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-roman wrestlers by computer testing. Hum Movement, 2012; 13(4): 323 - 329 Ljach V, Witkowski Z, Gutnik B, Samovarov A, Nash D. Toward effective forecast of professionally important sensorimotor cognitive abilities of young soccer players. Percept Motor Skill, 2012; 114(2): 485-506 Loffing F, Hagemann N. Skill differences in visual anticipation of type of throw in team-handball penalties. Psychol Sport Exerc, 2014; 15: 260-267 McPherson SL. The development of sport expertise - mapping the tactical domain. Quest, 1994; 46: 223-240 Reilly T, Williams AM, Nevill A, Franks A. A


The aim of this paper is to ascertain the correlation between selected cognitive abilities, age and performance of judokas according to ranking. The study group consisted of judokas in the age group 18 ± 2.4 years. The Stroop Color-Word Test - Victoria Version (VST) was the instrument used to determine the level of cognitive abilities. The data obtained were measured by the Pearson Correlation (r) correlation test. The results of the study show an associative relationship of indirect correlation (p < 0.01) between age and all of the three categories of the Stroop test. This is an indirect correlation, so the higher the age, the lower the time (better performance) of the probands in the Stroop test. There was no statistically significant correlation between performance in the categories of the Stroop test and rankings. The outcomes show that the level of selected cognitive abilities depends on age, but the level of the selected cognitive abilities does not affect the ranking of the judokas.

References Beaty, Roger E. –Paul J. Silvia. 2013. Metaphorically speaking: Cognitive abilities and the production of figurative language. Memory and Cognition 41(2): 255–267. Camp, Elisabeth. 2009. Two varieties of literary imagination: Metaphor, fiction, and thought experiments. Midwest Studies in Philosophy 33: 107–130. Carriedo, Nuria Antonio Corral–Pedro R. Montoro–Laura Herrero–Patricia Ballestrino–Iraia Sebastián. 2016. The development of metaphor comprehension and its relationship with relational verbal reasoning and executive function. PLOS ONE 11

Journal of Finance , No. 56 (3), pp. 921–965. Duttle, K., Inukai, K. (2015), Complexity aversion: influences of cognitive abilities, culture and system of thought, Economic Bulletin , No. 35 (2), pp. 846–855. Englich, B., Mussweiler, T. (2001), Sentencing under uncertainty: anchoring effects in the courtroom, Journal of Applied Social Psychology , No. 31, pp. 1535–1551. Englich, B., Mussweiler, T., Strack, F. (2006), Playing dice with criminal sentences: the influence of irrelevant anchors on experts’ judicial decision making, Personality and Social Psychology

) Effects of acute physical exercise characteristics on cognitive performance. Sports Med., 32(9): 555-566. 6. Drid P., Bala G., Obadov S. (2010) The differences in motor and cognitive abilities between the more and less successful 12–14 years old judokas. Archives of BUDO, 6(2): 95-100. 7. Drid P., Maksimovic N., Matic R., Obradovic B., Milosevic Z., Ostojic S.M. (2009) Fitness profiles of elite female judokas of the Serbian national team. Medicina dello Sport, 62(3): 251-263. 8. Fleck S. J., Kraemer W. (2014) Designing Resistance Training Programs, 4E. Human Kinetics

possesses good validity and sensitivity in detection of even the slightest impairments in function of the arm ( 28 , 29 ) and was, therefore, chosen to assess manual dexterity, and it represents a good measure of defining the degree of dysfunction of upper extremities. The 25 FWT evaluates the function of lower extremities and gait and is a good instrument for the assessment of gait in MS patients ( 30 ). Cognitive abilities were assessed using two instruments. The Audio Recorded Cognitive Screen (ARCS) ( 31 ) is a screening instrument used to detect cognitive impairment

function in old age: A brief review. Journal of Sport and Health Science, 2, 215-226. Schaie, K. W. (1994). The course of adult intellectual development. American Psychologist, 49, 304-313. Schaie, K. W., & Willis, S. L. (2010). The Seattle Longitudinal Study of adult cognitive development. ISSBD Bulletin, 1(57), 1-10. Smart, E. L., Gow, A. J., & Deary, I. J. (2014). Occupational complexity and lifetime cognitive abilities. Neurology, 83(24), 2285-2291. Sturman, M. C. (2003). Searching for the inverted U-shaped relationship between time and performance: Meta-analyses of


In this study, the existence of reading difficulties (RD) among young adults and the relation between RD, cognitive abilities and length of service period were examined. The aim was to study the manifestation of reading difficulties with young adult males, the connection between different cognitive abilities and reading comprehension and decoding skills, and to determine whether the membership of different reading skills groups was related to the length of the service period, which is partly dependent on the scores of cognitive assessment in military service, Basic Test 1. The participants in this study (N=1399) were Finnish adolescents (mean age 20 years, sd .61) participating in compulsory military service. Every Finnish male citizen is obligated to undergo military service and because RD is more common in males than females, warfare becomes more technological and military training is increasingly based on written material that requires reading skills, it is very reasonable to study RD with persons in military service. Results showed that reading difficulties persist into adulthood, but some regional differences were found, and reading difficulties (especially decoding difficulties) had only a minor direct connection to the length of the service period.

. (2002). Dynamic Testing: The nature and measurement of learning potential. Cambridge: Cambridge University Press. Stevenson C. E. (2012). Puzzling with potential. Dynamic testing of analogical reasoning in children (Doctoral dissertation, Leiden University). Amsterdam, the Netherlands: Ipskamp Drukkerij. Swanson, H. L., & Lussier, C. M. (2001). A selective synthesis of the experimental literature on dynamic assessment. Review of Educational Research, 71(2), 321-363. Taub, G., Floyd, R. G., Keith, T. Z., & McGrew, K. S. (2008). Effects of general and broad cognitive

. Working Paper . Campitelli, G., Gerrans, P. (2014) Does the cognitive reflection test measure cognitive reflection? A mathematical modeling approach, Memory & Cognition, 42(3), 434–47 Campitelli, G., Labollita, M. (2010) Correlations of cognitive reflection with judgments and choices, Judgment and Decision Making, Vol. 5, No. 3, June 2010, pp. 182–191 Cokely, E. T., Kelley, C. M. (2009) Cognitive abilities and superior decision making under risk: A protocol analysis and process model evaluation, Judgment and Decision Making 4(1), 20–33. Evans, J., Curtis-Holmes, J