Exploring the relationships between trait emotional intelligence and objective socio‐emotional outcomes in childhood

Background Trait emotional intelligence (trait EI or trait emotional self‐efficacy) is a constellation of emotion‐related self‐perceptions and dispositions located at the lower levels of personality hierarchies. This paper examines the validity of this construct, as operationalized by the Trait Emotional Intelligence Questionnaire‐Child Form (TEIQue‐CF), in primary schoolchildren. Aims The main aim was to examine the construct validity of trait EI in middle and late childhood by exploring its relationships with cognitive ability, emotion perception, and social behaviour. Sample The sample comprised 140 children aged between 8 and 12 years (M = 9.26 years, SD = 1.00 year; 63 girls) from two English state primary schools. Method Pupils completed the TEIQue‐CF, the standard progressive matrices (SPM), the guess who peer assessment, the social skills training (SST) test, and the assessment of children's emotion skills (ACES) during formal class periods. The procedure took approximately two hours with a short break between assessments. Results Trait EI scores were positively related both to peer‐rated prosocial behaviour and to overall peer competence. They also predicted emotion perception accuracy beyond overall peer competence. As hypothesized in trait EI theory, the construct was unrelated to IQ (Raven's matrices) and academic performance. Conclusions Trait EI is successfully operationalized through the TEIQue‐CF and has important and multifaceted implications for the socialization of primary schoolchildren.     

Top-down influences on attentional capture by color changes

Previous studies have shown that a change in an existing object is not as effective in capturing attention as the appearance of a new object. This view was recently challenged by Lu and Zhou (Psychonomic Bulletin and Review 12:567–572, 2005), who found strong capture effects for an object changing its color. We suspected that this finding critically depends on a procedural particularity in Lu and Zhou’s study, namely that the color of the unique item and the color of the no-unique items randomly switched between trials. In the current study we replicate Lu and Zhou’s capture effect (Experiment 1) and show that no capture occurs when the color-to-stimuli assignment is fixed (Experiment 2). Two further experiments suggest that the capture effect in Experiment 1 is not because the unique item switched color (Experiment 3), but because all the no-unique items switched color (Experiment 4). The results are discussed considering top-down modulation and inter-trial priming effects.

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The time course of processing external and internal features of unfamiliar faces

The time course of processing internal and external facial features was studied in a sequential face matching task, where first a target face was presented, followed by a test face. The exposure duration of the test face was varied systematically (90, 120, 150 ms, and self-paced). In three tasks, participants were instructed to match either the whole face, only external features, or only internal features of the target and test face. Taken together, the results in all the three tasks provide evidence for very fast matching processes. For upright faces, maximal performance was achieved at 90 ms exposure duration and longer exposure durations (120, 150 ms, self-paced) did not improve accuracy. For inverted whole faces, reduced exposure duration resulted in an increase of matching errors, suggesting that below 150 ms of exposure duration, inverted faces cannot be matched reliably. When matching selected facial features only, no such inversion effect was found. Our data challenges previous claims that external features are matched faster than internal: no difference of time course was found between external and internal features. However, external features were matched more accurately.     

Two routes to face perception: evidence from psychophysics and computational modeling

The aim of this study was to separately analyze the role of featural and configural face representations. Stimuli containing only featural information were created by cutting the faces into their parts and scrambling them. Stimuli only containing configural information were created by blurring the faces. Employing an old-new recognition task, the aim of Experiments 1 and 2 was to investigate whether unfamiliar faces (Exp. 1) or familiar faces (Exp. 2) can be recognized if only featural or configural information is provided. Both scrambled and blurred faces could be recognized above chance level. A further aim of Experiments 1 and 2 was to investigate whether our method of creating configural and featural stimuli is valid. Pre-activation of one form of representation did not facilitate recognition of the other, neither for unfamiliar faces (Exp. 1) nor for familiar faces (Exp. 2). This indicates a high internal validity of our method for creating configural and featural face stimuli. Experiment 3 examined whether features placed in their correct categorical relational position but with distorted metrical distances facilitated recognition of unfamiliar faces. These faces were recognized no better than the scrambled faces in Experiment 1, providing further evidence that facial features are stored independently of configural information. From these results we conclude that both featural and configural information are important to recognize a face and argue for a dual-mode hypothesis of face processing. Using the psychophysical results as motivation, we propose a computational framework that implements featural and configural processing routes using an appearance-based representation based on local features and their spatial relations. In three computational experiments (Experiments 4–6) using the same sets of stimuli, we show how this framework is able to model the psychophysical data.     

The Validity of a New,Self-report Measure of Multiple Intelligence

In all, 187 participants completed a new, self-report measure of eight multiple intelligences (Haselbauer 2005), a General Knowledge test (Irwing et al. Personality and Individual Differences 30:857–871, 2001), a measure of Approaches to Learning Styles (Biggs 1987), a measure of the Big Five personality traits (Costa and McCrae 1992), as well as gave their own estimated scores on the Gardner (1999) multiple intelligences. Alpha co-efficients were modest with only three of the eight test-derived, multiple intelligence scores being over .70. ‘Linguistic’ and Mathematical intelligence alone were correlated with General Knowledge. Five of the eight ‘intelligences’ were correlated both with Extraversion and Openness. Regressions indicated that ‘Intrapersonal intelligence’ was closely linked with Stability and Conscientiousness; ‘Interpersonal intelligence’ with Extraversion; ‘Linguistic intelligence’ with Openness; ‘Mathematical intelligence’ with Agreeableness and Conscientiousness. Correlations between self-estimated and test-derived emotional intelligence showed correlations ranging from r = .18 to r = .56 for similar type ‘intelligences’. This study provides modest evidence for the concurrent and construct validity of this measure. It requires more psychometric evidence of validity before it is used.     

Evaluating the two-component inspection model in a simplified luggage search task

Visual inspection of X-ray images of luggage is a time-pressured task that typically shows large initial training effects, but there exists a paucity of models capable of evaluating performance and speed concurrently. In the present study, visual inspection ability during learning was modeled using Drury’s two-component inspection model (TCM; Drury, 1975) in a laboratory experiment involving 12 younger (mean age = 20.8 years) and 12 older (mean age = 60.0 years) naive participants undertaking a simplified luggage search task. Model fits and assumptions were found to be reliable and accurately reflected improvement with training for decision time, although neither search nor decision components of the model individually showed a significant effect of age. The decision component of the model showed larger improvement with training than did the search component, and stopping-time policy accurately reflected the improvements found between ages and within training levels. The TCM is a useful supplement to detection theory when speed of performance is a factor.     

What do eye movements reveal about the role of memory in visual search?

Horowitz and Wolfe (1998, 2003) have challenged the view that serial visual search involves memory processes that keep track of already inspected locations. The present study used a search paradigm similar to Horowitz and Wolfe's (1998), comparing a standard static search condition with a dynamic condition in which display elements changed locations randomly every 111 ms. In addition to measuring search reaction times, observers' eye movements were recorded. For target-present trials, the search rates were near-identical in the two search conditions, replicating Horowitz and Wolfe's findings. However, the number of fixations and saccade amplitude were larger in the static than in the dynamic condition, whereas fixation duration and the latency of the first saccade were longer in the dynamic condition. These results indicate that an active, memory-guided search strategy was adopted in the static condition, and a passive “sit-and-wait” strategy in the dynamic condition.     

Parents' estimations of their own intelligence and that of their children: a comparison between English and Icelandic parents

In this study, 158 parents (79 fathers and 79 mothers) with a mean age of 38.3 yrs (SD = 8.2), estimated their own, and their children's, overall intelligence as well as their children's score on the 12 intelligence scales from the Wechsler's Intelligence Scale for Children (WISC-III). The sample included English (n = 122) and Icelandic parents (n = 36), and a comparison between them showed few differences except that Icelandic parents' estimates were lower than English parents' estimates. The results showed fathers estimated their own overall intelligence higher than mothers estimated theirs and sons were estimated higher than daughters on overall intelligence. Two factors (verbal, performance) of intelligence were identified through factor analysis of the ratings of the 12 WISC subscale score estimates. A hierarchical regression showed that these two factors explained most of the variance in the estimation of the child's overall intelligence; however, gender of child and parents' self-estimated own overall intelligence added incremental variance.