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Statistical Analysis on Factors That Hinders the Effectiveness of Junior Athletics Projects in North Wollo Zone, Ethiopia
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Abstract
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.
Title: Statistical Analysis on Factors That Hinders the Effectiveness of Junior Athletics Projects in North Wollo Zone, Ethiopia
Description:
Abstract
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.
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