Grammatical gender in German: a case for linguistic relativity?

The "principle of linguistic relativity" holds that, by way of grammatical categorization, language affects the conceptual representations of its speakers. Formal gender systems are a case in point, albeit a particularly controversial one: Previous studies obtained broadly diverging data, thus giving rise to conflicting conclusions. To a large extent, this incoherence is related to task differences and methodological problems. Here, a priming design is presented that avoids previous problems, as it prevents participants from employing gender information in a strategic manner. Four experiments with German native speakers show priming effects of the prime's grammatical gender on animate and nonanimate targets, an effect for the prime's biological gender on animate targets, but no effect for the prime's biological gender on nonanimate targets, and thus speak against an effect of language on thought for German gender.     

Effects of spatial compatibility on integration processes in graph comprehension

A precondition for efficiently understanding and memorizing graphs is the integration of all relevant graph elements and their meaning. In the present study, we analyzed integration processes by manipulating the spatial compatibility between elements in the data region and the legend. In Experiment 1, participants judged whether bar graphs depicting either statistical main effects or interactions correspond to previously presented statements. In Experiments 2 and 3, the same was tested with line graphs of varying complexity. In Experiment 4, participants memorized line graphs for a subsequent validation task. Throughout the experiments, eye movements were recorded. The results indicated that data-legend compatibility reduced the time needed to understand graphs, as well as the time needed to retrieve relevant graph information from memory. These advantages went hand in hand with a decrease of gaze transitions between the data region and the legend, indicating that data-legend compatibility decreases the difficulty of integration processes.     

Self‐esteem is dominated by agentic over communal information

We present a Double Perspective Model (DPM) explaining why agency (competence) and communion (warmth) constitute two basic content dimensions of social cognition. Every social action involves two perspectives: of the agent (a person who performs an action) and of the recipient (a person at whom the action is directed). Immediate cognitive goals of the agent and recipient differ, which results in heightened accessibility and weight of content referring either to agency (from the agent's perspective) or to communion (from the recipient's perspective). DPM explains why evaluations of other persons are dominated by communal over agentic considerations and allows a novel hypothesis that self‐esteem is dominated by agentic over communal information. We present several studies supporting this hypothesis. Copyright © 2011 John Wiley & Sons, Ltd.     

Relationship between patient characteristics and treatment allocation for patients with personality disorders

Within a large multi-center study in patients with personality disorders, we investigated the relationship between patient characteristics and treatment allocation. Personality pathology, symptom distress, treatment history, motivational factors, and sociodemographics were measured at intake in 923 patients, who subsequently enrolled in short-term or long-term outpatient, day hospital, or inpatient psychotherapy for personality pathology. Logistic regressions were used to examine the predictors of allocation decisions. We found a moderate relationship (R(2) = 0.36) between patient characteristics and treatment setting, and a weak relationship (R(2) = 0.18) between patient characteristics and treatment duration. The most prominent predictors for setting were: symptom distress, cluster C personality pathology, level of identity integration, treatment history, motivation, and parental responsibility. For duration the most prominent predictor was age. We conclude from this study that, in addition to pathology and motivation factors, sociodemographics and treatment history are related to treatment allocation in clinical practice.     

Gene flow by selective emigration as a possible cause for personality differences between small islands and mainland populations

Whether personality differences exist between populations is a controversial question. Even though such differences can be measured, it is still not clear whether they are due to individual phenotypic responses to the environment or whether they have a genetic influence. In a population survey we compared the personality traits of inhabitants of an Italian archipelago (the three Egadi islands; N = 622) with those of the closest mainland population (Trapani area; N = 106) and we found that personality differences between small populations can be detected. Islanders scored significantly lower on the personality traits of openness to experience and extraversion and higher on conscientiousness. We suggest that these personality trait differences could be an adaptive response to a confined socio‐environmental niche, genetically produced by a strong, non‐random gene flow in the last 20–25 generations, rather than the flexible response of islanders to environmental variables. To test this hypothesis, we compared subsets of the islander population classified by ancestry, birthplace, immigration and emigration and found that differences in extraversion can be accounted for by gene flow, while openness to experience and conscientiousness can also be accounted for by some gene–environment interactions. We propose a Personality Gene Flow hypothesis suggesting that, in small isolated communities, whenever there is strong, non‐random emigration, paired with weak and random immigration, we can expect rapid genetic personality change within the population. Copyright © 2010 John Wiley & Sons, Ltd.     

Consciousness: a neurological perspective

Consciousness is a state so essentially entwined with human experience, yet so difficult to conceptually define and measure. In this article, we explore how a bidimensional model of consciousness involving both level of arousal and subjective awareness of the contents of consciousness can be used to differentiate a range of healthy and altered conscious states. These include the different sleep stages of healthy individuals and the altered states of consciousness associated with neurological conditions such as epilepsy, vegetative state and coma. In particular, we discuss how arousal and awareness are positively correlated in normal physiological states with the exception of REM sleep, while a disturbance in this relationship is characteristic of vegetative state, minimally conscious state, complex partial seizures and sleepwalking.     

Ironic effects of drawing attention to story errors

Readers learn errors embedded in fictional stories and use them to answer later general knowledge questions (Marsh, Meade, & Roediger, 2003). Suggestibility is robust and occurs even when story errors contradict well-known facts. The current study evaluated whether suggestibility is linked to participants' inability to judge story content as correct versus incorrect. Specifically, participants read stories containing correct and misleading information about the world; some information was familiar (making error discovery possible), while some was more obscure. To improve participants' monitoring ability, we highlighted (in red font) a subset of story phrases requiring evaluation; readers no longer needed to find factual information. Rather, they simply needed to evaluate its correctness. Readers were more likely to answer questions with story errors if they were highlighted in red font, even if they contradicted well-known facts. Although highlighting to-be-evaluated information freed cognitive resources for monitoring, an ironic effect occurred: Drawing attention to specific errors increased rather than decreased later suggestibility. Failure to monitor for errors, not failure to identify the information requiring evaluation, leads to suggestibility.     

Civic engagement patterns and transitions over 8 years: the AmeriCorps national study

Latent transition analysis was used to examine civic engagement transitions across 2 waves spanning 8 years in a sample of AmeriCorps participants and a comparison group (N = 1,344; 77% female). Latent indicators of civic engagement included volunteering, community participation, civic organizational involvement, local and national voting, civic consciousness, and perceptions of civic knowledge. Three latent statuses were identified; inactive, voting involved, and highly committed. Consistent with life cycle theories of political engagement, the inactive status was most prevalent at Wave 1 and the voting-involved status most prevalent at Wave 4. AmeriCorps members were less involved in voting at Wave 1 but, among voters, were more likely to become highly committed by Wave 4. Compared with those who did not attend college, those who did had higher levels of civic engagement initially and over time. Young participants and Asian youths demonstrated lower levels of involvement initially compared with older participants or White youths. Findings suggest that national service programs geared toward young people who are not in college may hold promise for addressing gaps in civic engagement.