Divergences among three higher-order self-report psychopathology factors in normal-range personality and emotional late positive potential reactivity

Personality is related to psychopathology and its higher-order structures, but there is little research regarding neurobiological associations of higher-order psychopathology factors. This study examined the factor structure of a wide range of psychopathology and its associations with both personality and emotional reactivity revealed through the late positive potential (LPP) in a sample of 275 undergraduates. A three-factor structure of psychopathology emerged comprising Internalizing (INT), Externalizing (EXT), and Aberrant Experiences (ABX). EXT predicted aggressive disconstraint, whereas both INT and ABX predicted Alienation and Stress Reaction. INT uniquely predicted low Well-Being, and ABX predicted a rigid absorption combined with interpersonal detachment. ABX correlated with reduced parietal emotional LPP reactivity, whereas INT correlated with stronger frontal LPP reactivity to emotional versus neutral pictures.     

Using physiological and behavioral measurements in a picture-based road hazard perception experiment to classify risky and safe drivers

Every year, a considerable number of people got injured or even lost their lives in road traffic accidents. To decrease the number of fatalities and injuries, researchers are seeking methods to identify and restrain drivers before the happening of actual traffic accidents, who possess dangerous driving behaviors and may cause road traffic accidents. Such methods are usually exploited to decide drivers’ fitness to drive—an indicator to describe whether they are fit for driving. The aim of this study is to measure drivers’ physiological and behavioral responses to road hazards and to extract features from measurements for further classification of risky and safe drivers. 42 drivers participated in a picture-based road hazard perception experiment, where electroencephalography (EEG), electrodermal activity (EDA), behavioral responses to road hazards, multidimensional driving style inventory (MDSI) questionnaire, and demographic information were recorded. Results indicated that 5 specific physiological features regarding to road hazard perception showed significant differences between risky and safe drivers. Subsequently, participants were classified into risky or safe drivers group by applying only the 5 features. 81.82% and 77.78% accuracy of classification were attained for risky and safe drivers, respectively. It was evidenced that using physiological and behavioral responses to evaluate drivers’ road hazard perception might be utilized as a tool to measure drivers’ fitness to drive. For further studies, improvements to future experiment design were discussed.     

Language encodes geographical information

Population counts and longitude and latitude coordinates were estimated for the 50 largest cities in the United States by computational linguistic techniques and by human participants. The mathematical technique Latent Semantic Analysis applied to newspaper texts produced similarity ratings between the 50 cities that allowed for a multidimensional scaling (MDS) of these cities. MDS coordinates correlated with the actual longitude and latitude of these cities, showing that cities that are located together share similar semantic contexts. This finding was replicated using a first-order co-occurrence algorithm. The computational estimates of geographical location as well as population were akin to human estimates. These findings show that language encodes geographical information that language users in turn may use in their understanding of language and the world.     

Further Evidence of the Reliability and Validity of the Multidimensional Anxiety

The psychometric properties of the Multidimensional Anxiety Scale for Children (MASC) were examined in adolescent psychiatric inpatient samples. In Study 1 (n = 287), confirmatory factor analyses provided satisfactory fit for the four-factor (comparative fit index; CFI = 0.856) and higher-order (CFI = 0.854) solutions. Using parcels as items, the fit of the four-factor model was improved substantially (CFI = 0.935). Next, in the bifactor analyses, support was attained for a model that included a general factor and four domain specific subfactors. In Study 2 (n = 195 inpatient youths), the MASC showed good scale reliability and concurrent validity. Results of the receiver operating characteristic curve and binary logistic regression analyses provided adequate evidence for discriminative validity. In Study 3 (n = 40), test–retest reliability of scores on the MASC-10 scale over a 3-week period was adequate (r _tt = 0.83, p < 0.001) for children ages 8 to 11 years.     

Exploring children’s face-space: A multidimensional scaling analysis of the mental representation of facial identity

We explored differences in the mental representation of facial identity between 8-year-olds and adults. The 8-year-olds and adults made similarity judgments of a homogeneous set of faces (individual hair cues removed) using an “odd-man-out” paradigm. Multidimensional scaling (MDS) analyses were performed to represent perceived similarity of faces in a multidimensional space. Five dimensions accounted optimally for the judgments of both children and adults, with similar local clustering of faces. However, the fit of the MDS solutions was better for adults, in part because children’s responses were more variable. More children relied predominantly on a single dimension, namely eye color, whereas adults appeared to use multiple dimensions for each judgment. The pattern of findings suggests that children’s mental representation of faces has a structure similar to that of adults but that children’s judgments are influenced less consistently by that overall structure.     

Uncovering Multidimensional Poverty Experiences in Shaping Children’s Socioemotional Trajectories during the First 6 Years of Schooling

The extant literature has attested to the importance of poverty on child well-being generally using a unidimensional approach. Researchers have yet to establish solid evidence on how multiple dimensions of poverty (e.g., depth, volatility, and spells of exposure) might be associated with children’s socioemotional well-being during their early school years. Building upon Bronfenbrenner’s bioecological systems theory, this study used latent class analysis to identify poverty patterns by incorporating multiple dimensions of poverty and investigated the relationship between multidimensional poverty patterns and children’s socioemotional trajectories from kindergarten through fifth grade. Using the Early Childhood Longitudinal Study, Kindergarten Class of 1998–1999 (ECLS-K), a longitudinal dataset featuring a nationally representative cohort of children in the United States (N ≈ 20,090), the analysis identified seven poverty groups. Each group exhibited a unique poverty or economic pattern that incorporates the three poverty dimensions. Growth-curve results indicate that multidimensional poverty patterns were significantly associated with externalizing and internalizing behaviors both at kindergarten and over time by fifth grade. Children with the acutest form of economic deprivation—extreme poverty, volatile income, and multiple spells of poverty exposure—were reported to have the worst outcomes. The significant variations in children’s socioemotional trajectories due to different poverty patterns highlight the importance of poverty reduction and prevention strategies corresponding to those patterns for optimal effect. This study suggests a focus not just on helping families exit poverty temporarily, but on improving their economic security as a way to nurture children’s socioemotional well-being.     

Cross-cultural perspective of driving style in young adults: Psychometric evaluation through the analysis of the Multidimensional Driving Style Inventory

Self-evaluating methods are frequently used to identify driving styles. Among others, one of the most commonly used questionnaires is the Multidimensional Driving Style Inventory (MDSI), developed for the Israeli population. Because of the extensive use of the questionnaire, the present paper aims to validate an Italian version and to confirm the 8-factor structure of the original one, i.e, dissociative, anxious, risky, angry, high-velocity, distress-reduction, patient, and careful driving style. The Italian version of the MDSI was filled out by 561 Italian drivers, who had a driving license for at least 1 year. A confirmatory factorial analysis (CFA) was conducted on the 44-item of the translated questionnaire showing not so good values of the goodness of fit tests (SRMR = 0.085; RMSEA = 0.063). The total-item correlation of each scale indicated that 4 items had a low index of total-item correlation. A second CFA was conducted on the remaining 40 items: goodness fit parameters improved (SRMR = 0.0685, RMSEA = 0.0584). Previous validations of the original version of MDSI for different populations (Argentine, Romanian, Chinese, Malaysian, Butch and Belgian) showed several critical issues in confirming the original structure. In the Italian version of MDSI validated in the present paper, the original 8-factor structure was confirmed by removing the 4 items which did not properly contribute to the factors. The results not only confirmed the usefulness of the MDSI in assessing driving style but they also indicated that the concept of driving style is considered in the same way in Italy and Israel, even though traffic rules are different. The latter consideration raises interesting questions for future research concerning cross-cultural comparisons of driving behavior in different countries.     

Perhaps Unidimensional Is Not Unidimensional

Miller (1956) identified his famous limit of 7 ± 2 items based in part on absolute identification—the ability to identify stimuli that differ on a single physical dimension, such as lines of different length. An important aspect of this limit is its independence from perceptual effects and its application across all stimulus types. Recent research, however, has identified several exceptions. We investigate an explanation for these results that reconciles them with Miller’s work. We find support for the hypothesis that the exceptional stimulus types have more complex psychological representations, which can therefore support better identification. Our investigation uses data sets with thousands of observations for each participant, which allows the application of a new technique for identifying psychological representations: the structural forms algorithm of Kemp and Tenenbaum (2008) . This algorithm supports inferences not possible with previous techniques, such as multidimensional scaling.     

Influence of Cognitive Factors on Sexual Assault Recovery: Descriptive Review and Methodological Concerns

This article aims to verify whether the empirical data presented in the literature on sexually assaulted victims support the hypothesis advanced by various aetiological models, which is that cognitions play an important role in the development and maintenance of Post-Traumatic Stress Disorder. The first objective is to present state-of-the-art results on sexually assaulted victims' post-traumatic cognitions and their link to post-assault symptomatology. The second objective is to analyse the various methodological facets of those studies. Finally, paths for future studies are traced and recommendations are made.     

How Much Older Do You Get When a Wrinkle Appears on Your Face? Modifying Age Estimates by Number of Wrinkles

ABSTRACT

The present study investigated the influence of wrinkles on facial age judgments. In Experiment 1, preadolescents, young adults, and middle-aged adults made categorical age judgments for male and female faces. The qualitative (type of wrinkle) and quantitative (density of wrinkles and depth of furrows) contributions of wrinkles were analyzed. Results indicated that the greater the number of wrinkles and the depth of furrows, the older a face was rated. The roles of the gender of the face and the age of the participants were discussed. In Experiment 2, participants performed relative age judgments by comparing pairs of faces. Results revealed that the number of wrinkles had more influence on the perceived facial age than the type of wrinkle. A MDS analysis showed the main dimensions on which participants based their judgments, namely, the number of wrinkles and the depth of furrows. We conclude that the quantitative component is more likely to increase perceived facial age. Nevertheless, other variables, such as the gender of the face and the age of the participants, also seem to be involved in the age estimation process.