The bonnie baby: experimentally manipulated temperament affects perceived cuteness and motivation to view infant faces

Attractive individuals are perceived as having various positive personality qualities. Positive personality qualities can in turn increase perceived attractiveness. However, the developmental origins of the link between attractiveness and personality are not understood. This is important because infant attractiveness (‘cuteness’) elicits caregiving from adults, and infant personality (‘temperament’) shapes caregiving behaviour. While research suggests that adults have more positive attitudes towards cuter infants, it is not known whether positive infant temperament can increase the perception of infant cuteness. We investigated the impact of experimentally established infant temperament on adults' perception of cuteness and desire to view individual faces. Ataseline, adults rated the cuteness of, and keypressed to view, images of unfamiliar infants with neutral facial expressions. Training required adults to learn about an infant's ‘temperament’, through repeated pairing of the neutral infant face with positive or negative facial expressions and vocalizations. Adults then re‐rated the original neutral infant faces. Post‐training, there were significant changes from baseline: infants who were mostly happy were perceived as cuter and adults expended greater effort to view them. Infants who were mostly sad were not perceived as cuter and adults expended less effort to view them. Our results suggest that temperament has clear consequences for how adults perceive ‘bonnie’ babies. Perception of infant cuteness is not based on physical facial features alone, and is modifiable through experience.     

multiTree: A computer program for the analysis of multinomial processing tree models

Multinomial processing tree (MPT) models are a family of stochastic models for psychology and related sciences that can be used to model observed categorical frequencies as a function of a sequence of latent states. For the analysis of such models, the present article presents a platform-independent computer program called multiTree, which simplifies the creation and the analysis of MPT models. This makes them more convenient to implement and analyze. Also, multiTree offers advanced modeling features. It provides estimates of the parameters and their variability, goodness-of-fit statistics, hypothesis testing, checks for identifiability, parametric and nonparametric bootstrapping, and power analyses. In this article, the algorithms underlying multiTree are given, and a user guide is provided. The multiTree program can be downloaded from http://psycho3.uni-mannheim.de/multitree.     

Predictors of Support for Women in Military Roles: Military Status,Gender, and Political Ideology

The repeal of combat restrictions by gender raises the importance of understanding factors related to the acceptance of women serving in the full range of military jobs. Previous research shows military affiliated cadets, especially males, are substantially less approving of women serving in military jobs, especially those involving exposure to direct combat or command positions, than are other college students. The current study extends these findings by considering political ideology in addition to gender and military affiliation, as related to attitudes toward women’s roles in the military overall and in combat roles in particular. Survey data from Service Academy cadets (n = 3,116), Reserve Officer Training Corps (ROTC) cadets (n = 1,367), and nonmilitary affiliated college students (n = 2,648), provided measures of whether a woman should or should not be allowed to serve in 9 different military job areas. In addition to overall approval, a scale for combat jobs was created from a subset of 4 of the jobs. Regression analysis indicated that once gender, political party, political position (left/right), and attitudes toward mothers in the workforce overall were controlled, type of college did not add to the prediction of acceptance of women in various military roles. In general, nonmilitary affiliated respondents, women, and those identifying as Democrat offered higher approval scores. Our findings suggest more aggressive programs, designed to educate and socialize these future leaders about women’s roles in the military, may require development.     

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.     

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.