No spatial advantage in adolescent hockey players? Exploring measure specificity and masked effects

The study examines how intensive hockey training is linked with spatial ability and academic performance. Participants were hockey players from top junior teams (N = 225, mean age = 14.25, all boys) and their un- selected peers (N = 278, mean age = 15.47, all boys). Compared to the unselected group, hockey players showed lower results in 10 small-scale spatial tests (Cohen's d ranging from 0.42 to 1.04), Raven's Progressive Matrices (d = 0.41), and 12 school subjects (d for the sum of grades = 1.17). The differences in spatial ability remained significant after controlling for Raven's (d varying from 0.26 to 1.03). The absence of spatial advantage in athletes suggests that effects of sports on cognition are complex: spatial ability facet-specific, sport-specific, professional and intensity level-specific. Moreover, these effects might be confounded by differences in academic engagement, investment of effort and psychological and physiological effects of intensive sports engagement

The Jack and Jill Adaptive Working Memory Task: Construction, Calibration and Validation

Visuospatial working memory (VSWM) is essential to human cognitive abilities and is associated with important life outcomes such as academic performance. Recently, a number of reliable measures of VSWM have been developed to help understand psychological processes and for practical use in education. We sought to extend this work using Item Response Theory (IRT) and Computerised Adaptive Testing (CAT) frameworks to construct, calibrate and validate a new adaptive, computerised, and open-source VSWM test. We aimed to overcome the limitations of previous instruments and provide researchers with a valid and freely available VSWM measurement tool. The Jack and Jill (JaJ) VSWM task was constructed using explanatory item response modelling of data from a sample of the general adult population (Study 1, N = 244) in the UK and US. Subsequently, a static version of the task was tested for validity and reliability using a sample of adults from the UK and Australia (Study 2, N = 148) and a sample of Russian adolescents (Study 3, N = 263). Finally, the adaptive version of the JaJ task was implemented on the basis of the underlying IRT model and evaluated with another sample of Russian adolescents (Study 4, N = 239). JaJ showed sufficient internal consistency and concurrent validity as indicated by significant and substantial correlations with established measures of working memory, spatial ability, non-verbal intelligence, and academic achievement. The findings suggest that JaJ is an efficient and reliable measure of VSWM from adolescent to adult age

Perceived communication quality in face-to-face and computer-mediated meetings and its objective assessment using oxytocin and mimic markers

The project is aimed at studying the quality of emotional contact and the psycho-emotional state of a person through the prism of the influence of modern communication technologies

Personality and engagement with music: Results from network modeling in three adolescent samples

People who engage in musical activities may, on average, share certain personality features. For example, performing music in front of audiences may require greater extraversion. In contrast, long and solitary practice sessions may require greater introversion and conscientiousness. Research has established some links between dimensions of personality and indicators of engagement with music, for example, specific personality profiles for musicians/non-musicians. For example, openness is usually linked to musical involvement. However, research in the area is scarce and it remains unclear which specific aspects of musical engagement are linked to personality; how these links establish in the course of development; and whether these links are affected by culture. This article reports data collected with several measures of personality (Big Five personality scales) and a comprehensive measure of engagement with music—the musical sophistication index (Gold-MSI) in three countries: Germany (N = 1,114), Russia (N = 346), and the United Kingdom (N = 751). We applied a graphical network modeling approach to investigate the patterns of association among the measures. Our results found a number of consistent musical sophistication-personality associations across the three samples, with the strongest link being between the Gold-MSI emotions subscale and the personality trait openness, which was found in all three samples

AI can see you: Machiavellianism and Extraversion are reflected in eye-movements

Recent studies showed an association between personality traits and individual patterns of visual behaviour in laboratory and other settings. The current study extends previous research by measuring multiple personality traits in natural settings; and by comparing accuracy of prediction of multiple machine learning algorithms. Adolescent participants (N=35) completed personality questionnaires (Big Five Inventory and Short Dark Triad Questionnaire) and visited an interactive museum while their eye movements were recorded with head-mounted eye tracking. To predict personality traits the eye-movement data was analysed using eight machine-learning methods: Random forest, Adaboost, Naive Bayes, Support Vector Machine, Logistic Regression, k Nearest Neighbours, Decision Tree and a three-layer Perceptron. Extracted eye movement features introduced to machine learning algorithms predicted personality traits with above 33% chance accuracy (34% - 48%). This result is comparable to previous ecologically valid studies, but lower than in laboratory-based research. Better prediction was achieved for Machiavellianism and Extraversion compared to other traits (10 and 9 predictions above the chance level by different algorithms from different parts of the recording). Conscientiousness, Narcissism and Psychopathy were not reliably predicted from eye movements. These differences in predictability across traits might be explained by differential activation of different traits in different situations, such as new vs. familiar, exciting vs. boring, and complex vs. simple settings. In turn, different machine learning approaches seem to be better at capturing specific gaze patterns (e.g. saccades), associated with specific traits evoked by the situation. Further research is needed to gain better insights into trait-situation-algorithm interactions

Personality, Behavioral strengths and difficulties and performance of adolescents with high achievements in science, literature, art and sports

Individual variation in personality is related to differences in behavioral difficulties and achievement in unselected samples, and in samples selected for high achievement in various domains. This is the first study to explore and compare the connections between self-report measures of personality (Big Five and Dark Triad), behavioral strengths and difficulties, and school achievement in four tracks of high-achieving adolescents (N = 1179) selected based on their exceptional performance in: Science, Arts, Sports and Literature. Personality was more strongly related to behavioral strengths and difficulties than to achievement in all tracks. As such, personality traits may be indirectly linked with achievement via behavioral strengths and difficulties. For example, narcissism correlated negatively with behavioral difficulties but did not significantly correlate with achievement. However, achievement was correlated negatively with behavioral difficulties. Network analyses indicated that teacher-awarded grades, but not anonymous exam grades, were weakly connected with personality. Specifically, teachers awarded higher grades to students with more ‘desirable’ personality traits such as high agreeableness. Results also showed track differences in the networks of personality, behavior and achievement. These findings are discussed in the context of personality as a resilience factor against behavioural difficulties and as a contributor to school achievement in gifted adolescents

Ordinary extraordinary: elusive group differences in personality and psychological difficulties between STEM-gifted adolescents and their peers

Background Individual differences in personality, behavioural, and academic outcomes of gifted adolescents remain under‐explored. Aims The present study directly compared selected and unselected adolescents on multiple measures of personality, behavioural strengths and difficulties, and achievement. Sample Nine hundred seventy‐three adolescents selected for high performance in Science, Technology, Engineering, and Mathematical (STEM) fields (M = 15.23; SD = 1.11), and one thousand two hundred sixty‐one unselected adolescents (M = 15.07; SD = 1.18) participated in the study. Methods Participants completed self‐report measures that assess the Big Five, the Dark Triad, and Behavioural Strengths and Difficulties. Demographic information and academic achievement in Maths and Russian were also obtained. Results The observed differences in personality and behaviour traits between selected and unselected samples were negligible as measured by ANOVAs. The selected sample had on average slightly lower scores on conscientiousness, extraversion, agreeableness, openness to experience, and subclinical narcissism, partial Eta Squared (ES) = [.01 to .05]; slightly lower scores on prosocial behaviour; and slightly higher scores on internalizing and externalizing problems, ES = [.01 to .04]. The selected group also showed higher Year and Examination grades (ES = .05 and .23, respectively). However, MANOVA results showed larger differences between samples (ES = .15). Conclusion Our results showed no pronounced differences between selected and unselected samples in any trait apart from examination performance. However, multivariate results suggest greater overall differences. These results suggest that high‐achieving individuals may be characterized by specific combinations of personality and behavioural traits

Persistent gender differences in spatial ability, even in STEM experts

Background: Spatial ability (SA) shows wide variability. One proposed explanation for the observed individual difference in SA is variability in interest and engagement in activities that promote spatial ability. Research also robustly shown that males on average outperform females in most aspects of SA. Previous studies have identified a number of activities that can potentially contribute to both individual and gender differences in SA, including tinkering with electronics, particular sports activities, and designing. However, the findings regarding these links are inconsistent. One way to investigate these links is to compare the groups that are intensively engaged with these activities. Aim: The present study aims to evaluate the robustness of these links by comparing SA in adolescents with expertise in STEM, arts, and sports, with their unselected peers. We also aimed to assess whether gender differences in SA are still present in expert groups. Methods: The data on ten small-scale SA tests was collected in an unselected sample of adolescents (N = 864, Mean age = 15.4, SD = 1.1); as well as in 3 samples of adolescents with expertise in STEM (N = 667, Mean age = 15, SD = 1.2); in Arts (N = 280, Mean age = 15, SD = 1.2) and in Sports (N = 444, Mean age = 14.3, SD = 0.7). Results: Out of the three expert groups, only STEM experts on average outperformed the unselected group on all SA tasks. The STEM experts also outperformed Arts and Sports experts. Gender differences persisted in all expert groups, with moderate effect sizes. Discussion: Findings support previously established links between spatial ability and STEM-related expertise. In contrast, such links were not found for expertise in arts and sports. Consistent with previous research, we found gender differences in SA for all samples, which persisted in STEM experts