Application of functional principal component analysis in race walking: An emerging methodology

This study considered the problem of identifying and evaluating the factors of individual performance during race walking. In particular, the study explored the use of functional principal component analysis (f-PCA), a multivariate data analysis, for assessing and classifying the kinematics and kinetics of the knee joint in competitive race walkers. Seven race walkers of international and national level participated to the study. An optoelectronic system and a force platform were used to capture three-dimensional kinematics and kinetics of lower limbs during the race walking cycle. Functional principal component analysis was applied bilaterally to the sagittal knee angle and net moment data, because knee joint motion is fundamental to race walking technique. Scatterplots of principal component scores provided evidence of athletes' technical differences and asymmetries even when traditional analysis (mean ± s curves) was not effective. Principal components provided indications for race walkers' classification and identified potentially important technical differences between higher and lower skilled athletes. Therefore, f-PCA might represent a future aid for the fine analysis of sports movements, if consistently applied to performance monitoring.     

A comparative analysis of the efficiency of national education systems

The present study assesses the performance of 54 participating countries in PISA 2006. It employs efficiency indicators that relate result variables with resource variables used in the production of educational services. Desirable outputs of educational achievement and undesirable outputs of educational inequality are considered jointly as result variables. A construct that captures the quality and quantity of educational resources consumed is used as resource variables. Similarly, environmental variables of each educational system are included in the efficiency evaluation model; while these resources are not controllable by the managers of the education systems, they do affect outcomes. We find that European countries are characterized by weak management, the Americans (mainly Latin Americans) by a weak endowment of resources, and the Asians by a high level of heterogeneity. In particular, Asia combines countries with optimal systems (South Korea and Macao-China); countries with managerial problems (Hong Kong, China-Taipei, Japan and Israel); others where the main challenge is the weak endowment of resources (Jordan and Kyrgyzstan), and, finally, others where the main problem is in the long run since it concerns structural conditions of a socioeconomic and cultural nature (Turkey, Thailand, and Indonesia).     

Multidimensional profiles of learning orientations and school achievement: a person-oriented approach in middle-school students

A person-oriented approach was applied to the study of early adolescents’ learning orientations to identify different profiles and their association with school achievement. A total of 244 middle-school students (male: 128; female: 116; M-age ± SD = 12.51 ± .93) completed a self-report questionnaire to explore cognitive, metacognitive, and affective dimensions of learning orientations. School achievements were collected in a range of school subjects. Cluster analyses and one-way MANOVA were carried out to verify the existence of profiles. Chi-square tests were used to test the association between profiles of learning orientations and school achievement. The results showed two profiles differently associated with school achievement: students “Dragged by the current” (Profile 1) showed low school achievement across school subjects, meanwhile students “At the helm” (Profile 2) reached excellent school achievement. In promoting middle-school students’ achievement, it is important for teachers to consider students’ profiles of learning orientations.

     

Temperament Predicts Processing Speed in Low Socioeconomic Status Rural Preschoolers

Extreme poverty all over the world is concentrated in rural settings. However, studies about cognition in low socioeconomic status (SES) children are for the most part conducted in urban populations. This paper investigates, in a poor rural sample, what are the individual and socioenvironmental variables that make the difference in performance in a processing speed task. Forty four 5‐year‐old children were evaluated with a processing speed task; individual and socioenvironmental information was obtained from parents' interviews. Higher scores in the effortful control dimension of temperament were associated with higher performance in the processing speed task. No other individual or socioenvironmental variable predicted the performance. These results showed that effortful control is important in processing speed and suggest that in low SES rural contexts, low effortful control children would require stronger interventions.     

Evaluating the Effectiveness of Modelling-Oriented Workshops for Engineering Undergraduates in the Field of Thermally Activated Phenomena

Research in Science Education - Two 20-h modelling-based workshops focused on the explanation of thermally activated phenomena were held at the University of Palermo, Italy, during the Academic...     

The Effect of Media Coverage on Employer Reputation

A growing body of research examines the formation of employer reputation. One potential driver is media coverage. Using content analysis data for media coverage and survey data, this study examines different dimensions of media coverage, namely, social and functional news and their impacts on employer reputation. Results show that in particular negative functional and social news affect employer reputation, although the impact of negative social news is more indirect and delayed.     

The Theory of Planned Behavior Within the Stages of the Transtheoretical Model: Latent Structural Modeling of Stage-Specific Prediction Patterns in Physical Activity

This is the first study to test whether the stages of change of the transtheoretical model are qualitatively different through exploring discontinuity patterns in theory of planned behavior (TPB) variables using latent multigroup structural equation modeling (MSEM) with AMOS. Discontinuity patterns in terms of latent means and prediction patterns for the different stage groups were examined. Adults (n = 3,462) were assessed on their physical activity stages of change and TPB variables. The TPB was separately examined within the five stage groups. The TPB measurement model fit was acceptable. Latent mean analyses with post-hoc contrast and MSEM indicated discontinuity patterns. Results underscore the qualitative differences between the stages that may guide further research and the design of interventions integrating the approaches.     

Testing the fairness of citation indicators for comparison across scientific domains: The case of fractional citation counts

Citation numbers are extensively used for assessing the quality of scientific research. The use of raw citation counts is generally misleading, especially when applied to cross-disciplinary comparisons, since the average number of citations received is strongly dependent on the scientific discipline of reference of the paper. Measuring and eliminating biases in citation patterns is crucial for a fair use of citation numbers. Several numerical indicators have been introduced with this aim, but so far a specific statistical test for estimating the fairness of these numerical indicators has not been developed. Here we present a statistical method aimed at estimating the effectiveness of numerical indicators in the suppression of citation biases. The method is simple to implement and can be easily generalized to various scenarios. As a practical example we test, in a controlled case, the fairness of fractional citation count, which has been recently proposed as a tool for cross-discipline comparison. We show that this indicator is not able to remove biases in citation patterns and performs much worse than the rescaling of citation counts with average values.