Evaluating the Meta-Slope: Is there a Slippery Slope Argument against Slippery Slope Arguments?

Slippery slope arguments (SSAs) have often been viewed as inherently weak arguments, to be classified together with traditional fallacies of reasoning and argumentation such as circular arguments and arguments from ignorance. Over the last two decades several philosophers have taken a kinder view, often providing historical examples of the kind of gradual change on which slippery slope arguments rely. Against this background, Enoch (2001, Oxford Journal of Legal Studies 21(4), 629–647) presented a novel argument against SSA use that itself invokes a slippery slope. Specifically, he argued that the very reasons that can make SSAs strong arguments mean that we should be poor at abiding by the distinction between good and bad SSAs, making SSAs inherently undesirable. We argue that Enoch’s meta-level SSA fails on both conceptual and empirical grounds.     

Editorial

Ohne Zusammenfassung     

Time of day, Intellectual Performance, and Behavioral Problems in Morning Versus Evening type Adolescents: Is there a Synchrony Effect?

We administered measures of fluid and crystallized intelligence to Morning- and Evening-type adolescents who were tested either during a morning session or an afternoon session, at times chosen to reflect the limits of the average school day schedule. For the fluid intelligence measures, there was a synchrony effect, with better performance at times that matched individuals' preferences. A composite measure of the subtests used (block design, digit span, and vocabulary) computed to a 6 point difference in IQ estimates. We also assessed the behavioral adjustment of these participants and found heightened levels of maladaptive behavior for Evening-type adolescents. Adolescents tested at their nonoptimal times of day and adolescents who are Evening-types appear to be at risk for poor academic performance and Evening-types appear to be at risk for behavioral adjustment problems.     

The Appeal to Expert Opinion: Quantitative Support for a Bayesian Network Approach

The appeal to expert opinion is an argument form that uses the verdict of an expert to support a position or hypothesis. A previous scheme‐based treatment of the argument form is formalized within a Bayesian network that is able to capture the critical aspects of the argument form, including the central considerations of the expert's expertise and trustworthiness. We propose this as an appropriate normative framework for the argument form, enabling the development and testing of quantitative predictions as to how people evaluate this argument, suggesting that such an approach might be beneficial to argumentation research generally. We subsequently present two experiments as an example of the potential for future research in this vein, demonstrating that participants' quantitative ratings of the convincingness of a proposition that has been supported with an appeal to expert opinion were broadly consistent with the predictions of the Bayesian model.     

The Heritability of Job Satisfaction Reconsidered: Only Unique Environmental Influences Beyond Personality

Purpose

The purpose of this study was to investigate the degree to which genetic and environmental influences explain differences in job satisfaction and its relationship to personality in order to explain the heritability of job satisfaction.

Design

Behavior genetic analyses are based on a dataset containing 622 individuals, including 185 MZ (M = 39.5 years) and 126 DZ twin pairs (M = 40.1 years).

Findings

The results showed that all genetic influences (28 %) on job satisfaction could be explained by its relation to personality, especially Neuroticism, Extraversion, and Conscientiousness, representing a high genetic overlap between job satisfaction and personality. Non-shared environmental influences explained the remaining three fourths of the variance.

Implications

By showing that genetic influences of job satisfaction overlap completely with personality, including common non-additive genetic influences, the results support an interactionist view of job satisfaction in that both situational and dispositional determinants of job satisfaction are relevant.

Originality

In contrast to previous studies, we used a more appropriate behavior genetic approach meaning that our approach allows to directly estimate parameters of specific and common (additive and non-additive) genetic and environmental influences. Building on this, interpretations of behavior genetic findings were explained in detail to avoid common misunderstandings.

     

Dissecting the time course of person recognition in natural viewing environments

Person recognition often unfolds over time and distance as a person approaches, with the quality of identity information from faces, bodies, and motion in constant flux. Participants were familiarized with identities using close‐up and distant videos. Recognition was tested with videos of people approaching from a distance. We varied the timing of prompted responses in the test videos, the amount of video seen, and whether the face, body, or whole person was visible. A free response condition was also included to allow participants to respond when they felt ‘confident’. The pattern of accuracy across conditions indicated that recognition judgments were based on the most recently available information, with no contribution from qualitatively diverse and statistically useful person cues available earlier in the video. Body recognition was stable across viewing distance, whereas face recognition improved with proximity. The body made an independent contribution to recognition only at the farthest distance tested. Free response latencies indicated meta‐knowledge of the optimal proximity for recognition from faces versus bodies. Notably, response bias varied strongly as a function of participants’ expectation about whether closer proximity video was forthcoming. These findings lay the groundwork for developing person recognition theories that generalize to natural viewing environments.