A comparison of time-motion performance between age groups in judo matches

The aim of this study was to compare time-motion indicators during judo matches performed by athletes from different age groups. The following age groups were analysed: Pre-Juvenile (13-14 years, n = 522), Juvenile (15-16 years, n = 353); Junior (19 years, n = 349) and Senior (>20 years, n = 587). The time-motion indicators included: Total Combat Time, Standing Combat Time, Displacement Without Contact, Gripping Time, Groundwork Combat Time and Pause Time. Analysis of variance (ANOVA) one-way and the Tukey test, as well as the Kruskal-Wallis test and Mann-Whitney (for non-parametric data), were conducted, using P < 0.05 as significance level. The results showed that all analysed groups obtained a median of 7 (first quantile - 3, third quantile - 12) sequences of combat/pause cycles. In total time of combat, the result was: for Total Combat Time, Standing Combat Time and Gripping Time: Pre-Juvenile and Senior were significantly longer than Juvenile and Junior. Considering Displacement Without Contact, Junior was significantly longer than all other age groups. For Groundwork Combat Time, Senior was significantly longer than all other age groups and Pre-Juvenile was longer than Junior. These results can be used to improve the physiological performance in intermittent practices, as well as technical-tactical training during judo sessions.     

Complementing subjective with objective data in analysing expertise: A machine-learning approach applied to badminton

ABSTRACT

This study aimed to assess which combination of subjective and empirical data might help to identify the expertise level. A group of 10 expert coaches classified 40 participants in 5 different expertise groups based on the video footage of the rallies. The expertise levels were determined using a typology based on a continuum of 5 conative stages: (1) structural, (2) functional, (3) technical, (4) contextual, and (5) expertise. The video allowed empirical measurement of the duration of the rallies, and tri-axial accelerometers measured the intensity of the player’s involvement. A principal component analysis showed that two dimensions explained 54.9% of the total variance in the data and that conative stage and empirical parameters during rallies (duration, intensity of the game) were correlated with axis 1, whereas duration and acceleration data between rallies were correlated with axis 2. A random forest algorithm showed that among the parameters considered, acceleration, duration of the rallies, and time between rallies could predict conative stages with a prediction accuracy above possibility.

This study suggests that performance analysis benefits from the confrontation of subjective and objective data in order to design training plans according to the expertise level of the participants.     

Religiosity,the headscarf,and education in Turkey: an analysis of 1988 data and current implications

Previous research highlights the continuing relevance of family culture in explaining educational inequalities in Turkey, especially patriarchal beliefs and practices that discourage investment in the education of girls. We extend that research by introducing two much‐debated, but empirically untested, aspects of family culture – parental religiosity and headscarf preferences. An analysis of a nationally representative sample of 15–19 year olds in 1988 shows that while religiosity had no significant effect on educational attainment, children who lived in families whose fathers expected them to wear a headscarf in public had lower educational attainment, especially girls. The large negative headscarf effect suggests that the government ban on headscarves in schools may be an obstacle to eliminating gender inequality in education. The results are discussed in light of recent trends in Turkish society.     

The Relative Efficiency of Departments at a Turkish Engineering College: A Data Envelopment Analysis

In this study, Data Envelopment Analysis is used to measure relative efficiencies of academic departments of an engineering college. Input and output criteria are determined and measured utilizing the academic personnel performance measurement scheme of the College. New measures are developed to compare departments of different disciplines. The discriminating power of the measurement models is improved by restricting criteria weights directly and by using a multiple criteria decision making approach. Sensitivity of the results to exclusion of a criterion and changes in relative importance of the criteria is analyzed. Evaluation of the results jointly by the college administration and the departments is explained for a successful efficiency improvement mechanism.     

The role of perceived classroom goal structures,self-efficacy,and engagement in student science achievement

Background: Numerous studies have been conducted to investigate the factors related to science achievement. In these studies, the classroom goal structure perceptions, engagement, and self-efficacy of the students have emerged as important factors to be examined in relation to students’ science achievement.

Purpose: This study examines the relationships between classroom goal structure perception variables (motivating tasks, autonomy support, and mastery evaluation), engagement (behavioral, emotional, cognitive, and agentic engagement), self-efficacy, and science achievement.

Sample: The study participants included 744 seventh-grade students from 9 public schools in two districts of Gaziantep in Turkey.

Design and methods: Data were collected through the administration of four instruments: Survey of Classroom Goals Structures, Engagement Questionnaire, Motivated Strategies for Learning Questionnaire, and Science Achievement Test. The obtained data were subjected to path analysis to test the proposed model.

Results: Students’ perceptions of classroom goal structures (i.e. motivating tasks, autonomy support, and mastery evaluation) were found to be significant predictors of their self-efficacy. Autonomy support was observed to be positively linked to all aspects of engagement, while motivating tasks were found to be related only to cognitive engagement. In addition, mastery evaluation was shown to be positively linked to engagement variables, except for cognitive engagement, and self-efficacy and engagement (i.e. behavioral, emotional, and cognitive engagement) were observed to be significant predictors of science achievement. Finally, results revealed reciprocal relations among engagement variables, except for agentic engagement.

Conclusions: Students who perceive mastery goal structures tend to show higher levels of engagement and self-efficacy in science classes. The study found that students who have high self-efficacy and who are behaviorally, emotionally, and cognitively engaged are more successful in science classes. Accordingly, it is recommended that science teachers utilize inquiry-based and hands-on science activities in science classes and focus on the personal improvement of the students. Furthermore, it is also recommended that they provide students with opportunities to make their own choices and decisions and to control their own actions in science classes.