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Volume 24, Issue 149 (7-2025)
Journal of Psychological Science 2025, 24(149): 261-285 |
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Abbasi S, Zamanpour E, Arsham S. (2025). Norming of the Sports Intelligence Measurement Tool in Samples of Athletes and Non-Athletes: Application of Multidimensional Item Response Theory Models. Journal of Psychological Science. 24(149), 261-285.
URL: http://psychologicalscience.ir/article-1-2695-en.html
URL: http://psychologicalscience.ir/article-1-2695-en.html
Assistant Professor, Assessment and Measurement Department, Faculty of Psychology and Educational Sciences, Allameh Tabatabai University, Tehran, Iran , Zamanpour@atu.ac.ir
Abstract: (172 Views)
Background: Sports intelligence plays a critical role as the ability to process and respond effectively to environmental stimuli. Numerous studies have examined the importance of intelligence components in athletic success, yet existing tools only assess limited aspects of sports intelligence and fail to comprehensively measure athletes' multifaceted abilities in dynamic conditions. This research gap highlights the need to design a comprehensive tool capable of multidimensional assessment, offering a more precise understanding of athletes' cognitive and functional capabilities.
Aims: The aim of this study was to analyze the factorial structure and provide norms for the Sports Intelligence Tool among athletes and non-athletes in 2022.
Methods: This descriptive-analytical study utilized an instrument development approach. The statistical population included all athletes and non-athletes aged 16 to 35 in Alborz Province, from whom a sample of 624 participants was selected using convenience sampling. In addition to the Sports Intelligence Tool, the Cattell Intelligence Test (1961) was also used. For statistical analysis, multidimensional item response theory models, stratified alpha, Cronbach's alpha, percentile ranks, and T-scores were employed, with data analyzed through SPSS version 27 and R version 4.0.2.
Results: The results of the instrument's validity assessment using multidimensional item response theory models confirmed five factors for the Sports Intelligence Tool. Additionally, significant positive correlations were found between each dimension of the Sports Intelligence Tool and the Cattell Intelligence Test (p<0.05), indicating strong criterion validity. The reliability of the Sports Intelligence Tool, calculated using Cronbach's alpha for each of the five factors, exceeded 0.6, which is considered satisfactory and acceptable.
Conclusion: Based on the present study’s findings and the importance of evaluating sports intelligence, especially among adolescent athletes, it can be concluded that the Sports Intelligence Tool is an appropriate and reliable instrument for assessing sports intelligence in individuals aged 16 to 35. The provided norms allow for individual status assessment within the population. Therefore, it is recommended to use this tool to measure sports intelligence and, based on its findings, to address educational needs.
Aims: The aim of this study was to analyze the factorial structure and provide norms for the Sports Intelligence Tool among athletes and non-athletes in 2022.
Methods: This descriptive-analytical study utilized an instrument development approach. The statistical population included all athletes and non-athletes aged 16 to 35 in Alborz Province, from whom a sample of 624 participants was selected using convenience sampling. In addition to the Sports Intelligence Tool, the Cattell Intelligence Test (1961) was also used. For statistical analysis, multidimensional item response theory models, stratified alpha, Cronbach's alpha, percentile ranks, and T-scores were employed, with data analyzed through SPSS version 27 and R version 4.0.2.
Results: The results of the instrument's validity assessment using multidimensional item response theory models confirmed five factors for the Sports Intelligence Tool. Additionally, significant positive correlations were found between each dimension of the Sports Intelligence Tool and the Cattell Intelligence Test (p<0.05), indicating strong criterion validity. The reliability of the Sports Intelligence Tool, calculated using Cronbach's alpha for each of the five factors, exceeded 0.6, which is considered satisfactory and acceptable.
Conclusion: Based on the present study’s findings and the importance of evaluating sports intelligence, especially among adolescent athletes, it can be concluded that the Sports Intelligence Tool is an appropriate and reliable instrument for assessing sports intelligence in individuals aged 16 to 35. The provided norms allow for individual status assessment within the population. Therefore, it is recommended to use this tool to measure sports intelligence and, based on its findings, to address educational needs.
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This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) License. |
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)