Cognitive foundations of impartial punitive decision making in organizations: attribution and abstraction

Partial decision making about disciplinary responses to misbehavior is generally considered unfair and undermines the effectiveness of punishment. Nonetheless, organizational actors often struggle to remain impartial in situations that call for punishment. Impartiality appears specifically hard to obtain when some element of the transgression reflects badly upon the punisher themselves, for instance, when in the past the punisher has benefited from the misbehavior, even if just derivatively. In this paper, we argue that in such cases, punishers tend to defensively attribute causes of the transgression to the circumstances in order to protect their own self‐image, thus leading them to relatively lenient punishments. However, we also suggest that psychological impartiality can be obtained through cognitive abstraction. An abstract understanding (high‐level construal) of the punitive situation puts the focus squarely on the gist of the situation and makes circumstantial details less likely to be cognitively available. This hinders defensive circumstantial attribution. We show in a field study and an experiment that partiality in making decisions about punishments occurs under conditions of low‐level (i.e., concrete) construal, whereas impartiality is facilitated by high‐level (i.e., abstract) construal

Disgust sensitivity relates to attitudes toward gay men and lesbian women across 31 nations

Previous work has reported a relation between pathogen-avoidance motivations and prejudice toward various social groups, including gay men and lesbian women. It is currently unknown whether this association is present across cultures, or specific to North America. Analyses of survey data from adult heterosexuals (N = 11,200) from 31 countries showed a small relation between pathogen disgust sensitivity (an individual-difference measure of pathogen-avoidance motivations) and measures of antigay attitudes. Analyses also showed that pathogen disgust sensitivity relates not only to antipathy toward gay men and lesbians, but also to negativity toward other groups, in particular those associated with violations of traditional sexual norms (e.g., prostitutes). These results suggest that the association between pathogen-avoidance motivations and antigay attitudes is relatively stable across cultures and is a manifestation of a more general relation between pathogen-avoidance motivations and prejudice towards groups associated with sexual norm violations

Lives versus Livelihoods? Perceived economic risk has a stronger association with support for COVID-19 preventive measures than perceived health risk

This paper examines whether compliance with COVID-19 mitigation measures is motivated by wanting to save lives or save the economy (or both), and which implications this carries to fight the pandemic. National representative samples were collected from 24 countries (N = 25,435). The main predictors were (1) perceived risk to contract coronavirus, (2) perceived risk to suffer economic losses due to coronavirus, and (3) their interaction effect. Individual and country-level variables were added as covariates in multilevel regression models. We examined compliance with various preventive health behaviors and support for strict containment policies. Results show that perceived economic risk consistently predicted mitigation behavior and policy support—and its effects were positive. Perceived health risk had mixed effects. Only two significant interactions between health and economic risk were identified—both positive

Disgust sensitivity relates to attitudes toward gay men and lesbian women across 31 nations

Previous work has reported a relation between pathogen-avoidance motivations and prejudice toward various social groups, including gay men and lesbian women. It is currently unknown whether this association is present across cultures, or specific to North America. Analyses of survey data from adult heterosexuals (N = 11,200) from 31 countries showed a small relation between pathogen disgust sensitivity (an individual-difference measure of pathogen-avoidance motivations) and measures of antigay attitudes. Analyses also showed that pathogen disgust sensitivity relates not only to antipathy toward gay men and lesbians, but also to negativity toward other groups, in particular those associated with violations of traditional sexual norms (e.g., prostitutes). These results suggest that the association between pathogen-avoidance motivations and antigay attitudes is relatively stable across cultures and is a manifestation of a more general relation between pathogen-avoidance motivations and prejudice towards groups associated with sexual norm violations

So gross and yet so far away: psychological distance moderates the effect of disgust on moral judgment

People morally evaluate norm violations that occur at various distances from the self (e.g., a corrupt politician vs. a cheating spouse). Yet, distance is rarely studied as a moderator of moral judgment processes. We focus on the influence of disgust on moral judgments, as evidence here has remained inconclusive. Based on feelings as information theory and the notion that disgust evolved as a pathogen avoidance mechanism, we argue that disgust influences moral judgment of psychologically distant (vs. near) norm violations. Studies 1 and 3 show that trait disgust sensitivity (but not trait anger and fear) more strongly predicts moral judgment of distant than near violations. Studies 2 and 4 show that incidental disgust affects moral judgment of distant (vs. near) violations and that the moderating role of distance is mediated by involvement of others (vs. the self) in the evaluator's conceptualization of the violation

Gender gap in parental leave intentions: Evidence from 37 countries

This is the final version. Available from Wiley via the DOI in this record. Despite global commitments and efforts, a gender-based division of paid and unpaid work persists. To identify how psychological factors, national policies, and the broader sociocultural context contribute to this inequality, we assessed parental-leave intentions in young adults (18–30years old) planning to have children (N = 13,942; 8,880 identified as women; 5,062 identified as men) across 37 countries that varied in parental-leave policies and societal gender equality. In all countries, women intended to take longer leave than men. National parental-leave policies and women’s political representation partially explained cross-national variations in the gender gap. Gender gaps in leave intentions were paradoxically larger in countries with more gender-egalitarian parental-leave policies (i.e., longer leave available to both fathers and mothers). Interestingly, this cross-national variation in the gender gap was driven by cross-national variations in women’s (rather than men’s) leave intentions. Financially generous leave and gender-egalitarian policies (linked to men’s higher uptake in prior research) were not associated with leave intentions in men. Rather, men’s leave intentions were related to their individual gender attitudes. Leave intentions were inversely related to career ambitions. The potential for existing policies to foster gender equality in paid and unpaid work is discussed.SSHRC Insight Development GrantSSHRC Insight GrantEconomic and Social Research CouncilState Research AgencyGuangdong 13th-five Philosophy and Social Science Planning ProjectNational Natural Science Foundation of ChinaSwiss National Science FoundationSwiss National Science FoundationCenter for Social Conflict and Cohesion StudiesCenter for Intercultural and Indigenous ResearchSSHRC Postdoctoral FellowshipSlovak Research and Development AgencySwiss National Science FoundationCanada Research ChairsSocial Sciences and Humanities Research Council of CanadaOntario Ministry of Research and InnovationHSE University, RFFaculty of Arts, Masaryk Universit

Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic

Before vaccines for coronavirus disease 2019 (COVID-19) became available, a set of infection-prevention behaviors constituted the primary means to mitigate the virus spread. Our study aimed to identify important predictors of this set of behaviors. Whereas social and health psychological theories suggest a limited set of predictors, machine-learning analyses can identify correlates from a larger pool of candidate predictors. We used random forests to rank 115 candidate correlates of infection-prevention behavior in 56,072 participants across 28 countries, administered in March to May 2020. The machine-learning model predicted 52% of the variance in infection-prevention behavior in a separate test sample—exceeding the performance of psychological models of health behavior. Results indicated the two most important predictors related to individual-level injunctive norms. Illustrating how data-driven methods can complement theory, some of the most important predictors were not derived from theories of health behavior—and some theoretically derived predictors were relatively unimportant

Overview of consumer research in Western Balkan countries

A set of 205 publications from Western Balkan countries was gathered and systematically ordered as an action of the EU project 'Focus Balkans-Food Consumer Sciences in the Balkans'. Six country reports provided the base data. Methodologically, publications were split up by the use of primary or secondary data or both, as well as being a qualitative or quantitative study. Qua research concept focus on the individual (human being), on the environment or on the product itself was analysed. As research tools interviews, focus groups and experiments as well as surveys, questionnaires and on-line panel data were considered. There is in general a lack of primary data, and a disproportion between qualitative and quantitative studies in favour of quantitative in the WBC. The majority of publicationsgathered were 'environment' oriented. There is somewhat less focus on fruit than on other product groups, being organic, traditional and health claimed. Use of interviews and written questionnaires is by far the most popular. On-line panels are not yet utilized. A study of keywords listed gave quite a useful and objective impression concerning the emphasis on different topics in the various WBC publications under consideration. The keywords indicate a focus on 'market' and 'marketing' research in most countries. Consumer 'behaviour' and 'attitude' are less listed as a main keyword, while, remarkably, 'obesity' as concept is hardly mentioned. It was noted that the 'house' of scientific expertise in this field has, perhaps, a poor foundation, while 'the pillars behind consumer science' are not interrelated and fastened together. Indeed, a multidisciplinary approach is rare. There is also a lack of interaction with the international community. By far the most publications are published in the locallanguages and nearly all are written by local authors. Some of the countries conclude that there is ahuge knowledge gap on food consumers' science and that should be used as a stimulus for developing further research and knowledge transfer in this field

Numerical Simulations of Stick Percolation: Application to the Study of Structured Magnetorheological Elastomers

In this article we explore how structural parameters of composites filled with one-dimensional, electrically conducting elements (such as sticks, needles, chains, or rods) affect the percolation properties of the system. To this end, we perform Monte Carlo simulations of asymmetric two-dimensional stick systems with anisotropic alignments. We compute the percolation probability functions in the direction of preferential orientation of the percolating objects and in the orthogonal direction, as functions of the experimental structural parameters. Among these, we considered the average length of the sticks, the standard deviation of the length distribution, and the standard deviation of the angular distribution. We developed a computer algorithm capable of reproducing and verifying known theoretical results for isotropic networks and which allows us to go beyond and study anisotropic systems of experimental interest. Our research shows that the total electrical anisotropy, considered as a direct consequence of the percolation anisotropy, depends mainly on the standard deviation of the angular distribution and on the average length of the sticks. A conclusion of practical interest is that we find that there is a wide and well-defined range of values for the mentioned parameters for which it is possible to obtain reliable anisotropic percolation under relatively accessible experimental conditions when considering composites formed by dispersions of sticks, oriented in elastomeric matrices.Fil: Mietta, J. L.. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química, Física de los Materiales, Medioambiente y Energía. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química, Física de los Materiales, Medioambiente y Energía; ArgentinaFil: Negri, Ricardo Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química, Física de los Materiales, Medioambiente y Energía. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química, Física de los Materiales, Medioambiente y Energía; ArgentinaFil: Tamborenea, Pablo Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentin