Ali Zarei Beidsorkhi; Loghman Keshavarz; Abolfazl Farahani
Abstract
parameters. The research method was exploratory mixed (qualitative-quantitative). Statistical sample of research in qualitative part (purposive sampling) to theoretical saturation of data consisted of 21 top level coaches, basketball experts and talent specialists and in quantitative section (random) ...
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parameters. The research method was exploratory mixed (qualitative-quantitative). Statistical sample of research in qualitative part (purposive sampling) to theoretical saturation of data consisted of 21 top level coaches, basketball experts and talent specialists and in quantitative section (random) 242 international basketball coaches ( FIBA (n = 7), Grade 1 (n = 60) and Grade 2 (n = 175), respectively. In-depth interviews and researcher-made questionnaires were used for data collection. The validity and reliability of the interviews and questionnaires were evaluated and verified using expert opinion, two coders' agreement, convergent validity, Cronbach's alpha, and hybrid reliability. Coding and categorization were used to draw conclusions about the content of the interviews. As a result of the initial analysis of the interviews, 10 categories, 30 subcategories and 101 key concepts were extracted from the transcripts through open coding of the interviews and finally resulted in a conceptual model with 9 categories and 33 subcategories. Testing of talent parameters in basketball derived from interview analysis using second-order confirmatory factor analysis showed physiological (β = 0.79) and psychological (β = 0.49) parameters. Also, the conceptual model test using structural equation modeling showed that among the constructs derived from the qualitative sector in terms of culture (β = 0.35, P = 0.01), talent centers (β = 0.23). , P = 0.02, economic status (β = 0.22, P = 0.02), and management (P = 0.03, β = 0.13) had the greatest role in talent scoring in basketball.
Abbas Fakhrani; Hasan Gharayagh Zandi; Mohsen Abbasi
Volume 4, Issue 2 , July 2017, , Pages 89-99
Abstract
This study was examine relationship between Psychological factors of Human Capital and Organizational Agility in North Khorasan Administration of Sport and Youth. Statistical population was 105 person that all of them were selected as statistical sample. The research instrument was organizational agility ...
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This study was examine relationship between Psychological factors of Human Capital and Organizational Agility in North Khorasan Administration of Sport and Youth. Statistical population was 105 person that all of them were selected as statistical sample. The research instrument was organizational agility questionnaire from Sharifi and Zhang (2001) and human capital assessment scale of Naderi (2011). Their reliability with 30 questionnaires distributed prior to the implementation of research by using Cronbach's alpha (human capital α=0.8954 and organizational agility α = 0.812) obtained and validity of questionnaires confirmed by 12 experts. For data analysis, descriptive statistics (mean, standard deviation and percent) and inferential statistics (k-s tests, one-sample t-test, pearson coefficient of correlation and stepwise multiple regression) used. Results showed: the status of Psychological factors of Human capital in North Khorasan Administration of Sport and Youth was upper than average (mean=3.443). Organizational agility status was upper than average (mean=3.421). there was significant and positive correlation between total index of human capital and organizational agility (r= 0.645). Stepwise multiple regression analysis showed that components of human capital, cognitive skill with coefficient (R=0.457) and meta-cognitive competences (R=0.510) can predict organizational agility. So we can conclude that whatever human capital of personnel be more we can see more organizatinal agility.
