Abstract: This study is explored the major psychological factors like personality and anxiety affects short distance athlete’s performance of Hadiya Zone athletics projects. The researcher was used both probability and non-probability sampling technique. Used stratified sampling techniques for athletes and available / census for all coaches and sport experts. The population of the study consisted of athletes (n=83), coaches (n=4) and all sport experts (n=8). The study employed the Cross-sectional survey design. Data were analyzed by both descriptive and inferential statics methods were employed. Personality and anxiety psychological factors were assessed by using the Inventory, standard questionnaire. Athlete’s athletic performance was assessed by document analysis. Descriptive Statistics percentage, standard deviation, mean were used for assessing back ground information, the current anxiety level and influence personality factors. Multiple regression coefficients from inferential statics were used to show the influence of major psychological factors on athlete’s performance. The finding of this study indicates the current anxiety level with aggregate mean (M=3.147) implies moderate, and influence of personality factors on this study with aggregate mean (M=3.142) shows that moderate. And, also athletic anxiety and personality factors on performance of athletes’ multiple regression coefficient results indicates, by 40.1% of variance (R2=.165, F = 8.194, *p <.05) predict athletes’ performance.
Abstract: This study is explored the major psychological factors like personality and anxiety affects short distance athlete’s performance of Hadiya Zone athletics projects. The researcher was used both probability and non-probability sampling technique. Used stratified sampling techniques for athletes and available / census for all coaches and sport experts...Show More
Abstract: The majority of COD execution assessments employ the use of total time as the metric by which COD performance is judged. This study investigated the relationships between CODD time, sprint time, 5-10-5 and jump performance. Performance data of 328 participants of the 2021 NFL Combine (age: 22.35 ± 1.00 years; height: 1.87 ± 0.07m; weight: 108.51 ± 21.61kg) was collected and used for the analysis. CODD correlated to the 5- 10-5 pro-agility (r= 0.69 - 0.71) test but not sprint time (r= 0.15 - 0.27) for both the drafted and undrafted groups. Meanwhile, there was a large to very large association between 5-10-5 proagility time and the sprint variables (r = 0.62 - 0.82) for both drafted and undrafted groups. The correlation between CODD time and momentum was minor (r= 0.26 – 0.28) for both drafted and undrafted groups, but the 5-10-5 pro-agility reported a strong to a very strong association with momentum (r= 0.57 – 0.75). There was an inversely small correlation between CODD time and VJh (r= – 0.27) and BJ (r= -0.25– -0.28) for both drafted and undrafted groups whereas the 5-10-5 pro-agility time reported an inversely large to very large correlation with VJH (r= -0.51 – -0.68) and BJ (r= -0.57 – -0.71) on both groups. The magnitude and impact of the momentum, horizontal jump, and vertical jump of participants on their CODD time indicate that coaches and fitness experts should focus on improving the technical aspects of the COD execution when attempting to improve their CODS.
Abstract: The majority of COD execution assessments employ the use of total time as the metric by which COD performance is judged. This study investigated the relationships between CODD time, sprint time, 5-10-5 and jump performance. Performance data of 328 participants of the 2021 NFL Combine (age: 22.35 ± 1.00 years; height: 1.87 ± 0.07m; weight: 108.51 ± ...Show More