Validation Française de l’Échelle de la Personnalité Temporelle (French Validation of the Time Personality Indicator)

RÉSUMÉ Certains auteurs ont développé un intérêt pour la compréhension des aptitudes associées à la gestion du temps. Ainsi, plusieurs définitions théoriques ont été proposées afin de mieux cerner ce concept et une multitude de questionnaires a été développée afin de le mesurer. La présente étude visait à valider la traduction française d’un de ces outils, soit le Time Personality Indicator (TPI). Des analyses exploratoires et confirmatoires ont été effectuées sur l’ensemble des données recueillies auprès de 1 267 étudiants et employés de l’Université Laval ayant complété la version française du TPI ainsi que d’autres mesures de la personnalité. Les résultats ont révélé qu’une solution à huit facteurs permet de mieux décrire les données de l’échantillon. La discussion présente les raisons pour lesquelles la version française du TPI est valide, identifie certaines limites de la présente étude et souligne l’utilité de cet outil pour la recherche sur la gestion du temps. (ABSTRACT: Numerous authors have developed an interest towards the understanding of the abilities related to time management. As a consequence, multiple theoretical definitions have been proposed to explain time management. Likewise, several questionnaires have been developed in order to measure this concept. The aim of this study was to validate a French version of one of these tools, namely the Time Personality Indicator (TPI). The French version of the TPI and other personality questionnaires were completed by 1267 students and employees of Université Laval. The statistical approach used included exploratory and confirmatory analyses. Results revealed that an eight factor model provided a better adjustment to the data. The discussion provides arguments supporting the validity of the French version of the TPI and underlines the importance of such a tool for the research on time management)

Forecasting Methodologies for Ganoderma Spore Concentration Using Combined Statistical Approaches and Model Evaluations

High concentration levels of Ganoderma spp. spores were observed in Worcester, UK, during 2006–2010.These basidiospores are known to cause sensitization due to the allergen content and their small dimensions. This enables them to penetrate the lower part of the respiratory tract in humans. Establishment of a link between occurring symptoms of sensitization to Ganoderma spp. and other basidiospores is challenging due to lack of information regarding spore concentration in the air. Hence, aerobiological monitoring should be conducted, and if possible extended with the construction of forecast models. Daily mean concentration of allergenic Ganoderma spp. spores in the atmosphere of Worcester was measured using 7-day volumetric spore sampler through five consecutive years. The relationships between the presence of spores in the air and the weather parameters were examined. Forecast models were constructed for Ganoderma spp. spores using advanced statistical techniques, i.e. multivariate regression trees and artificial neural networks. Dew point temperature along with maximumtemperature was the most important factor influencing the presence of spores in the air of Worcester. Based on these two major factors and several others of lesser importance, thresholds for certain levels of fungal spore concentration, i.e. low (0–49 s m−3), moderate(50–99 s m−3), high (100–149 s m−3) and very high (150model, which was accurate (correlation between observed and predicted values varied from rs=0.57 to rs=0.68).