Defective number module or impaired access? Numerical magnitude processing in first graders with mathematical difficulties

This study examined numerical magnitude processing in first graders with severe and mild forms of mathematical difficulties, children with mathematics learning disabilities (MLD) and children with low achievement (LA) in mathematics, respectively. In total, 20 children with MLD, 21 children with LA, and 41 regular achievers completed a numerical magnitude comparison task and an approximate addition task, which were presented in a symbolic and a nonsymbolic (dot arrays) format. Children with MLD and LA were impaired on tasks that involved the access of numerical magnitude information from symbolic representations, with the LA children showing a less severe performance pattern than children with MLD. They showed no deficits in accessing magnitude from underlying nonsymbolic magnitude representations. Our findings indicate that this performance pattern occurs in children from first grade onward and generalizes beyond numerical magnitude comparison tasks. These findings shed light on the types of intervention that may help children who struggle with learning mathematics.     

Measuring procedural imitation aptitude in children: further validation of the Preschool Imitation and Praxis Scale (PIPS)

The Preschool Imitation and Praxis Scale (PIPS) was developed to measure bodily and procedural imitation aptitude in young children. However, the investigation of procedural imitation is more complex than that of bodily imitation. The procedural imitation tasks of the PIPS mainly consisted of unusual acts upon objects (for example, switching on a lamp in a toy animal with the forehead). This study assessed the suitability of these tasks by ruling out nonimitative learning in 15 typically developing children between 12 and 55 mo. of age (6 girls, 9 boys). Results indicated that the tasks seem novel and unlikely to be performed spontaneously by the children. In addition, the number of target acts performed by the children in the imitation condition was significantly higher than in the baseline, investigator-manipulation, and imitation-enhancement nonimitative control conditions. Finally, the tasks elicited more frequently imitative behaviour than end-state emulation. Therefore, the tasks appear appropriate to measure procedural imitation, and the findings support the theoretical validity of the PIPS.     

On the Relation Between the Linear Factor Model and the Latent Profile Model

The relationship between linear factor models and latent profile models is addressed within the context of maximum likelihood estimation based on the joint distribution of the manifest variables. Although the two models are well known to imply equivalent covariance decompositions, in general they do not yield equivalent estimates of the unconditional covariances. In particular, a 2-class latent profile model with Gaussian components underestimates the observed covariances but not the variances, when the data are consistent with a unidimensional Gaussian factor model. In explanation of this phenomenon we provide some results relating the unconditional covariances to the goodness of fit of the latent profile model, and to its excess multivariate kurtosis. The analysis also leads to some useful parameter restrictions related to symmetry.     

Comparing learned predictiveness effects within and across compound discriminations

In four human learning experiments, we examined the extent to which learned predictiveness depends upon direct comparison between relatively good and poor predictors. Participants initially solved (a) linear compound discriminations in which one or both of the stimuli in each compound were predictive of the correct outcome, (b) biconditional discriminations where only the configurations of the stimuli were predictive of the correct outcome, or (c) pseudodiscriminations in which no stimulus features were predictive. In each experiment, subsequent learning and test stages were used to assay changes in the associability of each stimulus brought about by its role in the initial discriminations. Although learned predictiveness effects were observed in all experiments (i.e., previously predictive cues were more readily associated with a new outcome than previously nonpredictive cues), the same changes in associability were observed regardless of whether the stimulus was initially learned about in the presence of an equally predictive, more predictive, or less predictive stimulus. The results suggest that learned associability is not controlled by competitive allocation of attention, but rather by the absolute predictiveness of each individual cue.     

Personality correlates of party preference: The Big Five in five big European countries

The Big Five Model was used to assess the role of personality traits in orienting voting choice across five European countries (n = 1288). Findings from Italy, Spain, Germany, Greece, and Poland showed that the Big Five were linked to party preference in theoretically consistent ways. Traits had substantial effects on voting, whereas the socio-demographic characteristics of gender, age, income, and educational level had weaker influences. In each country, voters’ traits are seemingly congruent with the policies of their preferred party. The Openness trait has been shown to be the most generalizable predictor of party preference across the examined cultures. Conscientiousness was also a valid predictor, although its effect was less robust and replicable. Similarities and differences across countries were discussed and linked to the nature of the respective political discourses.     

Productivity of doctoral programs in Psychology with Quality Mention in journal articles included in Journal Citation Reports

The main objective of the present study was to classify doctoral programs with Quality Mention in Psychology based on their scientific productivity. For this purpose, articles in the Web of Science published by professors teaching in these doctoral programs were analyzed. In addition, we analyzed scientific journals in which these professors tend to publish more papers and the evolution in the number of papers published until 2009. Results showed that the most productive doctoral program was the Neurosciences program at the University of Oviedo. This program showed a ratio of 40 articles--published in journals included in Journal Citation Reports--by each professor. In contrast, other programs did not reach a ratio of 10 articles per professor. Regarding journals, results showed that 9 out of the 20 most popular journals are Hispanic and a gradual increase in the number of published papers was also observed. Lastly, results and implications for quality assessment are discussed.     

Attention for emotional facial expressions in dysphoria: an eye-movement registration study

Former research demonstrated that depression is associated with dysfunctional attentional processing of emotional information. Most studies examined this bias by registration of response latencies. The present study employed an ecologically valid measurement of attentive processing, using eye-movement registration. Dysphoric and non-dysphoric participants viewed slides presenting sad, angry, happy and neutral facial expressions. For each type of expression, three components of visual attention were analysed: the relative fixation frequency, fixation time and glance duration. Attentional biases were also investigated for inverted facial expressions to ensure that they were not related to eye-catching facial features. Results indicated that non-dysphoric individuals were characterised by longer fixating and dwelling on happy faces. Dysphoric individuals demonstrated a longer dwelling on sad and neutral faces. These results were not found for inverted facial expressions. The present findings are in line with the assumption that depression is associated with a prolonged attentional elaboration on negative information.     

Emotion recognition in music changes across the adult life span

In comparison with other modalities, the recognition of emotion in music has received little attention. An unexplored question is whether and how emotion recognition in music changes as a function of ageing. In the present study, healthy adults aged between 17 and 84 years (N=114) judged the magnitude to which a set of musical excerpts (Vieillard et al., 2008) expressed happiness, peacefulness, sadness and fear/threat. The results revealed emotion-specific age-related changes: advancing age was associated with a gradual decrease in responsiveness to sad and scary music from middle age onwards, whereas the recognition of happiness and peacefulness, both positive emotional qualities, remained stable from young adulthood to older age. Additionally, the number of years of music training was associated with more accurate categorisation of the musical emotions examined here. We argue that these findings are consistent with two accounts on how ageing might influence the recognition of emotions: motivational changes towards positivity and, to a lesser extent, selective neuropsychological decline.     

Psychometric examination of the School Social Climate Questionnaire in Chileans students

The School Social Climate Questionnaire (CECSCE) was adapted and applied. Subsequently, its psychometric proprieties were analyzed. The 1075 Chilean students who participated were assessed with the CECSCE and the School Violence Scale. The results showed that the CECSCE has a bifactorial structure, although there was also the possibility of a unifactorial structure. The CECSCE achieved satisfactory reliability and homogeneity indexes. The CECSCES scores were inversely related to the school violence rate. Lastly, differences by gender and educational level were analyzed. Given that there are differences in school climate perceptions in favor of girls, Chilean standards are presented in percentiles by gender. It can therefore be concluded that the CECSCE is sufficiently valid and reliable to be applied in Chile.     

Cerebellar-induced apraxic agraphia: a review and three new cases

Apraxic agraphia is a writing disorder due to a loss or lack of access to motor engrams that program the movements necessary to produce letters. Clinical and functional neuroimaging studies have demonstrated that the neural network responsible for writing includes the superior parietal region and the dorsolateral and medial premotor cortex. Recent studies of two cases with atypical lesion localisations in the left thalamus and the right cerebellum support the hypothesis that the written language network is larger than previously assumed. The aim of this study is twofold: (1) to provide a survey of cases of apraxic agraphia published between 1973 and June 2010, and (2) to provide further evidence for a role of the cerebellum in writing via three additional cases who presented with apraxic agraphia after ischemic damage in the cerebellum. Functional neuroimaging studies by means of brain perfusion SPECT showed perfusional deficits in the anatomoclinically suspected supratentorial areas, subserving language dynamics, syntax, naming, writing and executive functioning.