Immoral,infectious, or both? How disgust sensitivity predicts judgments of violations against COVID-19 mitigation actions

Violations against mitigation actions to prevent the spreading of the SARS-CoV-2 virus causing COVID-19, such as not wearing a mask or not practicing social distancing, were seen as immoral and could also increase the likelihood of spreading the virus. In two studies (N1 = 318, N2 = 293), we found that moral and pathogen disgust sensitivity differentially predicted perceptions of such COVID-19 violations against mitigation actions, framed as a moral, pathogen, or on a good-bad dimension, albeit in a less specific way than initially hypothesized (e.g., regarding the pathogenic framed violations, not only pathogen but also moral disgust was associated with higher perceptions of infectiousness). These results suggest that individual differences, especially in pathogen disgust (and, more inconsistently, moral disgust), are important when evaluating violations against mitigation actions. Further research on the role of moral disgust is needed.     

Qualitative Analyse von Gruppeninteraktionen in offenen verteilten Lernumgebungen

Summary. Open learning environments support on the one hand a constructive approach to potentially open tasks and on the other hand social interaction by means of distributed systems. Beyond that they enable a detailed data acquisition and thus the focusing on the process of interaction in groups. On the basis of a distributed system with shared workspaces and structured visual representations, an approach has been developed for the analysis of collaboration on the basis of group interactions (action based collaboration analysis). This approach was implemented in a system for the automatic analysis of group interactions which uses formalizations of interaction events in predicate logic as indicators for action sequences. Tests with different groups of participants indicate the applicability of the approach and give first insights into cooperations and conflicts in shared problem solving situations. Zusammenfassung. Offene Lernumgebungen unterstützen auf der einen Seite einen konstruktiven Zugang zu potentiell offenen Aufgabenstellungen und auf der anderen Seite soziale Interaktion durch verteilte Systeme. Darüber hinaus ermöglichen sie eine detaillierte Datenerhebung und damit die Fokussierung auf den Prozeß der Interaktion in Gruppen. Auf der Grundlage eines verteilten Systems mit gemeinsamen Arbeitsbereichen und strukturierten visuellen Repräsentationen wurde ein Ansatz zur Analyse von Zusammenarbeit auf der Basis von Gruppeninteraktionen (action-based collaboration analysis) entwickelt. Dieser wurde in einem System zur automatischen Analyse von Gruppeninteraktionen implementiert, wobei prädikatenlogische Formalisierungen von Interaktionsereignissen als Indikatoren auf Aktionssequenzen dienen. Untersuchungen mit verschiedenen Versuchsgruppen zeigen die Anwendbarkeit des Ansatzes und liefern erste Einsichten in Kooperationen und Konflikte beim gemeinsamen Problemlösen.     

Spontaneous and reactive attributions following academic achievement

This paper describes two studies which deal with attributions following academic achievement. Study 1 investigated the influence of different types of instructions (spontaneous vs. reactive), self-concepts of ability (high vs. low), and outcomes (success vs. failure) on causal attributions in a school setting. Participants were 402 eighth to tenth graders. Students with a low self-concept of ability produced more attributions than students with a high self-concept. Under reactive conditions, students' attributions following success were in accordance with the self-consistency theory. Under spontaneous conditions, these students produced attributions in a self-serving way. Furthermore, success evoked more attributions than failure. In Study 2, 160 university students worked on an unfamiliar task (a computer-simulated dynamic system). The results supported the assumption that students spontaneously generate attributions to raise or at least preserve their self-esteem.     

A hierarchical latent response model for inferences about examinee engagement in terms of guessing and item-level non-response

In low-stakes assessments, test performance has few or no consequences for examinees themselves, so that examinees may not be fully engaged when answering the items. Instead of engaging in solution behaviour, disengaged examinees might randomly guess or generate no response at all. When ignored, examinee disengagement poses a severe threat to the validity of results obtained from low-stakes assessments. Statistical modelling approaches in educational measurement have been proposed that account for non-response or for guessing, but do not consider both types of disengaged behaviour simultaneously. We bring together research on modelling examinee engagement and research on missing values and present a hierarchical latent response model for identifying and modelling the processes associated with examinee disengagement jointly with the processes associated with engaged responses. To that end, we employ a mixture model that identifies disengagement at the item-by-examinee level by assuming different data-generating processes underlying item responses and omissions, respectively, as well as response times associated with engaged and disengaged behaviour. By modelling examinee engagement with a latent response framework, the model allows assessing how examinee engagement relates to ability and speed as well as to identify items that are likely to evoke disengaged test-taking behaviour. An illustration of the model by means of an application to real data is presented.     

An information-theory approach to geometry for animal groups

Animal Cognition - One of the hardest problems in studying animal behaviour is to quantify patterns of social interaction at the group level. Recent technological developments in global positioning...     

The connection between social cohesion and personality: A multilevel study in the Kyrgyz Republic

As the discourse around societal cohesion grows and policy makers increasingly turn their attention towards improving cohesion, understanding its role for the lives of individuals becomes ever more important. Our study examines whether the social cohesion of the immediate living context is related to the strength of Big Five personality traits among individuals. Using data from a community survey of 6252 adults living in 30 rural sub-districts in the Kyrgyz Republic, where social cohesion is a sizable policy concern, we conduct a multilevel analysis of the relationship between sub-district cohesion and individual personality. Results indicate that higher levels of cohesion are significantly related to higher individual levels of agreeableness, conscientiousness and openness. However, no relationship is found with extraversion or neuroticism. Thus, where a social entity has higher cohesion, this entity will also have inhabitants with a greater prosocial and communal orientation towards others, greater conscientiousness and more openness to experience. These findings imply that social cohesion may be one geographical social indicator related to variation in personality traits. Moreover, the findings suggest that understanding social cohesion requires both macro- and micro-perspectives and that its connection to these particular personality traits should be taken into consideration.