Personality subtypes of young drivers. Relationship to risk-taking preferences, accident involvement, and response to a traffic safety campaign

The present study aimed at identifying subtypes of young drivers (N=2524) and evaluate how these responded to a traffic safety campaign. On basis of a cluster analysis of personality measures, six subtypes of young drivers were identified. The subtypes were found to differ on self-reported risky driving behaviour, attitudes towards traffic safety, risk perception, estimation of own driving skills, and accident involvement. Two of the subtypes were identified as high-risk groups in traffic. The first high-risk group consisted of mostly men, characterised by low levels of altruism and anxiety, and high levels of sensation-seeking, irresponsibility, and driving related aggression. The second high-risk group reported high sensation seeking, aggression, anxiety, and driving anger. The subtypes were also found to differ on how they evaluated and responded to the traffic safety campaign. The results indicated that the campaign seemed to appeal most to the low-risk subtypes. Gender differences within each subtype were also found on the different traffic related measures, as well as on response to the campaign. It is concluded that young drivers should not be treated as a homogenous group pertaining to road safety. Practical suggestions on how to promote safe driving among these subtypes are also discussed.     

Can we disregard the whole model? Omnibus non-inferiority testing for R2 in multi-variable linear regression and in ANOVA

Determining a lack of association between an outcome variable and a number of different explanatory variables is frequently necessary in order to disregard a proposed model (i.e., to confirm the lack of a meaningful association between an outcome and predictors). Despite this, the literature rarely offers information about, or technical recommendations concerning, the appropriate statistical methodology to be used to accomplish this task. This paper introduces non-inferiority tests for ANOVA and linear regression analyses, which correspond to the standard widely used F test for and R², respectively. A simulation study is conducted to examine the Type I error rates and statistical power of the tests, and a comparison is made with an alternative Bayesian testing approach. The results indicate that the proposed non-inferiority test is a potentially useful tool for ‘testing the null’.     

Use of experimenter-given cues in dogs

Since the observations of O. Pfungst the use of human-provided cues by animals has been well-known in the behavioural sciences (“Clever Hans effect”). It has recently been shown that rhesus monkeys (Macaca mulatta) are unable to use the direction of gazing by the experimenter as a cue for finding food, although after some training they learned to respond to pointing by hand. Direction of gaze is used by chimpanzees, however. Dogs (Canis familiaris) are believed to be sensitive to human gestural communication but their ability has never been formally tested. In three experiments we examined whether dogs can respond to cues given by humans. We found that dogs are able to utilize pointing, bowing, nodding, head-turning and glancing gestures of humans as cues for finding hidden food. Dogs were also able to generalize from one person (owner) to another familiar person (experimenter) in using the same gestures as cues. Baseline trials were run to test the possibility that odour cues alone could be responsible for the dogs’ performance. During training individual performance showed limited variability, probably because some dogs already “knew” some of the cues from their earlier experiences with humans. We suggest that the phenomenon of dogs responding to cues given by humans is better analysed as a case of interspecific communication than in terms of discrimination learning. Received: 30 May 1998 / Accepted after revision: 6 September 1998     

“God as Friend”: Metaphoric Theology in Pastoral Care

Because of postmodernity's claim of deconstruction, the naming of God has become a crucial issue for a hermeneutics of pastoral care. Inadequate and inappropriate perceptions of God, because of specific experiences of faith, create unhelpful images of God which eventually lead to a pathology of faith. Taking into consideration the figurative means of symbolic language and its rootedness in culture, this article explores the possibility of the metaphor, God as Friend, in order to move beyond the paradigm of the suffering God (theopaschitic theology) to the paradigm of the faithful God—God as our Soul Friend.     

Exposing information sharing as strategic behavior: power as responsibility and “Trust” buttons

Online platforms' success depends on individual's information sharing (IS). However, previous research showed that “knowledge is power” is a default‐perception in organizations and that individuals share relatively unimportant information while keeping the important private information for themselves. Trust has also been identified as important enabler of IS. We examined the role of power construed as responsibility for others' outcomes and of a “Trust” button, a theory‐inspired technological feature, using a 2(Power construals: opportunity vs. responsibility) × 2(Buttons: “Like” vs. “Like‐or‐Trust”) × 2(Information sharedness as within‐subjects factor; public, private) design. Findings showed that construing power as responsibility and “Trust” button's presence increased the sharing of private information; clicking behavior yielded insights into the underlying mechanisms. Theoretical and practical implications are discussed.     

A Simple Simulation Technique for Nonnormal Data with Prespecified Skewness,Kurtosis, and Covariance Matrix

We present and investigate a simple way to generate nonnormal data using linear combinations of independent generator (IG) variables. The simulated data have prespecified univariate skewness and kurtosis and a given covariance matrix. In contrast to the widely used Vale-Maurelli (VM) transform, the obtained data are shown to have a non-Gaussian copula. We analytically obtain asymptotic robustness conditions for the IG distribution. We show empirically that popular test statistics in covariance analysis tend to reject true models more often under the IG transform than under the VM transform. This implies that overly optimistic evaluations of estimators and fit statistics in covariance structure analysis may be tempered by including the IG transform for nonnormal data generation. We provide an implementation of the IG transform in the R environment.     

Chewing Over In Vitro Meat: Animal Ethics,Cannibalism and Social Progress

Despite its potential for radically reducing the harm inflicted on nonhuman animals in the pursuit of food, there are a number of objections grounded in animal ethics to the development of in vitro meat. In this paper, I defend the possibility against three such concerns. I suggest that worries about reinforcing ideas of flesh as food and worries about the use of nonhuman animals in the production of in vitro meat can be overcome through appropriate safeguards and a fuller understanding of the interests that nonhuman animals actually possess. Worries about the technology reifying speciesist hierarchies of value are more troublesome, however. In response to this final challenge, I suggest that we should be open not just to the production of in vitro nonhuman flesh, but also in vitro human flesh. This leads to a consideration of the ethics of cannibalism. The paper ultimately defends the position that cannibalism simpliciter is not morally problematic, though a great many practices typically associated with it are. The consumption of in vitro human flesh, however, is able to avoid these problematic practices, and so should be considered permissible. I conclude that animal ethicists and vegans should be willing to cautiously embrace the production of in vitro flesh.