Complex working memory span tasks and higher-order cognition: A latent-variable analysis of the relationship between processing and storage

Complex span tasks, assumed by many to measure an individual's working memory capacity, are predictive of several aspects of higher-order cognition. However, the underlying cause of the relationships between “processing-and-storage” tasks and cognitive abilities is still hotly debated nearly 30 years after the tasks were first introduced. The current study utilised latent constructs across verbal, numerical, and spatial content domains to examine a number of questions regarding the predictive power of complex span tasks. In particular, the relations among processing time, processing accuracy, and storage accuracy from the complex span tasks were examined, in combination with their respective relationships with fluid intelligence. The results point to a complicated pattern of unique and shared variance among the constructs. Implications for various theories of working memory are discussed.     

The self‐choice effects on memory and individual differences in emotional intelligence

The present study examined the self‐choice effects on intentional memory and the relation between individual differences in emotional intelligence, and the size of the self‐choice effects. Word pairs were supplied to the participants in either a self‐choice or forced‐choice condition. In the self‐choice condition the participants were asked to choose one of the words that elicited more pleasant or more unpleasant episodes, and to remember the chosen word. In the forced‐choice condition one of the paired words was underlined to signify that it was the word to remember. For participants who chose a word that elicited more pleasant episodes, self‐choice effects were observed in pleasant‐pleasant and pleasant‐unpleasant word pairs. However, for participants who were asked to choose a word that elicited more unpleasant episodes, the effects were found in unpleasant‐unpleasant and pleasant‐unpleasant word pairs. The size of the self‐choice effects was determined by the level of emotional intelligence.     

Be water: Direct and indirect relations between perceived emotional intelligence and subjective well‐being

Trait emotional intelligence (TEI) has been shown to have predictive capacity for certain dimensions of adaptation, such as life satisfaction and affectivity. The Trait Meta Mood Scale (TMMS), based on the EI ability model, has been shown to have predictive capacity for subjective well‐being through its three factors (attention, clarity, and emotional repair), but little is known about the mediating role played by these dimensions, both among themselves and in relation to other variables. The aim of the present study was to analyse the direct and indirect relationships between the TMMS factors and subjective well‐being dimensions, using structural equation modelling, also including self‐efficacy in the model as a mediator of these relationships. Attention was found to have a negative effect on subjective well‐being, which was inhibited when clarity and repair were included as mediators. Self‐efficacy played a major role since it increased the positive effect of clarity and repair on subjective well‐being. This study provides evidence of the advantage of using the TMMS factors separately and of studying their mediational role in order to better understand the processes underlying the manner in which TEI influences subjective well‐being.     

Emotional intelligence compensates for low IQ and boosts low emotionality individuals in a self-presentation task

The research on emotional intelligence (EI) has focused mainly on testing the incremental validity of EI with respect to general intelligence and personality; less attention has been devoted to investigating the potential interaction effects. In a self-presentation task that required participants to obtain positive evaluations from others, individuals low in IQ but high in EI performed as well as the high IQ individuals. In addition, the low emotionality individuals performed significantly higher when also high in EI. The results extend the previous findings on the compensatory effect of EI on low IQ to the domain of interpersonal effectiveness and shed light on the effective functioning of personality traits when interpreted with the interaction of EI. Overall this study suggests that the role of EI in predicting performance might have been overlooked by checking solely for main effects and illustrates new venues for understanding the contribution of EI in explaining emotion-laden performance.     

Emotional maturity,dispositional coping,and coping effectiveness among adolescent athletes

ObjectivesAlthough some scholars have suggested that coping is constrained by emotional maturity, little is known about the relationship between these constructs. In this paper we assessed a model that included emotional maturity, dispositional coping, and coping effectiveness. We predicted that emotional maturity would have a direct effect on coping effectiveness in addition to an indirect effect via task-, distraction-, and disengagement-oriented coping.DesignCross-sectional.MethodsSeven hundred and ninety athletes completed measures of emotional maturity, dispositional coping, and coping effectiveness. The data was analyzed using structural equation modeling, which revealed partial support for our model.ResultsSeveral of the predicted paths were significant. In particular, there was a significant path between emotional maturity and task-oriented coping, but the paths between emotional maturity and distraction- and disengagement-oriented coping were not significant.ConclusionOur findings indicate that how an athlete copes might be limited by his or her level of emotional maturity, which provides further evidence that coping is constrained by maturation among adolescent athletes.     

Elucidating the Functional Relationship Between Working Memory Capacity and Psychometric Intelligence: A Fixed-Links Modeling Approach for Experimental Repeated-Measures Designs

Numerous studies reported a strong link between working memory capacity (WMC) and fluid intelligence (Gf), although views differ in respect to how close these two constructs are related to each other. In the present study, we used a WMC task with five levels of task demands to assess the relationship between WMC and Gf by means of a new methodological approach referred to as fixed-links modeling. Fixed-links models belong to the family of confirmatory factor analysis (CFA) and are of particular interest for experimental, repeated-measures designs. With this technique, processes systematically varying across task conditions can be disentangled from processes unaffected by the experimental manipulation. Proceeding from the assumption that experimental manipulation in a WMC task leads to increasing demands on WMC, the processes systematically varying across task conditions can be assumed to be WMC-specific. Processes not varying across task conditions, on the other hand, are probably independent of WMC. Fixed-links models allow for representing these two kinds of processes by two independent latent variables. In contrast to traditional CFA where a common latent variable is derived from the different task conditions, fixed-links models facilitate a more precise or purified representation of the WMC-related processes of interest. By using fixed-links modeling to analyze data of 200 participants, we identified a non-experimental latent variable, representing processes that remained constant irrespective of the WMC task conditions, and an experimental latent variable which reflected processes that varied as a function of experimental manipulation. This latter variable represents the increasing demands on WMC and, hence, was considered a purified measure of WMC controlled for the constant processes. Fixed-links modeling showed that both the purified measure of WMC (β = .48) as well as the constant processes involved in the task (β = .45) were related to Gf. Taken together, these two latent variables explained the same portion of variance of Gf as a single latent variable obtained by traditional CFA (β = .65) indicating that traditional CFA causes an overestimation of the effective relationship between WMC and Gf. Thus, fixed-links modeling provides a feasible method for a more valid investigation of the functional relationship between specific constructs.     

Eliciting Intelligence Using the Scharff‐Technique: Closing in on the Confirmation/Disconfirmation‐Tactic

The current study examined interview techniques aimed at eliciting intelligence from human sources. We compared two versions of the Scharff‐technique to the Direct Approach (a combination of open and direct questions). The Scharff conditions, conceptualised into four tactics, differed only with respect to the ‘confirmation/disconfirmation‐tactic’. The participants (N = 90) received background information and took the role as a source in a phone interview. They were instructed to strike a balance between not revealing too little and too much information. As predicted, the Scharff‐technique resulted in more new information than the Direct Approach. Importantly, the sources interviewed by the Scharff‐technique perceived that they had revealed less new information than they objectively did, whereas the sources interviewed by the Direct Approach perceived that they had revealed more new information than they objectively did. Furthermore, the interviewer's information objectives were better masked with the confirmation‐tactic than with the disconfirmation‐tactic. The results highlight the Scharff‐technique as a promising human intelligence gathering technique. Copyright © 2014 John Wiley & Sons, Ltd.     

Emotional intelligence as a predictor of employees' career adaptability

Emotional intelligence and career adaptability are crucial psychosocial meta-capacities for successful adaptation in various spheres of life, including the realm of careers. However, little is known about the relationship between emotional intelligence and Savickas's (2005) notion of career adaptability. The current research examines the relation of emotional intelligence to career adaptability. A cross-sectional survey was conducted with a sample of 409 early career black call center agents (Mean age = 32) employed in three of the largest outsourced financial call centers in Africa. Canonical correlation analysis and structural equation modeling confirmed the predictive validity of emotional intelligence in relation to career adaptability. The results showed that managing one's own emotions contributes the most in explaining overall emotional intelligence a n d the variance in overall career adaptability with its four domains of career concern, career control, career confidence and career curiosity. The results of the study highlight the importance of developing individuals' emotional intelligence in order to strengthen their career adaptability. The research contributed new and valuable insights that may inform career development interventions for call center agents.     

EI training and pre-service teacher wellbeing

Teaching is a profession of high occupational stress and ‘emotional labour’ that can potentially result in job dissatisfaction, mental health problems, and leaving the profession. Emotional intelligence (EI) encompasses an array of emotional competencies that facilitate the identification, processing, and regulation of emotion and may enhance successful stress management, as well as augmentation of teacher well-being and classroom performance. Drawing upon research that EI can be developed through specific training, a modified version of the program, “Managing Occupational Stress through the Development of Emotional Intelligence” (Hansen, Gardner, & Stough, 2007), was administered to pre-service teachers over a five-week period. A control group completed only the questionnaire protocol of EI and other measures at the start, end, and one month following the program. Results were generally in line with those obtained by Poole and Saklofske (2009) suggesting that EI and related psychological well-being variables can be positively impacted by focused EI training.