Applicant versus employee scores on self-report emotional intelligence measures

There exists growing interest to assess applicants' emotional intelligence (EI) via self-report trait-based measures of EI as part of the selection process. However, some studies that experimentally manipulated applicant conditions have cautioned that in these conditions use of self-report measures for assessing EI might lead to considerably higher scores than current norm scores suggest. So far, no studies have scrutinized self-reported EI scores among a sample of actual job applicants. Therefore, this study compares the scores of actual applicants at a large ICT organization (n = 109) on a well-known self-report measure of EI to the scores of employees already working in the organization (n = 239). The current study is the first to show that applicants' scores on a self-report measure of EI during the selection process are indeed higher (d = 1.12) and have less variance (SD ratio = 0.86/1) than incumbents' scores. Finally, a meta-analytic combination of our results with those of earlier research showed that a score increase of about 1 SD in applicant conditions seems to be the rule, regardless of the type of setting, self-report EI measure, and within-versus between-subjects design employed

Emotional intelligence and hot and cool working memory capacity

Emotional Intelligence (EI) is the ability to perceive, use, understand and manage our emotions and the emotions of others. EI, measured through performance-based ability models, seems to favour performance on hot tasks. The aim of the present study is to analyse the relationship between EI, measured through its three main models, and performance on a hot (emotional) and cool (non-emotional) working memory task. 203 undergraduate students of psychology took part in the experiment. They completed an EI test for each of its three main models (performance-based ability model, self-report ability model and self-report mixed model) and a hot and cool working memory task. We found a better performance for higher EI participants, measured through the performance-based ability model instrument (but not with self-report instruments), in the hot working memory task. This result was obtained for the managing branch of the EI instrument. Similar evidence was not found when using the cool working memory task. Our study takes a step forward in the conceptualization of the EI construct within the domain of cognitive processes. They show that, at least when using hot stimuli, the managing branch of the performance-based ability model of EI is a better determinant measure for the working memory capacity than the self-report models.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Local field enhancement: comparing self-similar and dimer nanoantennas

We study the local field enhancement properties of self-similar nanolenses and compare the obtained results with the performance of standard dimer nanoantennas. We report that, despite the additional structural complexity, self-similar nanolenses are unable to provide significant improvements over the field enhancement performance of standard plasmonic dimers

Exploring views on satisfaction with life in young children with chronic illness: an innovative approach to the collection of self-report data from children under 11

The objective of this study was to explore young children’s views on the impact of chronic illness on their life in order to inform future development of a patient-based self-report health outcome measure. We describe an approach to facilitating self-report views from young children with chronic illness. A board game was designed in order to obtain qualitative data from 39 children with a range of chronic illness conditions and 38 healthy controls ranging in age from 3 to 11 years. The format was effective in engaging young children in a self-report process of determining satisfaction with life and identified nine domains. The board game enabled children aged 5–11 years with chronic illness to describe the effects of living with illness on home, family, friends, school and life in general. It generated direct, non-interpreted material from children who, because of their age, may have been considered unable or limited their ability to discuss and describe how they feel. Obtaining this information for children aged 4 and under continues to be a challenge

Capturing doping attitudes by self-report declarations and implicit assessment: a methodology study

BACKGROUND: Understanding athletes' attitudes and behavioural intentions towards performance enhancement is critical to informing anti-doping intervention strategies. Capturing the complexity of these attitudes beyond verbal declarations requires indirect methods. This pilot study was aimed at developing and validating a method to assess implicit doping attitudes using an Implicit Associations Test (IAT) approach. METHODS: The conventional IAT evaluation task (categorising 'good' and 'bad' words) was combined with a novel 'doping' versus 'nutrition supplements' category pair to create a performance-enhancement related IAT protocol (PE-IAT). The difference between average response times to 'good-doping' and 'bad-doping' combinations represents an estimate of implicit attitude towards doping in relation to nutritional supplements. 111 sports and exercise science undergraduates completed the PE-IAT, the Performance Enhancement Attitude Scale (PEAS) and answered questions regarding their beliefs about doping. RESULTS: Longer response times were observed in the mixed category discrimination trials where categories 'good' and 'doping' shared the same response key (compared to 'bad-doping' combination on the same key) indicating a less favourable evaluation of doping substances. The PE-IAT measure did not correlate significantly with the declared doping attitudes (r = .181, p = .142), indicating a predictable partial dissociation. Action-oriented self-report expressed stronger associations with PE-IAT: participants who declared they would consider using doping showed significantly less implicit negativity towards banned substances (U = 109.00, p = .047). Similarly, those who reported more lenient explicit attitudes towards doping or expressly supported legalizing it, showed less implicit negativity towards doping in the sample, although neither observed differences reached statistical significance (t = 1.300, p = .198, and U = 231.00, p = .319, respectively). Known-group validation strategy yielded mixed results: while competitive sport participants scored significantly lower than non-competitive ones on the PEAS (t = -2.71, p = .008), the two groups did not differ on PE-IAT (t = -.093, p = .926). CONCLUSION: The results suggest a potential of the PE-IAT method to capture undeclared attitudes to doping and predict behaviour, which can support targeted anti-doping intervention and related research. The initial evidence of validity is promising but also indicates a need for improvement to the protocol and stimulus material

Self-Evaluation Applied Mathematics 2003-2008 University of Twente

This report contains the self-study for the research assessment of the Department of Applied Mathematics (AM) of the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente (UT). The report provides the information for the Research Assessment Committee for Applied Mathematics, dealing with mathematical sciences at the three universities of technology in the Netherlands. It describes the state of affairs pertaining to the period 1 January 2003 to 31 December 2008

What makes an entrepreneur?

This article uses various micro data sets to study entrepreneurship. Consistent with the existence of capital constraints on potential entrepreneurs, the estimates imply that the probability of self-employment depends positively upon whether the individual ever received an inheritance or gift. When directly questioned in interview surveys, potential entrepreneurs say that raising capital is their principal problem. Consistent with our theoretical model's predictions, the self-employed report higher levels of job and life satisfaction than employees. Childhood psychological test scores, however, are not strongly correlated with later self-employment

Validation of a smartphone app to map social networks of proximity

Social network analysis is a prominent approach to investigate interpersonal relationships. Most studies use self-report data to quantify the connections between participants and construct social networks. In recent years smartphones have been used as an alternative to map networks by assessing the proximity between participants based on Bluetooth and GPS data. While most studies have handed out specially programmed smartphones to study participants, we developed an application for iOS and Android to collect Bluetooth data from participants own smartphones. In this study, we compared the networks estimated with the smartphone app to those obtained from sociometric badges and self-report data. Participants (n=21) installed the app on their phone and wore a sociometric badge during office hours. Proximity data was collected for 4 weeks. A contingency table revealed a significant association between proximity data (rho = 0.17, p<0.0001), but the marginal odds were higher for the app (8.6%) than for the badges (1.3%), indicating that dyads were more often detected by the app. We then compared the networks that were estimated using the proximity and self-report data. All three networks were significantly correlated, although the correlation with self-reported data was lower for the app (rho = 0.25) than for badges (rho = 0.67). The scanning rates of the app varied considerably between devices and was lower on iOS than on Android. The association between the app and the badges increased when the network was estimated between participants whose app recorded more regularly. These findings suggest that the accuracy of proximity networks can be further improved by reducing missing data and restricting the interpersonal distance at which interactions are detected.Comment: 20 pages, 5 figure

Support-seeking, support-provision and support-perception in distressed married couples : a multi-method analysis

An emerging consensus argues for the importance of spousal support in our understanding of how relationships succeed or fail. This report covers two studies that examined support seeking, support provision and support perception in distressed married couples. In Study 1 a total of seventy distressed and seventy non-distressed couples participated in a survey study; in Study 2 twenty distressed and twenty non-distressed couples participated in an observational study. Global self-reports were used in both studies to assess spouses' support behaviour and perceived support. These measures were supplemented in Study 2 with measures of observed support behaviour and interaction-based perceived support as assessed during specific support interactions. Our self-report and observational measures consistently indicated that distressed marital couples display lower levels of positive support-seeking and emotional or instrumental support provision than non-distressed couples. We also found evidence for higher levels of negative support-seeking and provision behaviour in distressed couples, as compared to non-distressed couples. Distressed spouses also reported lower levels of global and interaction-based perceived support than non-distressed spouses