This study examines the relationship between the Big Five personality traits and motivation for sports achieve-ment among youth badminton players. The research aims to identify how personality traits influence athletes’ drive for success and tendency to avoid failure, ultimately shaping their competitive performance. The hypothe-sis envisioned using a descriptive-correlational design to collect data from 51 players based on the use of vali-dated psychological scales such as Big Five Personality Traits Scale and Sports Achievement Motivation Scale. Personality traits were assessed on their effect on achievement motivation using statistical analyses such as Pearson correlation, multiple regression, and ANOVA. The relation between extraversion, openness, and con-scientiousness with achievement drive is found to be positive and neuroticism has negative effect on success motivation and increases in failure avoidance. Pearson’s correlation: Multiple regression analysis again con-firmed that the personality traits account for over 63% of the variance in the achievement motivation, establish-ing their predictive power. The motivation levels of the players with different levels of neuroticism were found to be significantly different with low neuroticism athletes having higher success motivation as shown by the ANOVA test. With these findings, it is hoped that coaches, sports psychologists, and talent development pro-grams will develop personality based motivated strategies that would increase in athletic performance. Future research should address the longitudinal effects of personality and motivation on mental resilience training and external factors of the coach’s style in terms of shaping the motivation of the athlete. Sports professionals inte-grate in psychological assessment in training programs allow them to make interventions with the best combi-nation of motivation and competitive success.
The comparison of double informative priors which are assumed for the reliability function of Pareto type I distribution. To estimate the reliability function of Pareto type I distribution by using Bayes estimation, will be used two different kind of information in the Bayes estimation; two different priors have been selected for the parameter of Pareto type I distribution . Assuming distribution of three double prior’s chi- gamma squared distribution, gamma - erlang distribution, and erlang- exponential distribution as double priors. The results of the derivaties of these estimators under the squared error loss function with two different double priors. Using the simulation technique, to compare the performance for
... Show More