Determining the Internal Reliability of a Comprehensive Talent Identification Model Based on the SHAHAK Plan and the Renzulli Scale in Male Students
DOI:
https://doi.org/10.61838/3rn0x847Keywords:
Talent Identification, SHAHAK Plan, Renzulli Scale, Gifted Students, Psychometric Properties, Secondary School StudentsAbstract
Purpose: The present study aimed to determine the internal reliability of the Comprehensive Talent Identification Model based on the SHAHAK Plan and the Renzulli Scale among male secondary school students in Tehran.
Methods and Materials: This applied descriptive-survey study was conducted using a field research design during the 2025–2026 academic year. The statistical population consisted of all male students enrolled in upper secondary schools in District 5 of Tehran. Using convenience sampling and based on Morgan’s sample size recommendations, 385 students were selected for the final analysis. Data were collected using the Comprehensive Talent Identification Questionnaire derived from the Renzulli Scales for Rating the Behavioral Characteristics of Superior Students. The instrument consisted of 126 items distributed across fourteen dimensions, including learning, creativity, motivation, leadership, art, music, drama, communication accuracy, communication expression, planning, mathematics, reading, technology, and science. Following translation and cultural adaptation procedures, the questionnaire was administered through teacher ratings. Data were analyzed using SPSS version 25. Descriptive statistics were calculated, and inferential analyses included the Kolmogorov–Smirnov test, Kaiser–Meyer–Olkin (KMO) measure, Bartlett’s Test of Sphericity, and Cronbach’s alpha coefficient to evaluate internal reliability.
Findings: Cronbach’s alpha coefficients for the fourteen dimensions ranged from 0.822 to 0.965, all exceeding the acceptable threshold of 0.70. The highest reliability coefficient was obtained for Motivational Characteristics (α = 0.965), whereas the lowest was observed for Communication Expression (α = 0.822). The overall questionnaire achieved an exceptionally high Cronbach’s alpha coefficient of 0.989, indicating outstanding internal consistency.
Conclusion: The consistently high reliability coefficients across all dimensions demonstrate that the instrument is a dependable and psychometrically sound tool for identifying diverse domains of student talent and can be effectively utilized in educational assessment, talent development, and academic guidance programs.
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References
Al-Momani, H., & Al-Oweidi, A. (2020). The Psychometric Characteristics of the Renzulli Scale of Behavioral Characteristics in the Detection of Gifted Students in the Age Group (12-18) in Jordan. Journal for the Education of Gifted Young Scientists, 8(1), 105-132. https://doi.org/10.17478/jegys.656673
Bakhtiari Ramezani, G., Saheb al-Zamani, M., & Niknami, M. (2020). Presenting a Model for Discovering and Supporting Talents of Lower-Secondary Students in Deprived Areas: A Study of Education Districts in Tehran Province. Education in Law Enforcement Sciences, 8(29), 241-260.
Bakhtiari Ramezani, G., Saheb al-Zamani, M., & Niknami, M. (2022). Identifying the Dimensions, Components, and Influential Factors in Discovering and Supporting Talents of Lower-Secondary Students in Deprived Areas. Sociology of Education, 8(2), 167-176.
Fadhili, I., Indonesia, Y., & Nugroho, S. (2024). Development of Website-Based Scoring Talent Identification for Athletics. International Journal of Multidisciplinary Research and Analysis, 7(3). https://doi.org/10.47191/ijmra/v7-i03-37
Hou, J., Michaud, C., Li, Z., Dong, Z., Sun, B., Zhang, J., Cao, D., Wan, X., Zeng, C., Wei, B., Tao, L., Li, X., Wang, W., Lu, Y., Xia, X., Guo, G., Zhang, Z., Cao, Y., Guan, Y., . . . Chen, L. (2014). Transformation of the Education of Health Professionals in China: Progress and Challenges. Lancet, 384(9945), 819-827. https://doi.org/10.1016/S0140-6736(14)61307-6
Kuznetsova, E., Liashenko, A., Zhozhikashvili, N., & Arsalidou, M. (2024). Giftedness Identification and Cognitive, Physiological and Psychological Characteristics of Gifted Children: A Systematic Review. Frontiers in psychology, 15, 1411981. https://doi.org/10.3389/fpsyg.2024.1411981
Mendes, D., Travassos, B., Carmo, J. M., Cardoso, F., Costa, I., & Sarmento, H. (2022). Talent Identification and Development in Male Futsal: A Systematic Review. International journal of environmental research and public health, 19(17), 10648. https://doi.org/10.3390/ijerph191710648
Mousa, M., Massoud, H. K., Ayoubi, R. M., & Murtaza, G. (2021). Why Him Not ME? Inclusive/Exclusive Talent Identification in Academic Public Context. International Journal of Public Administration, 45(10), 747-759. https://doi.org/10.1080/01900692.2021.1887217
Rahmani Barouji, P., Ezati, M., Pourkarimi, J., & Arjmandnia, A. A. (2024). Presenting a Comprehensive Conceptual Model to Identify the Talents of Students: A Meta-Synthesis Study. Journal of New Approaches in Educational Administration. https://doi.org/10.30495/jedu.2024.33427.6714
Rajabian Dehzireh, M., Moradi, R., & Taheri, H. (2025). Developing the Components and Elements and Determining the Validity of the Talent Identification and Academic Guidance Model for Students in Alborz Schools. Applied Educational Leadership, 6(1), 171-191.
Renzulli, J. (2021). Scales for Rating the Behavioral Characteristics of Superior Students: Technical and Administration Manual. Routledge. https://doi.org/10.4324/9781003237808
Renzulli, J. S., & Reis, S. M. (2021). The Schoolwide Enrichment Model: A How-to Guide for Talent Development. Routledge. https://doi.org/10.4324/9781003238904
Reyaz, N., Khan, N. J., Ahamad, G., & Naseem, M. (2022). Machine Learning in Sports Talent Identification: A Systematic Review.
Samiei, F. (2017). Career Aspirations from Dream to Reality: Development, Interpretation, and Application of Gottfredson's Theory. University of Isfahan Press.
Schlichter, C. H. (2023). Talents Unlimited: Thinking Skills Instruction for All Students. In Systems and Models for Developing Programs for the Gifted and Talented (pp. 433-455). Routledge. https://doi.org/10.4324/9781003419426-17
Shaheen, H. R. A. (2025). The Impact of Early Giftedness Identification on Long-Term Academic Success: A Cross-Sectional Study in King Abdullah II Schools for Excellence in Jordan. Frontiers in Education, 10, 1594727. https://doi.org/10.3389/feduc.2025.1594727
Simwanza, A., & Paul, A. (2023). Models for Youth Sports Talent Identification and Development: An Integrative Review of Research. Gifted and Talented International, 38(2), 164-176. https://doi.org/10.1080/15332276.2023.2245857
Vora, D., & Kainzbauer, A. (2020). Humanistic Leadership in Thailand: A Mix of Indigenous and Global Aspects Using a Cross-Cultural Perspective. Cross Cultural & Strategic Management, 27(4), 665-687. https://doi.org/10.1108/CCSM-01-2020-0008
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Copyright (c) 2025 Farhang Fereidouni (Author); Ahmad Souri; Aboutaleb Seadatee Shamir (Author)

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