Three-Mode Component Analysis with Crisp or Fuzzy Partition of Units

A new methodology is proposed for the simultaneous reduction of units, variables, and occasions of a three-mode data set. Units are partitioned into a reduced number of classes, while, simultaneously, components for variables and occasions accounting for the largest common information for the classification are identified. The model is a constrained three-mode factor analysis and it can be seen as a generalization of the REDKM model proposed by De Soete and Carroll for two-mode data. The least squares fitting problem is mathematically formalized as a constrained problem in continuous and discrete variables. An iterative alternating least squares algorithm is proposed to give an efficient solution to this minimization problem in the crisp and fuzzy classification context. The performances of the proposed methodology are investigated by a simulation study comparing our model with other competing methodologies. Different procedures for starting the proposed algorithm have also been tested. A discussion of some interesting differences in the results follows. Finally, an application to real data illustrates the ability of the proposed model to provide substantive insights into the data complexities.     

Attentional blink differences between adolescent dyslexic and normal readers

The goal of this study was to evaluate the possibility that dyslexic individuals require more working memory resources than normal readers to shift attention from stimulus to stimulus. To test this hypothesis, normal and dyslexic adolescents participated in a Rapid Serial Visual Presentation experiment (Raymond, Shapiro, & Arnell, 1992). Surprisingly, the result showed that the participants with dyslexia produced a shallower attentional blink than normal controls. This result may be interpreted as showing differences in the way the two groups encode information in episodic memory. They also fit in a cascade-effect perspective of developmental dyslexia.     

Mass suicide: historical and psychodynamic considerations

Mass suicide can be defined as the simultaneous suicide of all the members of a social group and is closely linked to the human dimension of existence, although the social and cultural context may vary. In fact, the term mass suicide can also be used to describe situations in which a particular population has reacted to oppression by denying all normal activities of sustenance, with the intention of bringing about a traumatic metamorphosis in a cultural context (colonization, exploitation by other populations), thus transforming a catastrophe in which a passive role is played into one constructed actively. Therefore, mass suicides can be subdivided into two categories: (a) hetero-induced, typical of defeated and colonized populations forced to escape from a reality that does not acknowledge their human dignity and (b) self-induced, in which the motivation is related to a distorted evaluation of reality, without there being either an intolerable situation or a real risk of death. The mass suicides that have taken place in the last 20 years are all related to the establishment of religious sects; the mystic delirium created within the sect leads to the self-destruction of the group as being interpreted as an act of self-assertiveness.     

Effects of pretraining intrastriatal administration of p-chloroamphetamine on inhibitory avoidance

Pretraining systemic administration of p-chloroamphetamine (PCA) consistently produces retention deficits of inhibitory avoidance. This drug causes a widespread acute release of serotonin from cerebral neuronal terminals, but it is not known where in the brain PCA exerts its disruptive cognitive effects. The present experiment was aimed at determining whether the striatum is a site of action of this drug. PCA (5 microg) was infused, bilaterally, into the striatum of rats at 30, 15, or 5 min before training of inhibitory avoidance, and retention of the task was measured 24 h later. An inversely related time-dependent deficit was found. Together with the results from appropriate control groups, this result strongly suggest that systemic PCA produces its reported cognitive effects, at least in part, through its pharmacological action within the striatum.     

Visual encoding of patterns is subject to dual-task interference

Two stimuli were presented at varying stimulus onset asynchronies (SOAs), with each stimulus associated with a distinct task. The first stimulus was a tone at one of either two or three frequencies. In two conditions, the task associated with a tone was either a speeded two-alternative discrimination (2AD), or a speeded three-alternative discrimination (3AD) based on the pitch of the tone. In a third condition, subjects were told to ignore the tone. The second stimulus was a briefly exposed study matrix of red and black squares followed by a mask. After a fixed delay, the mask was replaced by a test matrix that was either the same or different from the study matrix. The task associated with the matrices was to indicate, with no speed pressure, whether the study matrix and the test matrix were the same or different. Results from each speeded AD condition showed that subject's accuracy in the matrix task decreased as the SOA between the tone and the study matrix decreased. This effect was larger for the 3AD tone task than with a 2AD tone task. In addition, within each speeded AD condition, longer RTs in the tone task were associated with lower accuracy in the matrix task. None of these effects was evident when the subjects were told to ignore the tone. These results suggest that encoding visual information can be subject to significant capacity limitations imposed by cross-modal multitasking.     

A 32-society investigation of the influence of perceived economic inequality on social class stereotyping

There is a growing body of work suggesting that social class stereotypes are amplified when people perceive higher levels of economic inequality—that is, the wealthy are perceived as more competent and assertive and the poor as more incompetent and unassertive. The present study tested this prediction in 32 societies and also examines the role of wealth-based categorization in explaining this relationship. We found that people who perceived higher economic inequality were indeed more likely to consider wealth as a meaningful basis for categorization. Unexpectedly, however, higher levels of perceived inequality were associated with perceiving the wealthy as less competent and assertive and the poor as more competent and assertive. Unpacking this further, exploratory analyses showed that the observed tendency to stereotype the wealthy negatively only emerged in societies with lower social mobility and democracy and higher corruption. This points to the importance of understanding how socio-structural features that co-occur with economic inequality may shape perceptions of the wealthy and the poor.     

Error monitoring is related to processing internal affective states

Detecting behavioral errors is critical for optimizing performance. Here, we tested whether error monitoring is enhanced in emotional task contexts, and whether this enhancement depends on processing internal affective states. Event-related potentials were recorded in individuals with low and high levels of alexithymia—that is, individuals with difficulties identifying and describing their feelings. We administered a face word Stroop paradigm (Egner, Etkin, Gale, & Hirsch, 2008) in which the task was to classify emotional faces either with respect to their expression (happy or fearful; emotional task set) or with respect to their gender (female or male; neutral task set). The error-related negativity, a marker of rapid error monitoring, was enhanced in individuals with low alexithymia when they adopted the emotional task set. By contrast, individuals with high alexithymia did not show such an enhancement. Moreover, in the high-alexithymia group, the difference in the error-related negativities between the emotional and neutral task sets correlated negatively with difficulties identifying their own feelings, as measured by the Toronto Alexithymia Scale. These results show that error-monitoring activity is stronger in emotional task contexts and that this enhancement depends on processing internal affective states.     

Superstitious behavior in sport: A literature review

The objective of this first literature review, in this area, is to unveil the current status of knowledge on superstition in sport. Its outcome reveals that superstitious behaviors vary with the type of sport, athletic level, as well as athletic role. In agreement with past theories, they increase with the level of challenge, as reflected by the importance of the competition, as well as with the level of uncertainty. Cultural factors, in conjunction with the education level, as well as gender, have a strong influence on superstitious behaviors in sports. Based on current thoughts, religiosity and superstition are different psychological constructs used as psychological aids by several athletes. Personality factors appear to mediate the manifestation of the behavior. Elite athletes are clearly more superstitious than non‐elite athletes, An interaction between athletic skill and task‐difficulty emerges to be another strong predictor of superstition in sport. It is evident that a set of complex personal and situational factors interact in the manifestation of superstitious behavior in sport that is used for the regulation of emotions in a quest for optimal performance. It is concluded that the objective benefits (i.e., success) of superstition in sport may be ascribed to the placebo effect that yields an increased sense of control and mental reassurance in unpredictable contest situations.     

Exploring the Structure of Adolescent Problem Behaviors and the Associated Adult Outcomes

This study expands on previous research on adolescent problem behaviors by examining whether different constellations of problem behavior in adolescence differentially impact outcomes during emerging adulthood. Data from the in-home interviews of waves 2 and 3 of the National Longitudinal Study of Adolescent Health (Add Health) were used to examine these relationships. Latent class analysis, using nineteen problem behaviors measured at wave 2, identified three classes of adolescents representing “low risk, abstainers,” “sexually-active, experimenters,” and a “high risk, diverse behavior” group. Multivariate logistic regression analyses were then used to identify class differences (measured at wave 3) in social stability, general health and service utilization, and criminal justice system involvement during emerging adulthood. Important class differences in the likelihood of negative outcomes during early adulthood were identified. The implications of these findings and suggestions for future research are discussed.