Evidence map›Paper›PMID 41853833›Full record

ArticleFrontiers in psychology2026

Beyond emotional intelligence ability: the power of supervisor-subordinate alignment in perceptions of supervisor emotionally intelligent behavior.

Zehavit Levitats, Alisha Gupta, Alexander S McKay, Zorana Ivcevic

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zehavit LevitatsDepartment of Political Studies, Bar-Ilan University, Ramat Gan, Israel.
Alisha GuptaDepartment of Economics, Business, and Accounting, Randolph-Macon College, Ashland, VA, United States.
Alexander S McKayHuman Resources Research Organization, Alexandria, VA, United States.
Zorana IvcevicYale Center for Emotional Intelligence, Yale University, New Haven, CT, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Emotional intelligence (EI) is widely recognized as critical to supervisory effectiveness. However, because EI is enacted and interpreted within relationships, it should be studied not only as individual ability but also as behavior and perception. This study examines how alignment or misalignment between supervisors' and subordinates' perceptions of supervisor emotionally intelligent behavior (EIB) relates to subordinate well-being, above and beyond supervisors' actual EI ability. Methods: Data were collected from 202 supervisors and 2,055 subordinates across five hospitals, a high-stakes, emotionally charged environment particularly valuable for studying EI-related dynamics. We measured supervisor ability EI using the MSCEIT and assessed perceptions of supervisor EIB from both supervisors and subordinates. Multilevel polynomial regression was used to analyze perceptual alignment effects on subordinate engagement and burnout. Results: Controlling for supervisor ability EI, perceptual alignment on supervisor EIB predicted significantly higher subordinate engagement and lower burnout. Conversely, misalignment, particularly supervisor overestimation of their EIB, related to poorer subordinate outcomes. Discussion: These findings highlight the relational and interpretive nature of EIB in management, demonstrating that how supervisors' emotional intelligence is perceived, and whether those perceptions align, matters for subordinate well-being.

Indexed as

burnoutemotional intelligenceemotionally intelligent behaviorengagementjob demands-resources modelself-other agreement theory

Identifiers

PMID41853833
PMCPMC12991986

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.