The Comprehensive Alcohol Expectancy Questionnaire: Confirmatory Factor Analysis,Scale Refinement,and Further Validation

The Comprehensive Alcohol Expectancy Questionnaire (CAEQ; Demmel & Hagen, 2003a, 2003b) is a self-report measure designed to assess an individual’s alcohol expectancies. In this study, we examined the CAEQ in a student sample (N= 932) and in a clinical sample of alcohol-dependent inpatients (N= 744). The Five-factor structure was confirmed by means of confirmatory factor analysis. Convergent validity of the revised CAEQ was supported by showing significant relationships to quantity and frequency of drinking. The results of this study suggest that the revised CAEQ appears to be a psychometrically sound tool for the assessment of alcohol expectancies among both students and alcohol-dependent inpatients.     

Impaired artificial grammar learning in agrammatism

It is often assumed that language is supported by domain-specific neural mechanisms, in part based on neuropsychological data from aphasia. If, however, language relies on domain-general mechanisms, it would be expected that deficits in non-linguistic cognitive processing should co-occur with aphasia. In this paper, we report a study of sequential learning by agrammatic aphasic patients and control participants matched for age, socio-economic status and non-verbal intelligence. Participants were first exposed to strings derived from an artificial grammar after which they were asked to classify a set of new strings, some of which were generated by the same grammar whereas others were not. Although both groups of participants performed well in the training phase of the experiment, only the control participants were able to classify novel test items better than chance. The results show that breakdown of language in agrammatic aphasia is associated with an impairment in artificial grammar learning, indicating damage to domain-general neural mechanisms subserving both language and sequential learning.     

Learning grammatical categories from distributional cues: Flexible frames for language acquisition

Performance in a behavioral task can be facilitated by associating stimulus properties with reward. In contrast, conflicting information is known to impede task performance. Here we investigated how reward associations influence the within-trial processing of conflicting information using a color-naming Stroop task in which a subset of ink colors (task-relevant dimension) was associated with monetary incentives. We found that color-naming performance was enhanced on trials with potential-reward versus those without. Moreover, in potential-reward trials, typical conflict-induced performance decrements were attenuated if the incongruent word (task-irrelevant dimension) was unrelated to reward. In contrast, incongruent words that were semantically related to reward-predicting ink colors interfered with performance in potential-reward trials and even more so in no-reward trials, despite the semantic meaning being entirely task-irrelevant. These observations imply that the prospect of reward enhances the processing of task-relevant stimulus information, whereas incongruent reward-related information in a task-irrelevant dimension can impede task performance.     

Optimizing subjective measures of consciousness

Dienes and Seth (2010) conclude that confidence ratings and post-decision wagering are two comparable and recommendable measures of conscious experience. In a recently submitted paper, we have however found that both methods are problematic and seem less suited to measure consciousness than a direct introspective measure.Here, we discuss the methodology and conclusions put forward by Dienes and Seth, and why we think the two experiments end up with so different recommendations.     

Easier is not always better: The moderating role of processing type on preference fluency

Prior research has shown that preference fluency (i.e., the subjective feeling that forming a preference is easy or difficult) systematically influences consumer choices. When deciding on an option feels difficult, or requires effort, consumers are likely to select a different option or defer the decision. We find that under conditions of narrative processing, difficulty in processing can actually improve preferences because more effort leads to more transportation, or immersion, into the story, thus enhancing brand evaluations. Three experiments demonstrate that the effect of preference fluency reverses when consumers think about a brand as part of a story.     

Luck Egalitarianism,Universal Health Care,and Non-Responsibility-Based Reasons for Responsibilization

In recent literature, there has been much debate about whether and how luck egalitarianism, given its focus on personal responsibility, can justify universal health care. In this paper we argue that, whether or not this is so, and in fact whether or not egalitarianism should be sensitive to responsibility at all, the question of personal responsibilization for health is not settled. This is the case because whether or not individuals are responsible for their own health condition is not all that is relevant when considering whether we should somehow hold them responsible for their own health condition, e.g. cost-wise. There may also be efficiency-based reasons to hold them responsible, and there may even be egalitarian reasons. Defining universal health care as an insurance system where everyone’s deductible and premium is 0, we will argue that efficiency-based reasons for cost-responsibilization are not convincing, but that there are egalitarian reasons for cost-responsibilization. Luck egalitarianism, therefore, cannot, at least not on its own term, justify universal health care.

     

Language evolution: consensus and controversies

Why is language the way it is? How did language come to be this way? And why is our species alone in having complex language? These are old unsolved questions that have seen a renaissance in the dramatic recent growth in research being published on the origins and evolution of human language. This review provides a broad overview of some of the important current work in this area. We highlight new methodologies (such as computational modeling), emerging points of consensus (such as the importance of pre-adaptation), and the major remaining controversies (such as gestural origins of language). We also discuss why language evolution is such a difficult problem, and suggest probable directions research may take in the near future.