Clashes of consensus: on the problem of both justifying abortion of fetuses with Down syndrome and rejecting infanticide

Although the abortion of fetuses with Down syndrome has become commonplace, infanticide is still widely rejected. Generally, there are three ways of justifying the differentiation between abortion and infanticide: by referring to the differences between the moral status of the fetus versus the infant, by referring to the differences of the moral status of the act of abortion versus the act of infanticide, or by separating the way the permissibility of abortion is justified from the way the impermissibility of infanticide is justified. My argument is that none of these ways justifies the abortion of fetuses diagnosed with Down syndrome while simultaneously rejecting infanticide. Either the justification for abortion is consistent with infanticide, or it is implausible to justify abortion while rejecting infanticide. I conclude the article by making some preliminary remarks about how one might manage the situation posed by my argument.     

Real-time sharing of gaze data between multiple eye trackers–evaluation,tools, and advice

Technological advancements in combination with significant reductions in price have made it practically feasible to run experiments with multiple eye trackers. This enables new types of experiments with simultaneous recordings of eye movement data from several participants, which is of interest for researchers in, e.g., social and educational psychology. The Lund University Humanities Laboratory recently acquired 25 remote eye trackers, which are connected over a local wireless network. As a first step toward running experiments with this setup, demanding situations with real time sharing of gaze data were investigated in terms of network performance as well as clock and screen synchronization. Results show that data can be shared with a sufficiently low packet loss (0.1 %) and latency (M = 3 ms, M A D = 2 ms) across 8 eye trackers at a rate of 60 Hz. For a similar performance using 24 computers, the send rate needs to be reduced to 20 Hz. To help researchers conduct similar measurements on their own multi-eye-tracker setup, open source software written in Python and PsychoPy are provided. Part of the software contains a minimal working example to help researchers kick-start experiments with two or more eye trackers.     

The broad embrace of luxury: Hedonic potential as a driver of brand extendibility

This research proposes a feelings-based account of brand extension evaluation and demonstrates that the promise of pleasure (hedonic potential) associated with luxury brands is a key driver of brand extendibility. In four studies, we contrast a luxury brand with a value brand. Both brand concepts lead to equally favorable brand evaluations, but the luxury brand concept results in more favorable brand extension evaluations due to the hedonic potential inherent in this concept. However, the luxury brand is shown to be sensitive to inconsistent brand cues, leading to diminished hedonic potential and consequently decreased brand and brand extension evaluations.     

Piece of cake? Allocating rewards to third parties when fairness is costly

Reactions to third-party inequality were investigated in three experiments. In Experiment 1, 52 undergraduates allocated money between themselves and two others. Preferences for equal and unequal distributions were also rated. The results show that people are averse to inequalities between themselves and others, and to inequalities between others. Post-experimental ratings indicate that egocentric equality, third-party equality, and max–min preferences are important motives. The findings were replicated in Experiment 2, where 74 undergraduates allocated compensation for a previously conducted task, and in Experiment 3, where 112 participants rated preferences. In these experiments random determination of rewards to third parties altered participants’ behavior and preferences. The results indicated that random determination decreases the importance of all fairness motives while increasing the importance of monetary payoff. While people still care about economic equality under these conditions, contextual factors, such as perceived responsibility for unfair outcomes, seem to alter the impact of fairness.     

Constructivist coding: learning from selective feedback

Although much learning in real-life environments relies on highly selective feedback about outcomes, virtually all cognitive models of learning, judgment, and categorization assume complete and representative feedback. We investigated empirically the effect of selective feedback on decision making and how people code experience with selective feedback. The results showed that, in contrast to a commonly raised concern, performance was not impaired following learning with selective and biased feedback. Furthermore, even in a simple decision task, the experience that people acquired was not a mere recording of the observed outcomes, but rather a reconstruction from general task knowledge.     

Adaptive changes between cue abstraction and exemplar memory in a multiple-cue judgment task with continuous cues

The majority of previous studies on multiple-cue judgment with continuous cues have involved comparisons between judgments and multiple linear regression models that integrated cues into a judgment. The authors present an experiment indicating that in a judgment task withadditive combination of multiple continuous cues, people indeed displayed abstract knowledge of the cue criterion relations that was mentally integrated into a judgment, but in a task withmultiplicative combination of continuous cues, people instead relied on retrieval of memory traces of similar judgment cases (exemplars). These results suggest that people may adopt qualitatively distinct forms of knowledge, depending on the structure of a multiple-cue judgment task. The authors discuss implications for theories of multiple-cue judgment.     

Development and Validation of the Personal Values Dictionary: A Theory-Driven Tool for Investigating References to Basic Human Values in Text

Estimating psychological constructs from natural language has the potential to expand the reach and applicability of personality science. Research on the Big Five has produced methods to reliably assess personality traits from text, but the development of comparable tools for personal values is still in the early stages. Based on the Schwartz theory of basic human values, we developed a dictionary for the automatic assessment of references to personal values in text. To refine and validate the dictionary, we used Facebook updates, blog posts, essays, and book chapters authored by over 180 000 individuals. The results show high reliability for the dictionary and a pattern of correlations between the value types in line with the circumplex structure. We found small to moderate (r_s = .1–.4) but consistent correlations between dictionary scores and self-reported scores for 7 out of 10 values. Correlations between the dictionary scores and age, gender, and political orientation of the author and scores for other established dictionaries mostly followed theoretical predictions. The Personal Values Dictionary can be used to assess references to value orientations in textual data, such as tweets, blog posts, or status updates, and will stimulate further research in methods to assess human basic values from text.     

Early drinking onset: A study of prevalence and determinants among 13‐year‐old adolescents in Norway

Early drinking onset is associated with different psychosocial adjustment problems among adolescents. The aim of this study was to assess determinants associated with early drinking and to identify factors predicting early drinking onset among adolescents. The study included 1,550 eighth‐graders with a mean age of 13.5 years from 41 schools. A total of 24% (boys 29%, girls 19%) had ever drunk alcohol, while 14% had drunk some alcohol in the last 30 days. Further, early drinking was associated with gender, religion, school performance, smoking and bullying in the bivariate tests. Predictors of early drinking onset were identified by generalized linear mixed models with two multivariable models created. The first model included social and environmental variables. Entering intentions, expectancies, attitudes and norms into the multivariable analysis resulted in a significant improvement of the model fit constituting 86% in the second model. The percentage correctly classified those (56%) who had been drinking in the second model which was two times higher compared to the first model. Gender, religion and smoking emerged as significant predictors of drinking in both models.