat dengan 23 item sebagai instrumen yang jitu, sah dan boleh dipercayai bagi mengukur strategi pengurusan bakat dalam sektor awam.

Kata kunci: Indeks kesahan; kesahan dan kebolehpercayaan; Strategi Pengurusan Bakat

 

Abstract

A study was conducted to assess the validity and reliability of the Talent Management Strategy Measurement Instrument (MyBakat) in the public sector in Malaysia using the Rasch model analysis method. This study involved 100 respondents consisting of federal public officials from the Management and Professional category Grade 41 to Grade 54. The content validity index is 1.00 which shows that this instrument is suitable for use. Ten types of Rasch model analysis measurements were used to evaluate the MyBakat instrument. Individual analysis showed that a total of 42 respondents were dropped and only 58 respondents were accepted and analyzed together with 25 items in MyBakat. Meanwhile, item analysis shows that two items was dropped, namely item Q5 for the Talent Acquisition construct and Q24 for the Talent Retention construct. The results of the study propose MyBakat with 23 items as a precise, valid and reliable instrument to measure talent management strategies in the public sector.

 

Keywords: Talent Management Strategy; validity and reliability; validity index

 

REFERENCES

Akbari, R. & Yazdanmehr, E. 2014. A critical analysis of the selection criteria of expert teachers in ELT. Theory and Practice in Language Studies 4(8): 1653-1658.

Alagumalai, S., Curtis, D.D. & Hungi, N. 2005. Applied Rasch Measurement: A Book of Exemplars. Dordrecht, The Netherlands: Springer.

Al Ariss, A., Cascio, W.F. & Paauwe, J. 2014. Talent management: Current theories and future research directions. Journal of World Business 49(2): 173-179.

Awang, P. 2015. SEM Made Simple: A Gentle Approach to Learning Structural Equation Modeling. Bangi: MPWS Rich Publication.

Aziz, A.A., Masodi, M.S. & Zaharim, A. 2013. Asas Model Pengukuran Rasch: Pembentukan Skala dan Struktur Pengukuran. Bangi: Penerbit Universiti Kebangsaan Malaysia.

Behera, R. & Mohapatra, A.D. 2020. Talent retention strategy in the Indian it industry: A review based study. Journal of Critical Reviews 7(14): 1568-1577.

Bolander, P., Werr, A. & Asplund, K. 2017. The practice of talent management: A framework and typology. Personnel Review 46(8): 1523-1551.

Bond, T.G. & Fox, C.M. 2007. Applying the Rasch Model: Fundamental Measurement in the Human Sciences. 2nd edition. Lawrence Erlbaum.

Boone, W.J., Staver, J.R. & Yale, M.S. 2014. Rasch Analysis in the Human Sciences. Netherlands: Springer.

Crowley-Henry, M., Benson, E.T. & Al Ariss, A. 2019. Linking talent management to       traditional and boundaryless career orientations: Research propositions and future directions. European Management Review 16(1): 5-19.

Dimopoulos, D.I. & Pantis, J.D. 2003. Knowledge and attitudes regarding sea turtles in elementary students on Zakynthos, Greece. The Journal of Environmental Education 34(3): 30-38.

Fisher, W.P.J. 2007. Rating scale instrument quality criteria. Rasch Measurement Transaction 21(1): 1095.

Fornell, C. & Larcker, D.F. 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18(1): 39-50.

Ghandi, P.S. 2012. Calculating and interpreting reliability esti- mates for achievement test in graph theory (a modern branch of mathematics). International Indexed & Referred Research Journal 5: 36-38.

Hair, J.F., Howard, M.C. & Nitzl, C. 2020. Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research 109: 101-110.

Hu, L‐T. & Bentler, P.M. 1999. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal 6(1): 1-55.

Jayaraman, S., Talib, P. & Khan, A.F. 2018. Integrated talent management scale: Construction and initial validation. SAGE Open 8(3) https://doi.org/10.1177/2158244018780965

Linacre, J.M. 2002. What do infit, outfit, mean-square and standardise mean? Rasch Measurement Transactions 16: 878.

Linacre, J.M. 1994. Sample size and item calibration stability. Rasch Measurement Transactions 7(4): 328.

Luna-Arocas, R. & Morley, M.J. 2015. Talent management, talent mindset competency and job performance: The mediating role of job satisfaction. European Journal of International Management 9: 28.

Lynn, M.R. 1986. Determination and quantification of content validity. Nursing Research35: 382-385.

Mujtaba, M. & Mubarik, M.S. 2022. Talent management and organizational sustainability: Role of sustainable behaviour. The International Journal of Organizational Analysis 30(2): 389-407.

Meyers, M.C. & Van Woerkom, M. 2014. The influence of underlying philosophies on talent management: Theory, implications for practice, and research agenda. Journal of World Business 49(2): 192-203.

Pallant, J.F. & Tennant, A. 2007. An introduction to the Rasch measurement model: An example using the hospital anxiety and depression scale (HADS). British Journal of Clinical Psychology 46(1): 1-18.

Salzberger, T. 2000. An alternative way of establishing measurement in marketing research-its implications for scale development and validity. ANZMAC 2000 Visionary Marketing for the 21st Century: Facing the Challenge. Griffith University, School of Marketing and Management. hlm. 1111-1117.

Schiemann, W.A. 2014. From talent management to talent optimization. Journal of World Business 49(2): 281-288.

Shea, T., Cooper, B.K., De Cieri, H. & Sheehan, C. 2012. Evaluation of a perceived organisational performance scale using Rasch model analysis. Australian Journal of Management 37(3): 507-522.

Sheehan, M. & Anderson, V. 2015. Talent management and organizational diversity: A call for research. Human Resource Development Quarterly 26(4): 349-358.

Smith, E.V., Conrad, K.M., Chang, K. & Piazza, J. 2002. An introduction to Rasch measurement for scale development and person assessment. Journal of Nursing Measurement 10(3): 189-206.

Son, J., Park, O., Bae, J. & Ok, C. 2020. Double-edged effect of talent management on organizational performance: The moderating role of HRM investment. International Journal of Human Resource Management 31(17): 2188-2216

Sparrow, P.R. & Makram, H. 2015. What is the value of management? Building value-driven processes within a talent management architecture. Human Resource Management Review 25(3): 249-263.

Turner, P. 2017. Talent Management in Healthcare: Exploring How the World’s Health Service Organizations Attract, Manage and Develop Talent. London: Palgrave Macmillan.

Tymon, W.G., Stumpf, S.A. & Doh, J.P. 2010. Exploring talent management in India: The neglected role of intrinsic rewards. Journal of World Business 45(2): 109-121.

Vaiman, V., Scullion, H. & Colllings, D. 2012. Talent management decision making. Management Decision 50(5): 925-941.

Wright, B.E., Linacre, M., Gustafsson, J.E. & Martin-Loff, P. 1994. Reasonable mean-square fit values. Rasch Measurement Transactions 8(3): 370.

Yogalakshmi, J.A. & Supriya, M. 2020. Talent quotient: Development and validation of a measurement scale. Journal of Management Development 39(3): 306-323.  

 

*Corresponding author; email: P119294@siswa.ukm.edu.my