The last two decades have seen a steadily growing interest in emotional intelligence (EI) research and its applications. As a side effect of this boom in research activity, a flood of conceptualizations and measures of EI have been introduced. Consequently, the label “EI” has been used for a wide array of (often conflicting) models and measures, which has impeded consistent summaries of empirical evidence. This confusion among models/measures is problematic because different measurement approaches produce different results, which makes it difficult to theorize what EI really is or what it predicts since there is limited consistency in the empirical data. To advance the field both theoretically and practically, this special issue aims to provide new data which may help to critically review EI's theory.
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Mancini et al. (2022) studied this question.
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