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.     

Fit of Political Skill to the Work Context: A Two‐Study Investigation

A two‐study investigation was designed to examine the role of job type (i.e. fit of political skill to work context) as a contextual moderator of the political skill–job performance relationship. Specifically, it was hypothesised that political skill operates most effectively in enterprising job contexts, and thus is most predictive of job performance in such contexts, but political skill would demonstrate no relationship with job performance in job contexts that did not emphasise interpersonal interaction and effectiveness. In Study 1, enterprising job demands interacted with political skill to affect job performance. That is, political skill positively and significantly predicted job performance in enterprising job contexts, as hypothesised. Study 2 selected one specific job context (i.e. insurance sales) high in enterprising job demands, and hypothesised that political skill would significantly predict objective measures of insurance sales (i.e. sales volume, performance‐based income, performance‐based commission rate, and performance‐based status). The results demonstrated significant predictive effects of political skill (i.e. beyond age, sex, education level, tenure on the job, and experience in sales) on all four measures of sales performance. Contributions and implications of this research, strengths and limitations, and directions for future study are discussed.     

Positive Feelings at School: On the Relationships Between Students’ Character Strengths,School-Related Affect,and School Functioning

The present study was designed to examine the relationships between students’ character strengths, school-related affect, positive school functioning (i.e., motivation to learn, interest, and engagement at class), and school achievement following the “engine model of well-being” that is focusing on inputs (e.g., personality traits), processes (e.g., moods, emotions), and outcomes (e.g., engagement, accomplishments) within the context of well-being research. A sample of 196 children completed the Values in Action Inventory of Strengths for Youth, which assesses 24 character strengths, and the PANAS-C that assesses school-related positive and negative affect. Additionally, homeroom teachers rated students’ positive school functioning (i.e., motivation, engagement, and interest at school) and their overall school achievement. The character strengths of zest, love of learning, perseverance, and social intelligence showed the strongest positive correlations with school-related positive affect. Teamwork, hope, self-regulation, and love were substantially negatively correlated with school-related negative affect. Certain character strengths showed positive relationships with positive school functioning and overall school achievement. A path model, testing the “engine model of well-being”, found—additionally to direct effects—indirect relationships between character strengths and positive school functioning (through school-related positive affect), which in turn leads to higher school achievement. The presented findings show character strengths as meaningful resources in the schooling context. Character strengths emerge to be crucial for students to experience school-related positive affect, which in turn supports students’ positive school functioning and their overall school achievement. The results demonstrate the complex interplay between students’ personality traits, affect, school functioning, and achievement at school.     

Why Should I Help You? Man Up! Bystanders’ Gender Stereotypic Perceptions of a Cyberbullying Incident

Bystanders observing a cyberbullying incident do not always intervene in favor of the victim. We argue that gender stereotypic perceptions of female versus male victims contribute to the differential reactions of bystanders to cyberbullying incidents. Results of a scenario-based experiment show that participants with moderate or high levels of sexist attitudes are more empathic toward a female victim of workplace cyberbullying. Consequently, a female victim is more likely to receive help. Female victims are less likely to be attributed blame if the perpetrator is male. The results imply that male victims of cyberbullying are marginalized by their social environment.