Cognitive motivation correlates of coping style in decisional conflict

Can personality traits account for the handling of internal conflicts? The authors explored how individual differences in information-processing style affect coping patterns displayed before making important decisions. Need for cognition and need for cognitive closure were linked to the major tendencies identified in the conflict theory of decision making: vigilance, hypervigilance, and defensive avoidance (buck passing and procrastination). A sample of 1,119 Belgian human resource professionals completed the Melbourne Decision Making Questionnaire, the 18-item short-form Need for Cognition Scale, and the Need for Closure Inventory. Ordinary least squares regression analysis indicated that significant relationships existed between need for cognition, need for closure, and conflict decision-making styles. The authors also found significant effects of gender and age.     

The prediction of stress by values and value conflict

The authors investigated the relationships among stress, values, and value conflict. Data collected from 400 people working in a variety of companies in Flanders indicated that the values of openness to change, conservation, self-transcendence, and self-enhancement were important predictors of stress. Participants open to change reported less stress, whereas participants who had high scores on conservation, self-enhancement, and self-transcendence perceived more stress. People who reported high value conflict also experienced more stress. Separate analyses for men and women showed that there were gender differences in the relationships observed between the 4 value types and stress. These data have noteworthy theoretical and practical implications.     

A disgust mood state causes a negative interpretation bias, but not in the specific domain of body-related concerns

The present study was designed to examine the effects of a disgust mood state on negative interpretation bias, in particular in the domain of body and weight concerns. Participants (N = 120) were randomly assigned to one of four mood induction groups (i.e., disgust, anxiety, happy, and neutral) and were afterwards asked to respond to various types of ambiguous scenarios to index general threat interpretations, negative body-related interpretations, and neutral/positive interpretations. Results demonstrated that both the anxiety and disgust mood induction groups displayed higher levels of negative interpretations of the ambiguous threat scenarios than the neutral and happy groups. However, no evidence was obtained for a negative interpretation bias in the body-related domain for these negative mood groups, and this conclusion was also true for participants scoring high on a scale of eating disorder symptoms. Altogether, these findings suggest that disgust does not play a role in eating pathology by inducing a negative interpretation bias in the specific domain of body and weight concerns.     

Semi-automated Rasch analysis using in-plus-out-of-questionnaire log likelihood

Rasch analysis is a popular statistical tool for developing and validating instruments that aim to measure human performance, attitudes and perceptions. Despite the availability of various software packages, constructing a good instrument based on Rasch analysis is still considered to be a complex, labour-intensive task, requiring human expertise and rather subjective judgements along the way. In this paper we propose a semi-automated method for Rasch analysis based on first principles that reduces the need for human input. To this end, we introduce a novel criterion, called in-plus-out-of-questionnaire log likelihood (IPOQ-LL). On artificial data sets, we confirm that optimization of IPOQ-LL leads to the desired behaviour in the case of multi-dimensional and inhomogeneous surveys. On three publicly available real-world data sets, our method leads to instruments that are, for all practical purposes, indistinguishable from those obtained by Rasch analysis experts through a manual procedure.     

Cognitive styles in an international perspective: cross-validation of the Cognitive Style Indicator (CoSI)

This study examines the cross-cultural validity of the Cognitive Style Indicator (CoSI). Measurement equivalence tests were performed on data collected from a Belgian (n = 300) and a South African (n = 246) sample of students and employees. Confirmatory factor analyses within each sample showed the best fit to the data for a three-factor model underlying the CoSI. Measurement invariance tests, using multigroup confirmatory factor analysis, indicated that the relationships among the scales showed equivalence across cultures. Although the study is an important first step toward the cross-validation of the CoSI, further research in other international samples is particularly needed to strengthen these results.