Salience modulation in serial preexposure: implications for perceptual learning

In three experiments rats were given serial preexposure to two flavor stimuli. In Experiment 1, some animals were given exposure to AX followed by the presentation of BX, a forward schedule; the others were given backward preexposure (BX→AX). Conditioning and test trials with the A element showed that salience or effectiveness of A was better protected in the forward than in the backward condition. Experiments 2 and 3 assessed the relevance of this salience modulation mechanism for perceptual learning. In these experiments, generalization of a conditioned aversion from AX to BX was reduced in the forward (but not in the backward) condition only after prolonged exposure, indicating that the establishment of an inhibitory link from B to A is required for successful discrimination. However, generalization to a novel compound stimulus, NX, was reduced in the forward group both after short and long preexposure, suggesting the existence of salience modulation processes that work in parallel with associative inhibition. These results seem to support the existence of a salience modulation mechanism that seems to be beyond the scope of current theories of perceptual learning.     

Eye gaze versus arrows as spatial cues: two qualitatively different modes of attentional selection

This study aimed to evaluate the type of attentional selection (location- and/or object-based) triggered by two different types of central noninformative cues: eye gaze and arrows. Two rectangular objects were presented in the visual field, and subjects' attention was directed to the end of a rectangle via the observation of noninformative directional arrows or eye gaze. Similar experiments with peripheral cues have shown an object-based effect: faster target identification when the target is presented on the cued object as compared to the uncued object, even when the distance between target and cue was the same. The three reported experiments aimed to compare the location- and object-based attentional orienting observed with arrows and eye gaze, in order to dissociate the orienting mechanisms underlying the two types of orienting cues. Results showed similar cueing effects on the cued versus oppositely cued locations for the two cue types, replicating several studies with nonpredictive gaze and arrow cues. However, a pure object-based effect occurred only when an arrow cue was presented, whereas a pure location-based effect was only found for eye-gaze cues. It is suggested that attention is nonspecifically directed to nearby objects when a noninformative arrow is used as cue, whereas it is selectively directed to a specific cued location when noninformative eye gaze is used. This may be mediated by theory of mind mechanisms.     

The impact of the HEXACO personality model in predicting socio-political attitudes: The moderating role of interest in politics

In this paper, the relationships between the HEXACO personality model and socio-political attitudes were investigated. It was hypothesized that the relationship between Honesty-Humility and Social Dominance Orientation (SDO) and that between Openness and Right Wing Authoritarianism (RWA) were moderated by interest in politics. Three hundred and forty-four individuals participated in the study. Results showed that Honesty-Humility affected SDO and Openness affected RWA more strongly among individuals with a higher level of interest in politics. Facet-level analyses revealed that Humility and Experiential Openness were uniquely connected to ideology. These effects were also moderated by interest in politics.     

Factor analysis of ipsative data: a simulation study

This paper introduces a summary on how to proceed to conduct a factor analysis when the input data are ipsative. The classical factor analysis procedures cannot be used because the covariance matrix is singular. Additionally, previous research on the optimal conditions to conduct factor analysis for ipsatized data is reviewed, and the results of a simulation study are presented. The study includes conditions of sample size, model complexity, and model specification (correct vs. incorrect). The results suggest that researchers should be careful when factor analyzing ipsatized data, particularly if they suspect that the model is incorrectly specified and includes a smaller number of factors.     

Effects of category label activation about the elderly

The present research focuses on the study of behavioral effects of non-conscious activation of categories among outgroup (young people) and ingroup members (elderly people). Specifically, non-conscious activation of labels that designate the same group, but with different valence (old vs. elderly), showed an effect on a behavior not directly related to interaction with elderly. The first study with young individuals (N= 62) shows that, after non-conscious activation of a negative label (old), participants displayed longer RTs in the first phase of the task than in the case of positive label (elderly) priming. The second study (N= 40), performed with elderly people, shows a similar result, after non-conscious activation of a negative label (old), elderly people showed longer RTs in the first phase of the task, compared with the group in the non-conscious positive label activation condition. Results concerning the theoretical and practical implications are discussed.     

Sociodemographic, clinical and outcome differences among anxiety disorders

The aims of this paper are to analyze differences in sociodemographic and clinical characteristics among the various anxiety disorders treated in a Psychology Clinic, and the results of treatment in each anxiety disorder. Data from 282 patients of University Psychology Clinic at the Complutense University of Madrid, who had at least one diagnosis of anxiety according to DMS-IV-TR criteria, were analyzed. The most frequent anxiety disorders were nonspecific anxiety disorder (19.1%) and social phobia (18.8%). Significant differences were observed according to sex (in all disorders, the percentage of women was significantly higher than that of men, except for obsessive-compulsive disorder). Unspecific anxiety disorder required a smaller number of assessment and treatment sessions, whereas obsessive-compulsive disorder required a greater number of sessions. There were no significant differences between the percentage of patients who completed treatment and dropout rates in specific phobia, general anxiety disorder and obsessive-compulsive disorder. Differences between epidemiological and clinical data are discussed.     

Incorporation and adaptation of the postmodern belief system

Every society develops a particular system of beliefs that summarizes its vision of socio-political organization, culture and interpersonal relationships. Each of these three basic dimensions has different forms, depending on the spatial and temporal context of societies. The belief system of the service societies is characterized by a democratic vision of social and political organization, rejection of radical social changes and high levels of interpersonal trust. This paper empirically examines the incorporation and adaptation of the postmodern belief system in a sample of university students. The participants belong to a country that is slowly integrating into the service societies. We used a scale of postmodernity to analyze the incorporation of the postmodern belief system. The results indicate that there is a peculiar combination of the three basic dimensions of the postmodern belief system, where the postmodern conceptions of culture and social relationships have lower acceptance.     

Reliability and validity evidence of the Out-group Threat Perception Scale (OTPS)

This study aimed to analyze the psychometric properties of a new scale: the Out-group Threat Perception Scale (OTPS). The OTPS was designed to measure the perception of out-group threat, an important psychosocial variable that is closely related to negative attitudes towards out-groups. Three hundred and two Spanish participants responded to the OTPS in reference to the following out-groups: Moroccans (N= 102), Romanians (N= 101) and Ecuadorian immigrants (N= 99). The reliability and item analyses showed that the scale had good internal consistency. Factor analyses yielded two independent dimensions: Realistic Threat and Symbolic Threat. Correlational analyses showed that the OTPS correlated significantly with several psychosocial variables. The present findings suggest that the OTPS is a reliable and valid measure, and it can be a useful instrument to study intergroup relationships in our country.     

Factor models of the Beck Depression Inventory-II. Validation with coronary patients and a critique of Ward's model

The objective of this study was to validate in a sample of 205 coronary patients a factor model for the BDI-II, especially a model that would allow for modeling of depressive symptoms after explicitly removing bias related to somatic symptoms of depression that would overlap those of heart disease. Exploratory and confirmatory factor analyses for ordinal data were conducted. A one-factor model, six correlated two-factor models and, derivatives thereof, seven models with a single General Depression factor and two uncorrelated factors, were analyzed. Exploratory analysis extracted two factors, Somatic-affective and Cognitive. Confirmatory factor analyses showed the worst fit for the one-factor model. Two-factor models were surpassed in goodness of fit by the models of general-factor and group factors. Among these, the General, Somatic-affective and Cognitive (G-Sa-C) model of Beck with students is noteworthy. The reduced General, Somatic and Cognitive (G-S-C) model of Ward showed the worst goodness of fit. Our model surpasses the cutoff criteria of all fit indexes. We conclude that the inclusion of a general-factor and group factors in all the models surpasses the results of G-S-C model and, therefore, questions it. The G-Sa-C model is strengthened.     

Methods for averaging alpha coefficients in reliability generalization studies

The reliability generalization (RG) approach is a kind of meta-analysis that aims to statistically integrate a set of independent reliability coefficients obtained in several applications of a test, with the purpose of characterizing the measurement error and determining which factors related to the studies and samples can explain its variability. Diverse procedures have been proposed in the literature for averaging a set of independent alpha coefficients, and there is no consensus about which methods are best. Here, we present the results of a Monte Carlo simulation study, comparing the performance of twelve procedures proposed in Feldt and Charter, in terms of bias and mean square error. These procedures differ from each other in the transformation (or not) of the coefficients, and in the application or not of a weighting scheme based on sample size. Our results recommend using weighted methods in contrast to unweighted ones, and transforming the coefficients by the Hakstian and Whalen's proposal or by the proposal based on the square root of the inverse alpha coefficient. Lastly, we discuss the relations between the diverse procedures for averaging alpha coefficients with fixed-effects, random-effects, and varying coefficients models.