A Spanish translation of Mehrabian and Russell's emotionality scales for environmental consumer psychology

The development of a translation of Mehrabian and Russell's scales for the measurement of pleasure, arousal and dominance from the original English to a Spanish version for use in Venezuela is described. The translated scales were administered to two samples of middle‐class Venezuelan consumers (n = 127,n = 127) between the ages of 20 and 50, among whom males and females were represented approximately equally. Internal reliability (measured by Cronbach's alpha) and scale validity (measured by factor analysis) indicate that the translated scales are suitable for consumer and other social psychological research in Spanish. Copyright © 2002 Henry Stewart Publications Ltd.     

Composition in distributional models of semantics

Vector-based models of word meaning have become increasingly popular in cognitive science. The appeal of these models lies in their ability to represent meaning simply by using distributional information under the assumption that words occurring within similar contexts are semantically similar. Despite their widespread use, vector-based models are typically directed at representing words in isolation, and methods for constructing representations for phrases or sentences have received little attention in the literature. This is in marked contrast to experimental evidence (e.g., in sentential priming) suggesting that semantic similarity is more complex than simply a relation between isolated words. This article proposes a framework for representing the meaning of word combinations in vector space. Central to our approach is vector composition, which we operationalize in terms of additive and multiplicative functions. Under this framework, we introduce a wide range of composition models that we evaluate empirically on a phrase similarity task.     

The course of depression 10-weeks post-acute coronary syndrome: assessment using the cardiac depression visual analogue scale

This study investigated depressed mood post-acute coronary syndrome in an Australian sample using the Cardiac Depression Visual Analogue Scale (CD-VAS), which was developed to assess the depression-related symptoms of reduced pleasure, memory, activity, future pessimism, increased irritation and sleep problems. The Beck Depression Inventory-II, the Cardiac Depression Scale (CDS) and a demographic medical questionnaire were administered at 2 weeks post-ACS to an initial sample of 13 female and 45 male participants whose mean age was 59.16 (SD=11.13) years (range 38-79). Depressed and non-depressed participants, determined by the CDS, then kept a CD-VAS diary between 2 and 12 weeks. 32 participants kept the diary for the entire 10 weeks. Total CD-VAS scores remained elevated in the depressed group for the entire period. The groups differed on the Pleasure, Memory and Future items for a total of 6, 6 and 5 weeks, respectively, and differed on the Activity item only at 1, 3 and 5 weeks. No group differences were seen in the Irritation or Sleep items. Within the depressed group, the only CD-VAS items that differed from each other across time were Irritation and Activity. Further, the Sleep, Irritation and Activity items had a significant time effect. These results indicate that although overall depression, as measured by the CD-VAS, remained elevated in the depressed group, there were key differences in recovery rates of specific depression-related symptoms. These differences could be useful indicators in the treatment of depression post-ACS.     

Modelling perceptions of criminality and remorse from faces using a data-driven computational approach

Perceptions of criminality and remorse are critical for legal decision-making. While faces perceived as criminal are more likely to be selected in police lineups and to receive guilty verdicts, faces perceived as remorseful are more likely to receive less severe punishment recommendations. To identify the information that makes a face appear criminal and/or remorseful, we successfully used two different data-driven computational approaches that led to convergent findings: one relying on the use of computer-generated faces, and the other on photographs of people. In addition to visualising and validating the perceived looks of criminality and remorse, we report correlations with earlier face models of dominance, threat, trustworthiness, masculinity/femininity, and sadness. The new face models of criminal and remorseful appearance contribute to our understanding of perceived criminality and remorse. They can be used to study the effects of perceived criminality and remorse on decision-making; research that can ultimately inform legal policies.     

A biopsychosocial model for depressive symptoms following acute coronary syndromes

A partial latent structural regression analysis was used to evaluate the influence of perceived stress and coping resources on depression following acute coronary syndromes (ACS) in a sample of 113 participants (25 females and 88 males with a mean age of 57.61 years (SD = 12.63). Out of them, 55 participants were Australian born and 48 were born elsewhere, with 53 of the patients scoring in the mild to high depression range on the Beck Depression Inventory and the Cardiac Depression Scale. Perceived stress and coping resources, after controlling for age and smoking explained 89% of the variance in the latent variable depression. Higher perceived stress levels and fewer coping resources predicted higher levels of depression. Higher levels of perceived stress predicted fewer coping resources and fewer coping resources predicted higher levels of depression. There was a significant direct and indirect effect of perceived stress through coping on depression. Cognitive and physical coping resources were the best predictors of the depression construct. These results have potential implications for the treatment of depression post-ACS. In particular, cognitive and physical coping mechanisms and perceived stress reduction need to be addressed when treating depression post-ACS.     

Does well‐being contribute to performance? Emotional security,teacher support and learning behaviour in kindergarten

In this study, we examined relations between kindergartner's emotional security, task involvement and achievement and teacher's supportive presence in a cognitive training setting, in which the familiarity of the teacher was varied. Participants were 48 kindergarten children (mean age=51.65 months); 16 children were trained by their regular teacher (experimental group 1), 16 by a less familiar teacher (experimental group 2) and 16 received no training (control group). In three training sessions, children worked in pairs on a new categorization and recall task. Trained observers rated children's emotional insecurity and task involvement and teacher's supportive presence. Furthermore, spontaneous recall during the training was assessed. In addition, categorization and spontaneous recall was measured in various test sessions. Children's emotional insecurity during training negatively affected involvement. Involvement on its turn positively influenced spontaneous recall during training. In addition, emotional insecurity had a direct negative effect on spontaneous recall in a test situation. No effect of familiarity or supportive presence of the teacher on emotional security was found. Training conditions did not affect test performances. Findings suggest that children's involvement is important for learning and that experiences of emotional insecurity may negatively affect task involvement, test performance and eventually school achievement. Teachers in general seem capable of providing children with some sense of security. Copyright © 2004 John Wiley & Sons, Ltd.