Decision-making process in olympic martial arts

Automatized assessments of athletes’ cognitive processing in sport advance knowledge. The research aims to examine if decision time (DT) makes a significant difference in martial arts athletes, and whether DT can predict sports performances. Sixty-eight athletes practicing Olympic martial arts took part in the study (Mage = 21.85). Two computerized tests were used (TR and RCMV), developed by the Romanian company RQ Plus, the results being automatically generated. First, ANOVA procedures and Tukey post-hoc test were used to verify the differences considering DT, according to athletes’ sports performances. Next, using the Goodman and Kruskal tau association test the link between athletes’ gender and combat sports athletes’ results for DT was examined. Not least, binomial logistic regression was performed, predicting the likelihood of superior performances in athletes based on decision time. Data analysis revealed that DT is an important predictor of sports performances in Olympic martial arts. Athletes with superior sporting achievements showed faster decision time (I N R/L). Gender-related associations were examined, male athletes obtaining slightly better results for decision time, compared to female athletes. The results could support specialists for a better understanding of the role that the speed of mental processes (identification and selection) plays in martial artists’ sports performance.

Authors

Publication Details

Journal
Journal of Educational Sciences & Psychology
Published
2025-05-15
DOI
https://doi.org/10.51865/jesp.2025.1.21
Primary Topic
Martial Arts: Techniques, Psychology, and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Decision-making process in olympic martial arts

Germina Cosma, Radu Predoiu, Ryszard Makarowski, Alessandro Quartiroli et al.
Journal of Educational Sciences & Psychology
Martial Arts: Techniques, Psychology, and Education
article

Decision-making process in olympic martial arts

Germina Cosma, Radu Predoiu, Ryszard Makarowski, Alessandro Quartiroli, Mihai Ciolacu, Tim Marron, Corina Stancu
article en

Abstract

Automatized assessments of athletes’ cognitive processing in sport advance knowledge. The research aims to examine if decision time (DT) makes a significant difference in martial arts athletes, and whether DT can predict sports performances. Sixty-eight athletes practicing Olympic martial arts took part in the study (Mage = 21.85). Two computerized tests were used (TR and RCMV), developed by the Romanian company RQ Plus, the results being automatically generated. First, ANOVA procedures and Tukey post-hoc test were used to verify the differences considering DT, according to athletes’ sports performances. Next, using the Goodman and Kruskal tau association test the link between athletes’ gender and combat sports athletes’ results for DT was examined. Not least, binomial logistic regression was performed, predicting the likelihood of superior performances in athletes based on decision time. Data analysis revealed that DT is an important predictor of sports performances in Olympic martial arts. Athletes with superior sporting achievements showed faster decision time (I N R/L). Gender-related associations were examined, male athletes obtaining slightly better results for decision time, compared to female athletes. The results could support specialists for a better understanding of the role that the speed of mental processes (identification and selection) plays in martial artists’ sports performance.

Journal of Educational Sciences & PsychologyVol. 15 (76)(2)
Openalex Percentile: Top 89%
Martial Arts: Techniques, Psychology, and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.