Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset)

This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments’ psychometric properties across different languages and contexts. Data and metadata are stored on the Open Science Framework website [https://osf.io/mhg94/]

A large topographic feature on the surface of the trans-Neptunian object (307261) 2002 MS4_4 measured from stellar occultations

This work aims at constraining the size, shape, and geometric albedo of the dwarf planet candidate 2002 MS4 through the analysis of nine stellar occultation events. Using multichord detection, we also studied the object's topography by analyzing the obtained limb and the residuals between observed chords and the best-fitted ellipse. We predicted and organized the observational campaigns of nine stellar occultations by 2002 MS4 between 2019 and 2022, resulting in two single-chord events, four double-chord detections, and three events with three to up to sixty-one positive chords. Using 13 selected chords from the 8 August 2020 event, we determined the global elliptical limb of 2002 MS4. The best-fitted ellipse, combined with the object's rotational information from the literature, constrains the object's size, shape, and albedo. Additionally, we developed a new method to characterize topography features on the object's limb. The global limb has a semi-major axis of 412 $\pm$ 10 km, a semi-minor axis of 385 $\pm$ 17 km, and the position angle of the minor axis is 121 $^\circ$ $\pm$ 16$^\circ$. From this instantaneous limb, we obtained 2002 MS4's geometric albedo and the projected area-equivalent diameter. Significant deviations from the fitted ellipse in the northernmost limb are detected from multiple sites highlighting three distinct topographic features: one 11 km depth depression followed by a 25$^{+4}_{-5}$ km height elevation next to a crater-like depression with an extension of 322 $\pm$ 39 km and 45.1 $\pm$ 1.5 km deep. Our results present an object that is $\approx$138 km smaller in diameter than derived from thermal data, possibly indicating the presence of a so-far unknown satellite. However, within the error bars, the geometric albedo in the V-band agrees with the results published in the literature, even with the radiometric-derived albedo

Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset)

This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments’ psychometric properties across different languages and contexts. Data and metadata are stored on the Open Science Framework website (https://osf.io/mhg94/).</p&gt

Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset)

This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments’ psychometric properties across different languages and contexts

The relationship between motorcycle rider behaviours, personality characteristics and risk perception

Motosiklet sürücülerinin kişilik özellikleri ve risk algıları ile motosiklet kullanım tarzları arasındaki ilişkinin incelenmesi amaçlanan bu çalışma alanyazındaki ilk araştırma niteliğini taşımaktadır. Çalışmanın örneklemini 17-58 yaş aralığındaki motosiklet ehliyeti olan 201 erkek katılımcı oluşturmaktadır. Çalışmada Temel Kişilik Özellikleri Envanteri, Risk Algısı Ölçeği ve Motosiklet Kullanım Tarzı Ölçeği kullanılmıştır. Yapılan hiyerarşik regresyon analizi sonuçlarına göre, hız ihlali kişilik özelliklerinin alt boyutlarından olan duygusal tutarsızlık ve olumsuz değerlik ile pozitif yönde ilişkiliyken; risk algısı ile negatif yönde ilişkili bulunmuştur. Dışadönüklük ile motor kontrol hataları arasında pozitif yönde ilişki olduğu bulunmuştur. Uyumluluk ve duygusal tutarsızlık boyutlarının motor kontrol hataları ile negatif yönde ilişkili olduğu bulgulanmıştır. Sorumluluk ve risk algısının akrobasi ile arasında negatif yönlü bir ilişki olduğu bulunmuştur. Olumsuz değerlik ile trafik hataları boyutu arasında pozitif yönde ilişki olduğu bulgulanmıştır. Bu çalışma risk algısının, kişilik özellikleri ile birlikte incelendiğinde de motosiklet kullanım tarzı ile ilişki olduğunu göstermektedir. Bulgular doğrultusunda kişilik özellikleri arasındaki farklılıklar göz önünde bulundurularak ehliyet kursu eğitimleri için farklı yöntemler geliştirilmesi ve yol güvenliğine olumlu katkı sağlaması amaçlanmaktadır.This study is the first research in literature which investigated the relationships between motorcycle rider behaviors, personality characteristics and risk perception. The participants were 201 male participants who have motorcycle license. The age range of the participants was between 17 and 58 years. In the current study, Basic Personality Traits Inventory, Risk Perception Scale and Motorcycle Rider Behavior Questionnaire were used. According to the results of the hierarchical regression analysis, speed violation was positively related with neuroticism and negative valance, and negatively related to risk perception. While there was a positive relationship between extraversion and motor control errors, results showed that agreeableness and neuroticism dimensions were negatively related with motor control errors. . It was found that there was a negative relationship between responsibility and risk perception and stunts. There was a positive correlation between negative valence and traffic errors. The results highlight that risk perception is related with motorcycle rider behaviors even when it is examined with personality traits. Considering possible differences between personality traits in line with the findings, it is aimed to develop different methods for driver's license trainings and make a positive contribution to road safety.Publisher's Versio

Kişilik Özellikleri ve Risk Algısının Motosiklet Kullanım Tarzı ile İlişkisi

Motosiklet sürücülerinin kişilik özellikleri ve risk algıları ile motosiklet kullanım tarzları arasındaki ilişkinin incelenmesi amaçlanan bu çalışma alanyazındaki ilk araştırma niteliğini taşımaktadır. Çalışmanın örneklemini 17-58 yaş aralığındaki motosiklet ehliyeti olan 201 erkek katılımcı oluşturmaktadır. Çalışmada Temel Kişilik Özellikleri Envanteri, Risk Algısı Ölçeği ve Motosiklet Kullanım Tarzı Ölçeği kullanılmıştır. Yapılan hiyerarşik regresyon analizi sonuçlarına göre, hız ihlali kişilik özelliklerinin alt boyutlarından olan duygusal tutarsızlık ve olumsuz değerlik ile pozitif yönde ilişkiliyken; risk algısı ile negatif yönde ilişkili bulunmuştur. Dışadönüklük ile motor kontrol hataları arasında pozitif yönde ilişki olduğu bulunmuştur. Uyumluluk ve duygusal tutarsızlık boyutlarının motor kontrol hataları ile negatif yönde ilişkili olduğu bulgulanmıştır. Sorumluluk ve risk algısının akrobasi ile arasında negatif yönlü bir ilişki olduğu bulunmuştur. Olumsuz değerlik ile trafik hataları boyutu arasında pozitif yönde ilişki olduğu bulgulanmıştır. Bu çalışma risk algısının, kişilik özellikleri ile birlikte incelendiğinde de motosiklet kullanım tarzı ile ilişki olduğunu göstermektedir. Bulgular doğrultusunda kişilik özellikleri arasındaki farklılıklar göz önünde bulundurularak ehliyet kursu eğitimleri için farklı yöntemler geliştirilmesi ve yol güvenliğine olumlu katkı sağlaması amaçlanmaktadır.This study is the first research in literature which investigated the relationships between motorcycle rider behaviors, personality characteristics and risk perception. The participants were 201 male participants who have motorcycle license. The age range of the participants was between 17 and 58 years. In the current study, Basic Personality Traits Inventory, Risk Perception Scale and Motorcycle Rider Behavior Questionnaire were used. According to the results of the hierarchical regression analysis, speed violation was positively related with neuroticism and negative valance, and negatively related to risk perception. While there was a positive relationship between extraversion and motor control errors, results showed that agreeableness and neuroticism dimensions were negatively related with motor control errors. . It was found that there was a negative relationship between responsibility and risk perception and stunts. There was a positive correlation between negative valence and traffic errors. The results highlight that risk perception is related with motorcycle rider behaviors even when it is examined with personality traits. Considering possible differences between personality traits in line with the findings, it is aimed to develop different methods for driver's license trainings and make a positive contribution to road safety.Publisher's Versio