Moral Foundations and Heterogeneity in Ideological Preferences

Scholars have documented numerous examples of how liberals and conservatives differ in considering public policy. Recent work in political psychology has sought to understand these differences by detailing the ways in which liberals and conservatives approach political and social issues. In their moral foundations theory, Haidt and Joseph contend the divisions between liberals and conservatives are rooted in different views of morality. They demonstrate that humans consistently rely on five moral foundations. Two of these foundations—harm and fairness—are often labeled the individualizing foundations, as they deal with the role of individuals within social groups; the remaining three foundations—authority, ingroup loyalty, and purity—are the binding foundations as they pertain to the formation and maintenance of group bonds. Graham, Haidt, and Nosek demonstrate that liberals tend to disproportionately value the individualizing foundations, whereas conservatives value all five foundations equally. We extend this line of inquiry by examining whether different types of liberals and conservatives value the moral foundations to varying degrees. Using survey data (n = 745), we rely on a mixed‐mode latent class analysis and identify six ideological classes that favor unique social and fiscal policy positions. While most of the respondents belonging to these classes self‐identify as conservative, they endorse the moral foundations in varying degrees. Since our findings demonstrate considerable heterogeneity with respect to ideology and moral preferences, we conclude by encouraging scholars to consider this heterogeneity in detailing the motivational and psychological foundations of ideological belief.     

Keyboard Gangsters: Analysis of Incidence and Correlates of Cyberbullying in a Large Urban Student Population

The prevalence and pervasive nature of technology has fundamentally changed how individuals interact. Social networking has significantly altered communication and interaction patterns and created a dynamic venue for perpetration and victimization of bullying. A large population of middle and high school students was surveyed on perceptions and engagement in drug and alcohol usage, school violence, social networking usage, and cyberbullying victimization and perpetration. Findings indicate that although cyberbullying has many similarities to traditional bullying, there are important differences. Participation in school violence and usage of alcohol, tobacco, and illegal drugs predict both victimization and perpetration of cyberbullying.     

The World Wide Wait: Exploring Physiological and Behavioral Effects of Download Speed

ABSTRACT

When people use humorous media content, their behavior and assessments of the content may depend on the emotional expressions (e.g., laughter) of those around them. In a laboratory experiment in which 80 participants watched a movie clip with a confederate who either laughed or remained silent, we identified two parallel processes. The confederate’s laughter induced behavioral responses in our participants (laughing or smiling). Through those responses, a corresponding appraisal of the media content was generated: The content was rated funnier in comparison to situations in which the confederate did not laugh. This effect corresponds to emotional contagion processes and was especially pronounced in introverts. Additionally, participants who were low in conscientiousness directly elevated their funniness ratings (more than their own emotional expressions would suggest) when the confederate laughed. Those who were high in conscientiousness, however, lowered their ratings of the content’s funniness in the presence of a laughing confederate. This finding suggests the existence of an additional cognitive process that links confederate’s laughter and participant’s content ratings beyond automatic contagion. Participants with low conscientiousness use the confederate’s laughter as a heuristic cue for the content’s funniness, while highly conscientious participants discount the confederate’s laughter as a cue for content funniness.     

Reproducibility of functional network metrics and network structure: A comparison of task-related BOLD, resting ASL with BOLD contrast, and resting cerebral blood flow

Network analysis is an emerging approach to functional connectivity in which the brain is construed as a graph and its connectivity and information processing estimated by mathematical characterizations of graphs. There has been little to no work examining the reproducibility of network metrics derived from different types of functional magnetic resonance imaging (fMRI) data (e.g., resting vs. task related, or pulse sequences other than standard blood oxygen level dependent [BOLD] data) or of measures of network structure at levels other than summary statistics. Here, we take up these questions, comparing the reproducibility of graphs derived from resting arterial spin-labeling perfusion fMRI with those derived from BOLD scans collected while the participant was performing a task. We also examine the reproducibility of the anatomical connectivity implied by the graph by investigating test–retest consistency of the graphs’ edges. We compare two measures of graph-edge consistency both within versus between subjects and across data types. We find a dissociation in the reproducibility of network metrics, with metrics from resting data most reproducible at lower frequencies and metrics from task-related data most reproducible at higher frequencies; that same dissociation is not recapitulated, however, in network structure, for which the task-related data are most consistent at all frequencies. Implications for the practice of network analysis are discussed.     

Foreign accent strength and listener familiarity with an accent codetermine speed of perceptual adaptation

We investigated how the strength of a foreign accent and varying types of experience with foreign-accented speech influence the recognition of accented words. In Experiment 1, native Dutch listeners with limited or extensive prior experience with German-accented Dutch completed a cross-modal priming experiment with strongly, medium, and weakly accented words. Participants with limited experience were primed by the medium and weakly accented words, but not by the strongly accented words. Participants with extensive experience were primed by all accent types. In Experiments 2 and 3, Dutch listeners with limited experience listened to a short story before doing the cross-modal priming task. In Experiment 2, the story was spoken by the priming task speaker and either contained strongly accented words or did not. Strongly accented exposure led to immediate priming by novel strongly accented words, while exposure to the speaker without strongly accented tokens led to priming only in the experiment’s second half. In Experiment 3, listeners listened to the story with strongly accented words spoken by a different German-accented speaker. Listeners were primed by the strongly accented words, but again only in the experiment’s second half. Together, these results show that adaptation to foreign-accented speech is rapid but depends on accent strength and on listener familiarity with those strongly accented words.     

Cloninger's Temperament and Character Inventory Correlates with Personality Characteristics of Organ Donation Advocates

Temperament and Character Inventory (TCI) and background questionnaire data were collected from a sample of men and women organ donation advocates (N = 362) as part of a national study to investigate their personality characteristics, temperaments, and attitudes about organ donation advocacy. Goals included identifying unique traits for advocates, and response consistency between the TCI and questionnaire. The TCI results included high scores on Cooperativeness and Self-Directedness, and low on Harm Avoidance dimensions. The questionnaire results indicated that most advocates were White, married, college-educated females, who typically spent less than 2 hr with potential donor families, were satisfied with life and job, and believed they would be in a donation position 2 years from the time surveyed. TCI and questionnaire measures were correlated for Self-Transcendence and Spirituality, Helpfulness and Job Satisfaction, and Compassion and Identification variables.     

The Reason to Contribute to Cooperative Schemes

Philosophical Studies -     

Episodic Learner Modeling

Modeling the learner is a central aspect of intelligent tutoring systems and knowledge-based help systems that support learners in complex problem-solving domains. In this article, the episodic learner model ELM is introduced as a hybrid system that analyses novices' solutions to programming tasks based on both rule-based and case-based reasoning. ELM behaves like to a human tutor. Initially, ELM is able to analyze problem solutions based only on its domain knowledge. With increasing knowledge about a particular learner captured in a dynamic episodic case base, it adapts to the learner's individual problem-solving behavior. Two simulation studies were performed to validate the system. The first study shows that the system can learn which rules are applied successfully to diagnose code produced by programmers and that using this information reduces the computational effort of diagnoses. Using information from the episodic learner model additionally speeds up the diagnostic process. The second study shows that ELM is able to predict individual solutions. Finally, correspondences and differences to related systems are discussed.