Birth Order Position and Prosocial Tendencies

This study investigated the relationship between psychological birth order position and different types and levels of prosocial tendencies. An ex postfacto, between-family research design was used. Data on prosocial tendencies were obtained from 888 college students (females = 80.4%, mean age = 20.94 yrs, SD = 2.83; males = 19.6%, mean age = 21.62 yrs, SD = 2.44). Participants completed a biographical questionnaire as well as the Prosocial Tendencies Measure (Carlo & Randall, 2002). Data were analysed to compare and contrast prosocial tendencies between demographics using parametric ANOVAs, t tests and the Mann-Whitney Test. Significant differences in prosocial tendency scores were only found between middle-borns and last-borns on altruism, with middle-borns scoring significantly higher in prosocial tendencies than last-borns. There is no evidence to suggest that a definitive link between prosocial tendencies and birth order exists in this study.     

Hearing Impairment, Coping Strategies, and Anxiety Sensitivity

The aim was to study coping strategies among hearing-impaired individuals by using a validated coping instrument—The Ways of Coping Questionnaire (WOCQ; S. Folkman & R. Lazarus, 1988)—and to relate the use of coping with anxiety sensitivity and experience of hearing impairment. A questionnaire booklet was sent out to the members of the local branch of the Swedish Hard of Hearing Association. Ninety-four members responded to the questionnaire, yielding a 53% response rate. Primary outcome measures were the WOCQ, the Anxiety Sensitivity Index, and visual analogue scale rating of discomfort from hearing impairment. Repeated measures analysis of WOCQ subscales showed that the participants used planful problem solving and self-controlling coping strategies whereas escape/avoidance responses were less frequently used than the other coping strategies. Anxiety sensitivity was associated with escape/avoidance coping (r = .63, p < .0001). In conclusion, hearing-impaired individuals do not use escape/avoidance coping more than other coping strategies. However, escape/avoidance coping is associated with anxiety sensitivity, suggesting that sensitivity to anxiety sensations is an important associated factor. Coping strategies were not associated with discomfort from hearing impairment in any meaningful way.     

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.     

Stalnaker on Mathematical Information

Robert Stalnaker has argued that mathematical information is information about the sentences and expressions of mathematics. I argue that this metalinguistic account is open to a variant of Alonzo Church's translation objection and that Stalnaker's attempt to get around this objection is not successful. If correct, this tells not only against Stalnaker's account of mathematical truths, but against any metalinguistic account of truths that are both necessary and informative.     

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.     

Detection of differential item functioning in Rasch models by boosting techniques

Methods for the identification of differential item functioning (DIF) in Rasch models are typically restricted to the case of two subgroups. A boosting algorithm is proposed that is able to handle the more general setting where DIF can be induced by several covariates at the same time. The covariates can be both continuous and (multi‐)categorical, and interactions between covariates can also be considered. The method works for a general parametric model for DIF in Rasch models. Since the boosting algorithm selects variables automatically, it is able to detect the items which induce DIF. It is demonstrated that boosting competes well with traditional methods in the case of subgroups. The method is illustrated by an extensive simulation study and an application to real data.