The present study aims to test the psychometric properties of the Portuguese version of the “How I Think” (HIT) questionnaire. The HIT questionnaire is a self-report measure of self-serving cognitive distortions. Our sample was comprised of 442 Portuguese-speaking adolescents and young adults (254 males and 188 females), aged between 12 and 20 years. Of the total 442 participants, 351 were recruited from a Portuguese school and 91 from four Portuguese detention centers for juvenile delinquents. Data analysis provided evidence supporting the original six-factor model solution, composed of a four-category typology of self-serving cognitive distortions (i.e., Selfcentered, Blaming Others, Minimizing/Mislabeling, and Assuming the Worst), an Anomalous responding, and one Positive filler factor. Further, results showed satisfactory internal consistency, convergent validity, and discriminant validity. In conclusion, this article provides Portuguese researchers and practitioners with a valid measure of self-serving cognitive distortions.
Human comfort has become a key issue in developing new technologies and products. Thermal comfort perception is mainly affected by heat and mass transfer processes between the human body and its environment. In teaching this subject to Mechanical Engineering undergraduate students at University of Minho, the thermal comfort index PMV (Predicted Mean Vote) has often been used. It gives a statistical mean value of comfort sensation and it is very simple to use. On the other hand, a full computer simulation software of the human bodyclothing-environment system is a more effective way to study thermal comfort. However, computer models can be quite complicated to follow and to use in classes. A thermal human comfort model has been incorporated into a graphical interface in order to facilitate its current use. The graphical interface appears to be a very useful tool to interact with the thermal human comfort model developed. During its development stage, the interface has been tested using questionnaires in order to optimize its usability as a learning tool. Three different groups have been targeted by the questionnaires: first group of students from the Industrial Engineering degree, who have already some general knowledge about ergonomics, the second group included Post-Graduate students in Human Engineering, and the third group included students from Mechanical Engineering degree. Comparing results and also motivating students to this interesting and demanding subject has been the main objective of the present work.
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