ABSTRACT
Fan aggression is a societal problem that affects many sports clubs worldwide. It should be handled in all dimensions to prevent individual and social aggression in sports environments. The study aims to examine the factors affecting the aggression levels of football fans. The study sample consisted of 909 people, 474 males, and 435 females. In addition to the personal information form, the "Buss-Perry Aggression Questionnaire" and "Football Fanaticism Scale" were used as data collection tools. Pearson Product Moment Correlation Analysis was used to determine the relationships between variables, and Multiple Linear Regression Analysis was used to examine the predictive power of independent variables on aggression. In addition, the Independent Samples T-Test was conducted to compare aggression in terms of gender. The results show that aggression predicts fanaticism positively, team identity, age, and education level negatively. In addition, it was observed that males exhibited high levels of physical and verbal aggression, while the females had high team identities. As a result, it can be said that fanaticism, team identity, age, education level, and gender are the main predictors of aggression (40%). (AU)
La agresión de los fanáticos es un problema social que afecta a muchos clubes deportivos en todo el mundo. Debe ser manejado en todas sus dimensiones para prevenir agresiones individuales y sociales en ambientes deportivos. El estudio tiene como objetivo examinar los factores que afectan los niveles de agresión de los aficionados al fútbol. La muestra del estudio estuvo compuesta por 909 personas, 474 hombres y 435 mujeres. Además del formulario de información personal, se utilizaron como herramientas de recolección de datos el "Cuestionario de agresión de Buss-Perry" y la "Escala de fanatismo por el fútbol". Se utilizó el análisis de correlación producto-momento de Pearson para determinar las relaciones entre las variables, y se utilizó el análisis de regresión lineal múltiple para examinar el poder predictivo de las variables independientes sobre la agresión. Además, se realizó la prueba T de muestras independientes para comparar la agresión en términos de género. Los resultados muestran que la agresión predice positivamente el fanatismo, negativamente la identidad del equipo, la edad y el nivel educativo. Además, se observó que los hombres exhibían altos niveles de agresión física y verbal, mientras que las mujeres tenían altas identidades de equipo. Como resultado, se puede decir que el fanatismo, la identidad del equipo, la edad, el nivel educativo y el género son los principales predictores de agresión (40%). (AU)
Subject(s)
Humans , Soccer , Aggression , Violence , Social Problems , Surveys and Questionnaires , TurkeyABSTRACT
Understanding the psycho-social factors such as communication, empathy, cohesion, etc., that affect successful athletic performance is a high priority and primary focus for applied sports psychology. Detailed examination of the athletes' psycho-social characteristics is essential in revealing which processes play an active role in achieving optimum performance. Developing these features of the athlete can contribute to coordinating the team, sharing tasks, increasing motivation, preparing team members for a change, and improving performance. For this purpose, the mediating role of communication skills in the relationship between empathy, team cohesion, and competition performance was examined in a sample of 241 curlers competing in 69 teams in the Turkish Curling League in the 2021-2022 season. During the data collection process, Personal Information Form, Empathic Tendency Scale, Scale for Effective Communication in Team Sport, and Group Environment Questionnaire were used. Competition performance was calculated by giving 1 point for each match won by the teams in the competitions in which the single-circuit round-robin system is applied. Structural equation modeling was used in data analysis to determine the direct and indirect predictive effects between variables. The study showed that empathy and team cohesion predict competition performance through communication skills, and communication skills fully mediate this relationship. Based on the research results, it was evaluated that communication skills have a substantial effect on the competitive performance of athletes, and this finding was discussed in the context of the literature.
ABSTRACT
The aim of this study is the examination of the effect of virtual reality based imagery (VRBI) training programs on the shot performance and imagery skills of athletes and, and to conduct a comparison with Visual Motor Behavior Rehearsal and Video Modeling (VMBR + VM). In the research, mixed research method and sequential explanatory design were used. In the quantitative dimension of the study the semi-experimental model was used, and in the qualitative dimension the case study design was adopted. The research participants were selected from athletes who were involved in our target sports: curling (n = 14), bowling (n = 13), and archery (n = 7). All participants were randomly assigned to VMBR + VM (n = 11), VRBI (n = 12), and Control (n = 11) groups through the "Research Randomizer" program. The quantitative data of the study was: the weekly shot performance scores of the athletes and the data obtained from the "Movement Imagery Questionnaire-Revised." The qualitative data was obtained from the data collected from the semi-structured interview guide, which was developed by researchers and field experts. According to the results obtained from the study, there were statistically significant differences between the groups in terms of shot performance and imagery skills. VRBI training athletes showed more improvement in the 4-week period than the athletes in the VMBR + VM group, in terms of both shot performance and imagery skills. In addition, the VRBI group adapted to the imagery training earlier than the VMBR + VM group. As a result, it was seen that they showed faster development in shot performances. From these findings, it can be said that VRBI program is more efficient in terms of shot performance and imagery skills than VMBR + VM, which is the most used imaging training model.
