Emotional Intelligence Measured in a Highly Competitive Testing Situation

Center for Economic Psychology
Source: RePEc

ABSTRACT This is a study in which emotional intelligence (EI) as well as several other personality dimensions were studied in a real, high-stakes, selection situation, N=190. Forty-one trait oriented personality scales were measured and factor analyzed. A factor pattern with four secondary factors was found: EI, emotional stability, rigidity/perfectionism and energy/dominance. These factors were related to standard FFM (Five Factor Model) dimensions, to Hogan's Development Survey ("the dark side of personality") and to a number of tasks measuring skills in identifying emotions and emotion knowledge. It was found that EI and emotional stability correlated significantly with some of the latter measures, more so than the FFM scales. Impression management was measured with several scales. In the end of the testing session, participants were instructed explicitly to fake their answers. These active faking responses showed consistency across personality dimensions and also correlated strongly with impression management scores. Correcting the final pooled score (the four secondary factors combined) for impression management and faking produced fairly strong changes in the "short list" of participants ranking among the top 30, or 60. It is concluded that personality trait EI shows some promise while emotion identification tasks must probably be geared towards human emotion rather than abstract judgment of emotion as expressed in art or music.

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    ABSTRACT: Introduction: Emotional intelligence (EI) is deemed an important aspect of being good medical doctors. Universiti Sains Malaysia (USM) Emotional Quotient Inventory (USMEQ-i) is an EI inventory in Malay language developed primarily as medical student selection tool in USM. Although it was already validated by exploratory factor analysis (EFA), EFA is considered insufficient evidence of construct validity, thus confirmatory factor analysis (CFA) was conducted. Objectives: To determine measurement model validity and construct validity of USMEQ-i among medical degree program applicants in USM by CFA. Methods: USMEQ-i data file for medical degree program applicants in USM for year 2010/2011 and 2011/2012 academic sessions were obtained from Medical Education Department in USM. A random sample of 512 cases was drawn from the data file. Of the sample, only 453 cases were valid study sample after preliminary data screening and assumption checking. CFA was conducted on the sample using maximum likelihood (ML) estimation with bootstrapping technique due to violation of multivariate normality assumption. USMEQ-i measurement model was proposed as a second-order EI factor with seven first-order factors of EI and a Faking Index (FI) factor, with correlation between second-order EI factor and FI factor. Results: The proposed model could not be fit into the study sample data. EI factors and FI factor had to be analyzed separately due to non-positive definite problem. After modifications to the model, CFA of EI factors were suggestive of two-factor model instead of the proposed seven-factor model. Consciousness, Maturity and Control (CoMaCt). CFA of FI factor maintained one-factor model and also valid in term of construct. Conclusion: The modified USMEQ-i, which consisted of separate EI and FI models, was proven to have valid measurement models and reliable constructs. It is considered to be suitable for use among applicants to medical degree program in USM. However, its use as medical student selection tool may require further research, especially how predictive USMEQ-i scores with real performance of medical students, generalizability of the inventory and its stability over time.
    12/2012; 4(2). DOI:10.5959/eimj.v4i2.33


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