Dynamics of Athletic Leadership and Coaching Strategies Towards a Proposed Model in Taguig City and Pateros Division

Abstract

This study delves into the traits and strategies of performing coaches in the Division of Taguig City and Pateros, employing Quantitative Correlations as the primary method. This approach was selected for its efficiency in obtaining precise, cost-effective statistical results from a manageable sample size, effectively reflecting the overall population. Data were collected using a structured survey administered to selected respondents, facilitating the acquisition of quantitative data. The descriptive survey research extended beyond data collection and tabulation to interpret the results’ meaning and relevance. The study’s emphasis was on understanding the traits and strategies employed by coaches, aiming to obtain statistical results and express information numerically. Utilizing the Raosoft sampling technique ensured that the sample size of 100 coaches was representative of the larger population. This method provided a solid foundation for comprehensive data analysis, computing mean scores and standard deviations to gain insights into the overall performance and variability of responses concerning personality dynamics in athletic leadership. The findings offer a robust and comprehensive analysis of various aspects of coaching and leadership in athletics. The study highlights moderate utilization of coaching strategies related to transformational and transactional leadership, trust and communication, and team dynamics, suggesting that while coaches are aware of these approaches, they have yet to maximize their application fully. This presents an opportunity for further training and development. The evaluation of leadership styles—autocratic, democratic, goal-oriented, participative, and laissez-faire—reveals that each has unique strengths and is appreciated by athletes for different reasons, emphasizing the importance of adaptive leadership to cater to diverse team needs. Demographic variables such as age, sex, education, and coaching experience were found to influence various coaching strategies differently. For example, transformational leadership, trust, and communication strategies were significantly impacted by these factors, indicating that coaches adapt their approaches based on their profiles. Conversely, transactional leadership remained stable across demographics, while team dynamics and athlete motivation strategies were shaped by factors such as age and education. Recommendations for future research include increasing the representation of middle-aged individuals and achieving a balanced gender ratio. Coaches are encouraged to adopt diverse leadership approaches, combining elements from different styles to address athletes' needs effectively. Training and workshops focusing on demographic influences and adaptive leadership should be integrated into athletic program development.