Uncertainty and Expectation in Sentence Processing: Evidence From Subcategorization Distributions

There is now considerable evidence that human sentence processing is expectation based: As people read a sentence, they use their statistical experience with their language to generate predictions about upcoming syntactic structure. This study examines how sentence processing is affected by readers' uncertainty about those expectations. In a self‐paced reading study, we use lexical subcategorization distributions to factorially manipulate both the strength of expectations and the uncertainty about them. We compare two types of uncertainty: uncertainty about the verb's complement, reflecting the next prediction step; and uncertainty about the full sentence, reflecting an unbounded number of prediction steps. We find that uncertainty about the full structure, but not about the next step, was a significant predictor of processing difficulty: Greater reduction in uncertainty was correlated with increased reading times (RTs). We additionally replicated previously observed effects of expectation violation (surprisal), orthogonal to the effect of uncertainty. This suggests that both surprisal and uncertainty affect human RTs. We discuss the consequences for theories of sentence comprehension.     

Aspects of fear of personal death,levels of awareness,and religious commitment

This study used a multidimensional and multilevel approach to study the relation between fear of death and religious commitment. A multidimensional self-report measure of fear of personal death, four TAT cards known to elicit a relatively high frequency of death themes, and an index of Jewish religious commitment were administered to 178 young male Jewish Israelis. Unidimensional and multidimensional analysis of these measures suggested that Jewish religious commitment is related to a heightened specific sensitivity to death at different levels of awareness.     

Sexism and racism perceptions: It depends on who does it and why

Outgroup perpetrators of discrimination are perceived as more biased than ingroup perpetrators, potentially because perpetrator group membership drives inferences regarding their motivation to discriminate. Consequently, when outgroup perpetrators provide hostile justification, greater discrimination and illegitimacy will be perceived compared to when ingroup perpetrators do so. In contrast, benevolent justifications reduce differences in discrimination and illegitimacy perception for outgroup versus ingroup perpetrators. In two experiments (Ns = 243; 382) dealing with sexism and racism, results supported our reasoning that the perpetrator’s explicit justification moderates the influence of the perpetrator’s group membership on discrimination and illegitimacy perception. Results of a third experiment (N = 489) show that when no justifications are provided, the prototype effect on discrimination perception mirrors the prototype effect under hostile justification, but not under benevolent justification. The results are more mixed concerning perceived illegitimacy. We discuss the implications of these findings regarding the processes underlying the prototype effect.     

The color-vision approach to emotional space: Cortical evoked potential data

A framework for accounting for emotional phenomena proposed by Sokolov and Boucsein (2000) employs conceptual dimensions that parallel those of hue, brightness, and saturation in color vision. The approach that employs the concepts of emotional quality, intensity, and saturation has been supported by psychophysical emotional scaling data gathered from a few trained observers. We report cortical evoked potential data obtained during the change between different emotions expressed in schematic faces. Twenty-five subjects (13 male, 12 female) were presented with a positive, a negative, and a neutral computer-generated face with random interstimulus intervals in a within-subjects design, together with four meaningful and four meaningless control stimuli made up from the same elements. Frontal, central, parietal, and temporal ERPs were recorded from each hemisphere. Statistically significant outcomes in the P300 and N200 range support the potential fruitfulness of the proposed color-vision-model-based approach to human emotional space.     

Assessing People's General Ecological Behavior: A Cross‐Cultural Measure1

The present study aims to further develop the General Ecological Behavior (GEB) scale in order to apply it cross‐culturally. The scale is proposed to be relatively open, neither bound to a particular set of ecological behaviors nor to a particular questionnaire response format. Questionnaire data from 686 California students were compared with the original Swiss calibration data. Reliability, internal consistency, and discriminant validity revcal that the GEB could be applied to the California students as well as to the Swiss sample, which consisted of older adults. Because the GEB measure makes use of behavior difficulties–caused by situational influences‐the proposed approach also guides the search for political actions that could promote changes in more ecologically behaving societies.     

Stereotypes as Pseudocontingencies

We introduce a heuristic called pseudocontingencies (PCs) as an alternative account of various stereotyping phenomena. PCs give rise to the expectation that attributes are correlated based solely on asymmetries in attribute base rates. Attributes that are encountered frequently and attributes that are encountered rarely are perceived to be correlated with each other. Such differences in information densities are typical of many stereotyped targets, including the self vs. others, the in-group vs. out-groups and majority vs. minority groups. Evidence is reviewed for PCs underlying illusory correlations, confirmation biases, gender stereotypes, Simpson’s paradox, and in procedures used for implicit stereotype measurement. PCs are shown to predict specific patterns of self-enhancement and self-depreciation, the effects of intergroup contact on in-group biases and the readiness to infer stereotypes from aggregated “big-data”. Although PCs can lead to seriously flawed stereotypic expectations, they afford an efficient and possibly adaptive inference strategy.     

Intra-EU Migration: Legal and Economic View on Jobseekers’ Welfare Rights

International migration influences economies of both the home and the host country. Some countries perceive immigration as a threat and consider limitations to their social security system to protect the domestic economy. Within the European Union, both the economic and the legal side of the issue must be taken into account. The paper presents an empirical analysis of natives’ and immigrants’ unemployment rates in EU15 countries and discusses a possible use of the findings in intra-EU migration policy. Using Labour Force Survey Data for 2012, we estimate a series of logistic regressions in order to compare the immigrant/native unemployment rates, considering the differences in the structure of both subpopulations (in terms of age, sex, education and types of jobs). We conclude that a substantial part of the gap between natives’ and immigrants’ unemployment rates can be explained by these additional characteristics in most of the EU15 countries.     

Take a risk or proceed with caution: Prevention motivation moderates responses to near-loss events

A persistently pressing issue identified in the decision-making literature is that people not only fail to recognize the risks entailed in a near-loss event but also subsequently engage in further risk-taking. We contend in this paper that prevention motivation critically regulates decision-makers' responses to a near-loss. Across three studies, we found that high prevention-focused individuals perceive greater risks in a near-loss event and are subsequently less likely to take risks, compared with low prevention-focused individuals. This finding highlights the significance of applying a motivational perspective to studying decision-making and risk.     

Evidence for a Data-Based Environmental Policy: Induction of a Behavior-Based Decision Support System

To advise policy‐makers about possible courses of action in the environmental domain, psychological science should employ a support system that allows for evidence‐based decisions with respect to the three generic policy questions: what, where, and how. The key to such a system is a measurement instrument in which environmental motivation becomes tangible in individual actions. In this article, we provide empirical examples of such a decision support system in the environmental domain. It consists of (a) evidence about environmental motivation of persons, (b) evidence about motivation's spatial distribution, (c) knowledge about the socio‐cultural conditions that affect individuals when they translate motivation into action (i.e. structural information), and (d) a forecast of the environmental impact—the concrete conservation potential of various behaviors. Pour conseiller les décideurs à propos de lignes de conduite possibles dans le domaine de l’environnement, la science psychologique devrait utiliser un système qui tienne compte des décisions provenant des trois questions génériques suivantes: quoi, ou et comment? La clé d’un tel système consiste en un instrument de mesure dans lequel la motivation environnementale devient tangible dans les actions individuelles. Dans cet article, nous prenons des exemples empiriques de telles aides à la décision dans le domaine de l’environnement. Peut être ainsi montré a) la motivation environnementale des personnes, b) la distribution spatiale de la motivation, c) l’influence de la connaissance des conditions socioculturelles des individus quand ils transforment motivation en action (i.e. information structurale) et (d) la prévision de l’impact environnemental sur le maintien potentiel de divers comportements.