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.
Rezvan Shirali; Abdolrahman Mehdipour; Tahereh Azmsha
Volume 3, Issue 3 , September 2016, , Pages 11-18
Abstract
This study aimed to investigate the effect of exercise on group cohesion ethics basketball and women's futsal teams took place in Ahwaz. This is the objective. The study population included all women's teams for basketball and football athlete of the city of Ahwaz. See, for example, the study of which ...
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This study aimed to investigate the effect of exercise on group cohesion ethics basketball and women's futsal teams took place in Ahwaz. This is the objective. The study population included all women's teams for basketball and football athlete of the city of Ahwaz. See, for example, the study of which 118 cases were identified. In order to collect data from three questionnaires to measure individual Aslaat Sports Ethics Questionnaire (ITCSQ) by Dyvdsvn et al (2006) was written. In addition to sports teams measure group cohesion questionnaire and Bravly Wade Meyer (1985) based on cognitive model of Caron (1982) was used. Analytics data collected for the Pearson correlation test using spss software and structural equations approach using AMOS software to check and test the research hypotheses were examined. The results showed a commitment to ethical values with a correlation coefficient 0/25 direct and positive relationship with group cohesion sports teams there. Structural equation modeling results showed that athletes with coefficient values Route 0/89 and the critical ratio (CR) 3/69 Tasyrdard on group cohesion.
