Two studies examined aspects of the validity of self-report and performance-based measures of emotional intelligence (EI) relevant to their use in personnel selection. In Study 1, structural equation modeling indicated that a two-factor model with separate factors for the two types of EI measures fit better than a one-factor solution. The performance-based EI factor was more related to cognitive ability (R ¼ .38) than personality (R ¼ .26), whereas the self-report EI factor was more related to personality (R ¼ .85) than cognitive ability (R ¼ .09). Although the performance-based EI factor correlated more strongly with job performance (q ¼ .24) than did that of the self-report (q ¼ .05), it provided little incremental validity beyond cognitive ability and conscientiousness. In Study 2, participants were asked to complete the measures as if applying for a job, and mean scores were then compared with those of Study 1. Results indicated that self-report EI measures were more vulnerable to distortion than were the performance-based measures. Implications for the assessment of EI in personnel selection contexts are discussed.
This study was aimed at investigating the relationship between personality traits and success in different roles involved in New Business Development (NBD). NBD is a process in which analysts generate ideas for new products or services, evaluate their feasibility, and develop implementation plans for those that are most promising. A personality inventory was created to identify individuals with traits better suited for the idea generation or concept implementation role. To evaluate the validity of the inventory, supervisors rated 68 NBD employees who also completed the personality inventory. Results indicated that being more innovative and less methodical was associated with success at idea generation, whereas being less innovative and more methodical was related to role success for implementation. This suggests that personality tests can be used to guide the selection and/or placement of employees in NBD settings.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.