On the assessment of genetic technology: Reaching ethical judgments in the light of modern technology

The “Model for Reaching Ethical Judgments in the context of Modern Technologies — the Case of Genetic Technology”, which is presented here, has arisen from the project “Ethical Criteria bearing upon Decisions taken in the field of Biotechnology”. This project has been pursued since 1991 in the Zentrum für interdisziplinäre Technikforschung (ZIT) of the Technical University of Darmstadt, with the purpose of examining decision-making in selected activities involving the production of transgenic plants that have a useful application. The model is the basis of an outline for interviews to investigate how far decisions concerning the development of such plants with genetic techniques take ethical criteria into account. It was necessary to design this new model because other models for reaching judgments of this kind were not conceptually suited for concrete application. This model represents a problem related approach and combines methodological with substantive typology. In this it differs from comparable models for reaching ethical judgments.     

The Influence of Episodic and Thematic Frames on Policy and Group Attitudes: Mediational Analysis

An experiment examined how episodic and thematic political message frames affect attitudes toward older adults and Social Security. When exposed to messages about abolishing Social Security, participants exposed to episodic frames were significantly more likely to endorse message‐consistent attitudes than participants exposed to a thematic frame. In mediation analyses, an episodic frame featuring a counterstereotypical exemplar increased endorsement of individual responsibility for retirement planning, which then led to more negative attitudes toward Social Security. These effects did not occur with a stereotypical exemplar in an episodic frame. The same mediated pathway influenced attitudes toward older adults in a more complex manner. Results provide support for individual responsibility attributions as a mediating mechanism underlying the effects of certain episodic frames.     

Validation de l’inventaire des habiletés politiques auprès d’une population occupant un poste de directions d’établissement scolaire

A single instrument was listed to measure political skills, defined as the understanding of others and the use of that knowledge to influence their actions. It was validated with employees, although political skills were more relevant to managers and, in particular, to school principals. A single study validated the psychometric properties of the instrument with managers showing that the dimensional structure would deploy in 5 factors unlike what is observed among employees, which is deployed in 4 factors. The purpose of this study is to verify whether the tool is reliable and has a distinct structure when employed with a population occupying a management position and more particularly school principals. A total of 304 school principals completed an electronic questionnaire. The results suggest a satisfactory dimensional structure in four factors and good fidelity, which invalidates the use of a separate structure for manager including school principal, as reported by Snell et al. (2013).     

The role of the oath in credibility assessment

Based on the adaptive lie detector theory, this study is an examination of whether taking an oath, as context‐general information, increases the credibility of a suspect. The consistency of the testimonies of 6 eyewitnesses was manipulated so that it could be used as individuating information. There were 2 sets of testimonies: one that was consistent and one that was inconsistent. The results supported the adaptive lie detector theory. The participants judged those persons who took an oath to be more credible than those who did not, but this only happened in situations where the testimonies of the eyewitnesses were inconsistent. The theoretical and practical implications of the findings and future directions are then discussed.     

社会判断偏差的分化研究：人物因素的影响

实验采用投射的方法,利用图片和问题材料,考察了128名本科生对物、事、人的社会判断偏差的分化现象。实验结果表明：1）社会判断内在的宽大效应存在局限性,它是有条件限制的,受到所介入的人物因素的影响而出现分化现象;2）对物与事的评价中,突出了对性别判断标准的差异;3）在社会人的对比中,容貌、性别、背景在对同一事件的判断中发挥着重要作用,使社会判断出现偏差分化。     

Reading is believing: the truth effect and source credibility

Five experiments explored how source reliability influences people’s tendency to rate statements as more credible when they were encountered earlier (the truth effect). Undergraduates read statements from one reliable source and one unreliable source. Statements read multiple times were perceived as more valid and were more often correctly identified on a general knowledge test than statements read once or not at all. This occurred at varying retention intervals whether the statements originated from a reliable or unreliable source, when people had little memory for the statements themselves or their source, and when the discrediting information about the sources came either before or after reading the facts. While repetition aided recognition and source accuracy, both were unaffected by the reliability of the source. Consistent with the source monitoring framework, familiarity may create an illusion of truth for statements when people lack source-specifying cues, especially cues regarding the reliability of the source.     

Extracting Low-Dimensional Psychological Representations from Convolutional Neural Networks

Convolutional neural networks (CNNs) are increasingly widely used in psychology and neuroscience to predict how human minds and brains respond to visual images. Typically, CNNs represent these images using thousands of features that are learned through extensive training on image datasets. This raises a question: How many of these features are really needed to model human behavior? Here, we attempt to estimate the number of dimensions in CNN representations that are required to capture human psychological representations in two ways: (1) directly, using human similarity judgments and (2) indirectly, in the context of categorization. In both cases, we find that low-dimensional projections of CNN representations are sufficient to predict human behavior. We show that these low-dimensional representations can be easily interpreted, providing further insight into how people represent visual information. A series of control studies indicate that these findings are not due to the size of the dataset we used and may be due to a high level of redundancy in the features appearing in CNN representations.     

Alternative Lens Model Equations for Dichotomous Judgments about Dichotomous Criteria

The Brunswik lens model typically represents a judge's accuracy using parameters derived from linear regression. This is not optimal if the judgment or the ecological criterion is dichotomous. Alternative approaches, modeling dichotomies using logistic regression, or linearizing judgments with confidence ratings, have not been compared with the same data. Four techniques for deriving lens model equation parameters were compared: (i) linear and (ii) logistic regression applied to dichotomous patient outcomes and judgments; (iii) linear regression with confidence‐adjusted judgments but dichotomous patient outcomes; and (iv) a hybrid with a linear model of the confidence‐adjusted judgments and a logistic model of the patient outcomes. Judgment accuracy (r_a) was slightly higher with confidence adjustment of the categorical judgments. The logistic lens model accounted for a higher proportion of r_a than the linear lens model; the confident‐linear and hybrid lens models were intermediate. For up to a quarter of participants, different methods identified different cues as most important. Display condition differences in achievement r_a and in lens model components are similar with all lens model methods. Each of the three alternative lens model equation methods improves on the linear lens model equation's decomposition of the accuracy of dichotomous judgments. Confidence adjustment improves achievement although it requires additional work from the subjects. The logistic lens model equation explains the highest proportion of achievement, but with a small stimulus set, it is more vulnerable to cue intercorrelations than either the linear or the confident linear lens model equation. Copyright © 2016 John Wiley & Sons, Ltd.