A Quantitative Empirical Analysis of the Abstract/Concrete Distinction

This study presents original evidence that abstract and concrete concepts are organized and represented differently in the mind, based on analyses of thousands of concepts in publicly available data sets and computational resources. First, we show that abstract and concrete concepts have differing patterns of association with other concepts. Second, we test recent hypotheses that abstract concepts are organized according to association, whereas concrete concepts are organized according to (semantic) similarity. Third, we present evidence suggesting that concrete representations are more strongly feature‐based than abstract concepts. We argue that degree of feature‐based structure may fundamentally determine concreteness, and we discuss implications for cognitive and computational models of meaning.     

Changes in Roman Catholic Beliefs and Practices in Ireland between 1981 and 2008 and the Emergence of the Liberal Catholic

This study aimed to investigate the changes that have occurred in the religious beliefs and practices of Roman Catholics in Ireland between 1981 and 2008 and to examine the extent to which Catholics have become liberal in their attitudes towards social issues over this period. Data were derived from 23 religious indicators and six social items sourced from the European Values Study (EVS). Only Roman Catholic respondents (n=3810) were included in the analysis. Data were analysed using ANOVA, t-tests, and chi-square tests. The majority of religious indicators were found to be in significant decline between 1981 and 2008. Also, Catholic attitudes towards homosexuality, euthanasia, abortion, prostitution, divorce, and the use of ‘soft drugs’ were found to have become significantly more liberal over this period. These findings support not only the notions of privatisation of religion and morality but also the emergence of a liberal ethos among a considerable proportion of Catholics in Ireland. Results are discussed in relation to theories of secularisation, believing without belonging, and the emergence of Liberal Catholics. Suggestions for future research, such as investigating the effect of conflict between one’s Catholic identity and liberal views, are made.     

Statistical Learning of Unfamiliar Sounds as Trajectories Through a Perceptual Similarity Space

In typical statistical learning studies, researchers define sequences in terms of the probability of the next item in the sequence given the current item (or items), and they show that high probability sequences are treated as more familiar than low probability sequences. Existing accounts of these phenomena all assume that participants represent statistical regularities more or less as they are defined by the experimenters—as sequential probabilities of symbols in a string. Here we offer an alternative, or possibly supplementary, hypothesis. Specifically, rather than identifying or labeling individual stimuli discretely in order to predict the next item in a sequence, we need only assume that the participant is able to represent the stimuli as evincing particular similarity relations to one another, with sequences represented as trajectories through this similarity space. We present experiments in which this hypothesis makes sharply different predictions from hypotheses based on the assumption that sequences are learned over discrete, labeled stimuli. We also present a series of simulation models that encode stimuli as positions in a continuous two‐dimensional space, and predict the next location from the current location. Although no model captures all of the data presented here, the results of three critical experiments are more consistent with the view that participants represent trajectories through similarity space rather than sequences of discrete labels under particular conditions.     

The psychometric function: I. Fitting, sampling, and goodness of fit

The psychometric function relates an observer’s performance to an independent variable, usually some physical quantity of a stimulus in a psychophysical task. This paper, together with its companion paper (Wichmann & Hill, 2001), describes an integrated approach to (1) fitting psychometric functions, (2) assessing the goodness of fit, and (3) providing confidence intervals for the function’s parameters and other estimates derived from them, for the purposes of hypothesis testing. The present paper deals with the first two topics, describing a constrained maximum-likelihood method of parameter estimation and developing several goodness-of-fit tests. Using Monte Carlo simulations, we deal with two specific difficulties that arise when fitting functions to psychophysical data. First, we note that human observers are prone to stimulus-independent errors (orlapses). We show that failure to account for this can lead to serious biases in estimates of the psychometric function’s parameters and illustrate how the problem may be overcome. Second, we note that psychophysical data sets are usually rather small by the standards required by most of the commonly applied statistical tests. We demonstrate the potential errors of applying traditionalX ² methods to psychophysical data and advocate use of Monte Carlo resampling techniques that do not rely on asymptotic theory. We have made available the software to implement our methods.     

Investigating the Links Between Cultural Values and Belief in Conspiracy Theories: The Key Roles of Collectivism and Masculinity

Research suggests that belief in conspiracy theories (CT) stems from basic psychological mechanisms and is linked to other belief systems (e.g., religious beliefs). While previous research has extensively examined individual and contextual variables associated with CT beliefs, it has not yet investigated the role of culture. In the current research, we tested, based on a situated cultural cognition perspective, the extent to which culture predicts CT beliefs. Using Hofstede's model of cultural values, three nation-level analyses of data from 25, 19, and 18 countries using different measures of CT beliefs (Study 1, N = 5323; Study 2a, N = 12,255; Study 2b, N = 30,994) revealed positive associations between masculinity, collectivism, and CT beliefs. A cross-sectional study among U.S. citizens (Study 3, N = 350), using individual-level measures of Hofstede's values, replicated these findings. A meta-analysis of correlations across studies corroborated the presence of positive links between CT beliefs, collectivism, r = .31, 95% CI = [.15; .47], and masculinity, r = .39, 95% CI = [.18; .59]. Our results suggest that in addition to individual differences and contextual variables, cultural factors also play an important role in shaping CT beliefs.     

Structural analysis of the facets and domains of the Zuckerman-Kuhlman-Aluja Personality Questionnaire (ZKA-PQ) and the NEO PI-R

Aluja, Kuhlman, and Zuckerman (2010) developed an instrument for American and Spanish populations (Zuckerman-Kuhlman-Aluja Personality Questionnaire [ZKA-PQ]) that includes 4 facets for each 5 basic traits of Zuckerman's psychobiological personality model. This new instrument is intended to improve the previous measure based on the same personality model, the Zuckerman-Kuhlman Personality Questionnaire (ZKPQ), by including the narrower traits (facets) defining the factors. This article explores the convergent and discriminant validity of the new instrument relative to the NEO PI-R in a sample from the Spanish general population. A series of exploratory factor analyses comparing both instruments was conducted. Results showed good convergent and discriminant validity between both instruments, although the ZKA-PQ had a slightly better structure than the NEO PI-R. The results support the validity of the ZKA-PQ factor domains and the facets composing them. The new instrument might be useful in both applied and research settings.     

Emotional appraisal is influenced by cardiac afferent information

Influential models highlight the central integration of bodily arousal with emotion. Some emotions, notably disgust, are more closely coupled to visceral state than others. Cardiac baroreceptors, activated at systole within each cardiac cycle, provide short-term visceral feedback. Here we explored how phasic baroreceptor activation may alter the appraisal of brief emotional stimuli and consequent cardiovascular reactions. We used functional MRI (fMRI) to measure brain responses to emotional face stimuli presented before and during cardiac systole. We observed that the processing of emotional stimuli was altered by concurrent natural baroreceptor activation. Specifically, facial expressions of disgust were judged as more intense when presented at systole, and rebound heart rate increases were attenuated after expressions of disgust and happiness. Neural activity within prefrontal cortex correlated with emotionality ratings. Activity within periaqueductal gray matter reflected both emotional ratings and their interaction with cardiac timing. Activity within regions including prefrontal and visual cortices correlated with increases in heart rate evoked by the face stimuli, while orbitofrontal activity reflected both evoked heart rate change and its interaction with cardiac timing. Our findings demonstrate that momentary physiological fluctuations in cardiovascular afferent information (1) influence specific emotional judgments, mediated through regions including the periaqueductal gray matter, and (2) shape evoked autonomic responses through engagement of orbitofrontal cortex. Together these findings highlight the close coupling of visceral and emotional processes and identify neural regions mediating bodily state influences on affective judgment.