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Research Article
Simenew Amare
Woldia University
Corresponding Author
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This work is licensed under a CC BY 4.0 License. Read Full License
Background: This study was conducted to assess factors that affect the effectiveness of junior athletics projects in north Wollo zone. The main objective of the study was identifying factors affecting the effectiveness of junior athletics projects in north Wollo zone.
Methods: The study used stratified sampling method to select the samples. Both primary and secondary source of data were used to gather reliable data. Mixed types of research approach (quantitative and qualitative) were employed. To achieve the objective of the study, cross-sectional study designed were employed. The collected data was organized, tabulated, and analyzed using descriptive and inferential method of data analysis.
Results: The results of Proportional Odds Model reveal that training year or duration on the training of the athlete, that are trained between 2.1 to 3 year and 3.1 to 4 years are 0.855 and 0.985 times respectively smaller in performance than those athletes who trained in the project for less than 1 year. The result showed that athletes who haven’t the training field are 0.792 times less in performance than those athletes who have training field. In this study, those athletes who have well, bad and very bad relationship with their coach are 0.707, 0.989 and 0.979 times respectively lower in performance than athletes having very good relationship with their coach. In addition athletes who don’t participate in planning with their coach are 0.849 times lower in performance as compare to those athletes who participate. Those athletes who don’t get payment in the project are 0.952 times low in performance than athletes who get payment.
Conclusion: The study identified factors related to sport offices related, coach related factors, athlete related. Regarding to sport office related factors such as shortage of training equipment and facilities, non-availability of training fields, lack of supervision and follow up for coaches and athletics projects, shortage of competition opportunities for athletes. Among coach related factors inability to prepaid peridized and scientific training plan, lack of providing proper demonstration for athletes, not recruiting the athletes based on talent identification. Considering athlete related factors lack of motivation on athletics sport.
Keywords
junior athletics projects, athletics Coach, junior Athlete, Talent identification, athletics Training, sport training Plan
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A new preprint design is coming!
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research Article
Simenew Amare
Woldia University
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 20 Jan, 2021
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: This study was conducted to assess factors that affect the effectiveness of junior athletics projects in north Wollo zone. The main objective of the study was identifying factors affecting the effectiveness of junior athletics projects in north Wollo zone.
Methods: The study used stratified sampling method to select the samples. Both primary and secondary source of data were used to gather reliable data. Mixed types of research approach (quantitative and qualitative) were employed. To achieve the objective of the study, cross-sectional study designed were employed. The collected data was organized, tabulated, and analyzed using descriptive and inferential method of data analysis.
Results: The results of Proportional Odds Model reveal that training year or duration on the training of the athlete, that are trained between 2.1 to 3 year and 3.1 to 4 years are 0.855 and 0.985 times respectively smaller in performance than those athletes who trained in the project for less than 1 year. The result showed that athletes who haven’t the training field are 0.792 times less in performance than those athletes who have training field. In this study, those athletes who have well, bad and very bad relationship with their coach are 0.707, 0.989 and 0.979 times respectively lower in performance than athletes having very good relationship with their coach. In addition athletes who don’t participate in planning with their coach are 0.849 times lower in performance as compare to those athletes who participate. Those athletes who don’t get payment in the project are 0.952 times low in performance than athletes who get payment.
Conclusion: The study identified factors related to sport offices related, coach related factors, athlete related. Regarding to sport office related factors such as shortage of training equipment and facilities, non-availability of training fields, lack of supervision and follow up for coaches and athletics projects, shortage of competition opportunities for athletes. Among coach related factors inability to prepaid peridized and scientific training plan, lack of providing proper demonstration for athletes, not recruiting the athletes based on talent identification. Considering athlete related factors lack of motivation on athletics sport.
The full text of this article is available to read as a PDF.
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