The purpose of this study was to assess the impact of coach-athlete relationships on long-distance runners' athlete performance in selected Oromia Athletics clubs. Triangulation design Cross-sectional study design was employed. The population of the study was selected from four clubs. From four clubs 108 athletes’ long-distance events and 17 coaches were totally selected by availability sampling technique. The instrument of data collection used for this study was standard questionnaires and semi-structured interviews. SPSS version 23 was used for the statistical analysis of the data. Descriptive statistics such as percent, and frequency for the demography of athletes and coaches while mean, standard deviation, skewness, and kurtosis were used to analyze the current performance of athletes. Inferential statistics Whereas, linear regression was used to analyze the impact of the 3Cs of coach athlete’s relationship on athlete performance. The average performance of the four club’s female athletes is 32.6944 minutes, the dispersion from the mean is 1.01937, it is (-.117) negatively skewed, and the kurtosis is 0.250, which indicates a distribution that is too flat. The average time of male athletes is 29.72 minutes. SD dispersion from the mean is 1.30705 with skewness of 1.460; and Kurtosis is 3.169, (distribution of mesokurtic).
Table of Contents
1. INTRODUCTION
1.1 Background of the Study
1.2 Statement of the problem
1.3. Research questions
1.4. Objectives of the study
1.4.1 General Objective
1.4.2 Specific objectives
1.5 Significance of the Study
1.6 Delimitation of the Study
1.7. Limitations of the study
1.8 Operational Definition of Term
2. LITERATURE REVIEW
2.1 Concepts of Athletics
2.1.1 Concept of Long-Distance Events
2.2 The Concept of Coach Athlete Relationship
2.3 Long-Distance Coach-Athlete Relationship and Performance
2.4 A Philosophy for Coaching the Distance Events
2.5 Importance of the Good Coach-Athlete Relationship
2.6 Factors affecting performance of long-distance runner
2.6 Successful versus unsuccessful relationships
2.7 Successful athletic performance
2.7.1 Factors contributing to successful athletic performance:
2.8 Developing an Effective Coach Athlete Relationship
2.9 Effective Coaching
2.10 The way of developing coach athlete relationship
2.11 The3 Cs key constructs used to examine coach-athlete relationship
2.12 Conceptual Framework of the Study
3. RESEARCH METHODOLOGY AND PROCEDURE OF THE STUDY
3.1. Description of the Study area
3.4. Source of Data
3.5. Data Collection of Instrument
3.5.1. Questionnaire
3.5.2. Interview
3.6 Procedure of data collection
3.7. Selection of Variables
3.8 Method of data analysis and interpretation
3.9. Ethical Considerations
4. RESULTS AND DISCUSSION
4.1 Result Analyzed
4.1.1 Athlete and Coach Demography
4.1.2 Results compiled from Athletes regarding with CART questionnaires
4.1.2.1 Athlete Performance on 10000m of female and male athletes of selected clubs
4.1.2.2 Coach Athlete Closeness relationship versus athlete performance related linear regression analysis For Female Athletes
4.1.2.3 Commitment of coach athlete relationships versus athlete performance results For Female Athletes (Regression analysis)
4.1.2.4Complementarities of coach athlete (Female) relationships versus athlete performance results (Regression analysis)
4.1.2.5 Coach Athlete Closeness versus Male Athlete Performance Regression Analysis
4.1.2.6 Commitment versus Male Athlete Performance Regression Analysis
4.1.2.7 Complementarities versus Male Athlete Performance Regression Analysis
4.1.2.8 Conclusion of coach athlete relationship impact on performance of female and male athlete
4.2 Discussion
5. Summary, Conclusions and Recommendations
5.1 Summary
5.2. Conclusion
5.3. Recommendation
Research Objectives and Key Topics
The primary aim of this study is to evaluate the influence of the coach-athlete relationship on the athletic performance of long-distance runners in select Oromia Athletics clubs. It examines the correlation between Closeness, Commitment, and Complementarities (the 3Cs) and the performance outcomes of both male and female athletes.
- The impact of coach-athlete closeness on performance.
- The influence of athlete-coach commitment levels on competitive outcomes.
- The effects of complementarities in coach-athlete behavior.
- Comparative analysis of male and female athletic performance and relationship satisfaction.
- Assessment of current training, demographic factors, and coaching methodologies within the selected clubs.
Excerpt from the Book
The Concept of Coach Athlete Relationship
Relationships form a central part of one’s life. Jowett (2007) defined the coach–athlete relationship as all situations in which a coaches and athlete’s feelings, thoughts, and or behaviors are interrelated. Coaches and athletes often form relationships, alliances, or partnerships through which instruction, guidance, and support are provided to the athlete. In reflecting on athletic success, sport directors and managers, the media, and coaches and athletes themselves have directed public attention to the significance of the coach–athlete relationship. Mutual trust, respect, belief, support, cooperation, communication, and understanding are considered among the most important relationship components that contribute to performance success and satisfaction (Jowett &Cockerill, 2003).
An integrated research model that emanates from conceptualization of the coach-athlete relationship is offered as a medium for generating systematic, comprehensive, empirically grounded knowledge for coaches, athletes, parents, practitioners, and policy makers. (Jowett &Poczwardowski A,2007).
Coaches and athletes usually develop typical coach-athlete relationships. A typical relationship is defined as one where coaches and athletes interact face-to-face on a daily or regular basis.
Summary of Chapters
INTRODUCTION: Provides the background and problem statement regarding athletic performance and the critical interpersonal dynamics between coaches and athletes.
LITERATURE REVIEW: Discusses existing concepts of athletics, long-distance performance factors, and the theoretical model of the coach-athlete relationship (3Cs).
RESEARCH METHODOLOGY AND PROCEDURE OF THE STUDY: Details the cross-sectional, triangulation-based research design including data collection instruments like surveys and interviews at selected Oromia clubs.
RESULTS AND DISCUSSION: Presents demographic data and provides a detailed linear regression analysis of how closeness, commitment, and complementarities impact athlete finishing times.
Summary, Conclusions and Recommendations: Synthesizes the core findings and offers actionable advice for coaches, athletes, and the Oromia Athletics Federation to improve performance outcomes.
Keywords
Coaches, Athletes, Relationship, Performance, Long-distance, Oromia, Closeness, Commitment, Complementarities, 3Cs, Training, Regression analysis, Sports Science, Coaching methodologies, Athletic success
Frequently Asked Questions
What is this research primarily about?
This thesis examines the impact of the interpersonal relationship between coaches and long-distance runners on the runners' athletic performance at selected clubs in the Oromia region of Ethiopia.
What are the core research themes?
The study centers on the 3Cs model—closeness, commitment, and complementarities—and how these psychological constructs correlate with the competitive success of athletes in 10,000m running events.
What is the main objective of the study?
The primary objective is to evaluate how specific interpersonal relationship factors significantly influence the physical performance and training progress of athletes.
Which scientific methods were applied?
The researcher employed a cross-sectional study design utilizing triangulation, combining quantitative linear regression analysis (via SPSS 23) with qualitative semi-structured interviews.
What does the main content cover?
The main sections include a detailed literature review on coaching efficacy, a rigorous demographic analysis of athletes and coaches, and comprehensive regression models testing the 3Cs model against real-world athletic performance data.
What keywords define this work?
Key terms include long-distance performance, 3Cs model, coach-athlete relationship, CART-Q, linear regression, coaching efficacy, and Oromia athletics.
How does gender factor into the results?
The study performs separate regression analyses for male and female athletes, highlighting different levels of impact for closeness and commitment, and noting a scarcity of female coaches in the clubs studied.
What is the significance of the 3Cs model here?
The 3Cs model allows the researcher to statistically validate how interpersonal traits—such as trust and respect—can reduce race completion times and foster a more professional environment.
- Quote paper
- Tekalegn Fikadu (Author), 2021, Impact of Coach Athlete Relationship on Performance of Long-Distance Runners in Selected Oromia Athletics Clubs, Munich, GRIN Verlag, https://www.grin.com/document/1334559
