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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-1078</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2026.1637168</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Beyond emotional intelligence ability: the power of supervisor&#x2013;subordinate alignment in perceptions of supervisor emotionally intelligent behavior</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Levitats</surname>
<given-names>Zehavit</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1888212"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gupta</surname>
<given-names>Alisha</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/890102"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>McKay</surname>
<given-names>Alexander S.</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/631126"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Ivcevic</surname>
<given-names>Zorana</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/953675"/>
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<aff id="aff1"><label>1</label><institution>Department of Political Studies, Bar-Ilan University</institution>, <city>Ramat Gan</city>, <country country="il">Israel</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Economics, Business, and Accounting, Randolph-Macon College</institution>, <city>Ashland</city>, <state>VA</state>, <country country="us">United States</country></aff>
<aff id="aff3"><label>3</label><institution>Human Resources Research Organization</institution>, <city>Alexandria</city>, <state>VA</state>, <country country="us">United States</country></aff>
<aff id="aff4"><label>4</label><institution>Yale Center for Emotional Intelligence, Yale University</institution>, <city>New Haven</city>, <state>CT</state>, <country country="us">United States</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Zehavit Levitats, <email xlink:href="mailto:zhavit@gmail.com">zehavit.levitats@biu.ac.il</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-03">
<day>03</day>
<month>03</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1637168</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>18</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Levitats, Gupta, McKay and Ivcevic.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Levitats, Gupta, McKay and Ivcevic</copyright-holder>
<license>
<ali:license_ref start_date="2026-03-03">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>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&#x2019; and subordinates&#x2019; perceptions of supervisor emotionally intelligent behavior (EIB) relates to subordinate well-being, above and beyond supervisors&#x2019; actual EI ability.</p>
</sec>
<sec>
<title>Methods</title>
<p>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.</p>
</sec>
<sec>
<title>Results</title>
<p>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.</p>
</sec>
<sec>
<title>Discussion</title>
<p>These findings highlight the relational and interpretive nature of EIB in management, demonstrating that how supervisors&#x2019; emotional intelligence is perceived, and whether those perceptions align, matters for subordinate well-being.</p>
</sec>
</abstract>
<kwd-group>
<kwd>emotional intelligence</kwd>
<kwd>emotionally intelligent behavior</kwd>
<kwd>engagement</kwd>
<kwd>burnout</kwd>
<kwd>job demands-resources model</kwd>
<kwd>self-other agreement theory</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This research was funded by the grant from the Ontario Hospital Association to the Yale Center for Emotional Intelligence (Principal Investigator, ZI).</funding-statement>
</funding-group>
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<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="109"/>
<page-count count="15"/>
<word-count count="11721"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Organizational Psychology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<title>Introduction</title>
<p>Emotional intelligence (EI), the ability to monitor, discriminate between, and use one&#x2019;s own and others&#x2019; emotions to guide their and others&#x2019; cognitions and behavior (<xref ref-type="bibr" rid="ref18">C&#x00F4;t&#x00E9;, 2014</xref>; <xref ref-type="bibr" rid="ref47">Mayer and Salovey, 1997</xref>; <xref ref-type="bibr" rid="ref46">Mayer et al., 2016</xref>), has gained significant traction among practitioners as a predictor of effective leadership (<xref ref-type="bibr" rid="ref23">Elfenbein et al., 2015</xref>; <xref ref-type="bibr" rid="ref34">Ivcevic et al., 2021</xref>; <xref ref-type="bibr" rid="ref63">Saha et al., 2023</xref>). Yet, its relevance to supervisor effectiveness continues to be debated within the academic community (<xref ref-type="bibr" rid="ref2">Ashkanasy and Daus, 2005</xref>; <xref ref-type="bibr" rid="ref9001">Antonakis et al., 2009</xref>; <xref ref-type="bibr" rid="ref9008">Cherniss, 2010</xref>; <xref ref-type="bibr" rid="ref9011">Dasborough et al., 2021</xref>; <xref ref-type="bibr" rid="ref9021">Landy, 2005</xref>; <xref ref-type="bibr" rid="ref9024">Locke, 2005</xref>; <xref ref-type="bibr" rid="ref9027">Roberts et al., 2010</xref>). One reason for this ongoing debate is the fragmentation of the literature into distinct research streams, each focused on conceptually distinct attributes (<xref ref-type="bibr" rid="ref2">Ashkanasy and Daus, 2005</xref>). Stream 1 defines EI as a set of mental abilities (i.e., capacities to solve emotion-related problems) and measures EI by using performance-based tests scored based on objective criteria (e.g., MSCEIT; <xref ref-type="bibr" rid="ref49">Mayer et al., 2003</xref>). Stream 2 defines EI as perceptions of ability and uses self-report scales to assess it (making it akin to emotional self-efficacy; <xref ref-type="bibr" rid="ref9030">Schutte et al., 1998</xref>; <xref ref-type="bibr" rid="ref9036">Wong and Law, 2002</xref>). Stream 3, &#x201C;mixed EI&#x201D; defines it as a broad set of traits and social&#x2013;emotional attributes (e.g., <xref ref-type="bibr" rid="ref9015">Goleman, 1998</xref>). This study focuses on emotionally intelligent behavior (EIB), actions that reflect the perceiving, using, understanding, and regulating of emotions, which are influenced by the ability and motivation for such behavior, as well as contextual-organizational factors (<xref ref-type="bibr" rid="ref9023">Levitats et al., 2025</xref>).</p>
<p>Barring a few exceptions, all of which are in non-managerial contexts (<xref ref-type="bibr" rid="ref14">Brackett and Mayer, 2003</xref>; <xref ref-type="bibr" rid="ref15">Brackett et al., 2006</xref>; <xref ref-type="bibr" rid="ref9022">Law et al., 2004</xref>), research on the role of supervisors&#x2019; EI in predicting subordinate work outcomes has typically focused on the second EI stream (i.e., self-reports) and relied on one rating source. Most research assesses how subjective perceptions of supervisor EI, reported by either subordinates or supervisors, relate to subordinate outcomes. This approach overlooks the possibility that there may be misalignment in these perceptions and that the degree of (mis)alignment between supervisors&#x2019; and subordinates&#x2019; perceptions with regard to supervisor EI may in itself influence subordinates&#x2019; experiences at work. Exploring this (mis)alignment is especially important in light of meta-analytic findings showing there is only moderate agreement between supervisors&#x2019; self-ratings and subordinate ratings of supervisors&#x2019; behavior (<xref ref-type="bibr" rid="ref24">Fleenor et al., 2010</xref>; <xref ref-type="bibr" rid="ref41">Lee and Carpenter, 2018</xref>), with modest correspondence observed specifically for EI (<xref ref-type="bibr" rid="ref23">Elfenbein et al., 2015</xref>). This limited agreement raises fundamental questions about the social construction of supervisor EIB and its relationship to subordinate outcomes. More specifically, to what extent does the alignment between supervisors&#x2019; and subordinates&#x2019; perceptions of supervisor EIB matter, beyond the supervisor&#x2019;s actual EI ability? How do congruent versus incongruent perceptions of supervisor EIB relate to subordinate outcomes?</p>
<p>This study addresses these gaps by incorporating both supervisors&#x2019; and subordinates&#x2019; perceptions of supervisor EIB. <xref ref-type="bibr" rid="ref9023">Levitats et al. (2025)</xref> have proposed that such behavior is based on one&#x2019;s ability (emotion-related know how), motivation (efficacy to enact behavior and value ascribed to it), and contextual opportunities (supports and barriers). We compare supervisors&#x2019; perceptions of their own behavior and how their subordinates&#x2019; perceive it, assessing the degree of (mis)alignment between them, and its relationship with two critical subordinate well-being outcomes: work engagement and burnout. Work engagement refers to a positive, fulfilling work-related state characterized by vigor, dedication, and absorption in one&#x2019;s work (<xref ref-type="bibr" rid="ref9029">Schaufeli et al., 2002</xref>). Burnout represents a state of physical, emotional, and mental exhaustion, resulting from long-term involvement in mental and emotional demands at work (<xref ref-type="bibr" rid="ref66">Schaufeli and Greenglass, 2001</xref>). The two constructs are commonly regarded as the most indicative of well-being at work (see <xref ref-type="bibr" rid="ref25">Galanakis and Tsitouri, 2022</xref>; <xref ref-type="bibr" rid="ref65">Schaufeli, 2017</xref>; <xref ref-type="bibr" rid="ref78">Zhou et al., 2024</xref>).</p>
<p>These well-being indicators are particularly fitting for this study. Because supervisors exert substantial influence over subordinate daily experiences (e.g., by setting expectations, coordinating tasks, and providing social and emotional support), subordinate well-being is highly responsive to the dynamics of this relationship (<xref ref-type="bibr" rid="ref9006">Breevaart and Bakker, 2018</xref>; <xref ref-type="bibr" rid="ref9012">Decuypere and Schaufeli, 2020</xref>; <xref ref-type="bibr" rid="ref9017">Heyns et al., 2022</xref>; <xref ref-type="bibr" rid="ref9037">Xu and Farris, 2024</xref>). Through emotion recognition, regulation, and response patterns, supervisors influence how subordinates interpret workplace events and manage emotional demands. This is especially relevant for work engagement and burnout because both indicators of work-based well-being directly capture subordinates&#x2019; emotional experiences at work (<xref ref-type="bibr" rid="ref9019">Karahan Kaplan et al., 2024</xref>).</p>
<p>We integrate two theoretical frameworks &#x2013; Self-Other Agreement theory (SOA; <xref ref-type="bibr" rid="ref5">Atwater and Yammarino, 1992</xref>) and Job Demands-Resources model (JD-R; <xref ref-type="bibr" rid="ref7">Bakker and Demerouti, 2017</xref>, <xref ref-type="bibr" rid="ref8">2024</xref>). The JD-R model is the dominant framework for linking job characteristics to subordinate well-being in various occupational settings including healthcare (for reviews and meta-analyses see <xref ref-type="bibr" rid="ref25">Galanakis and Tsitouri, 2022</xref>; <xref ref-type="bibr" rid="ref73">Vargas-Ben&#x00ED;tez et al., 2023</xref>). The model posits that workplace characteristics function as either job demands (i.e., aspects requiring sustained effort and associated with costs, such as health impairment) or job resources (i.e., aspects that facilitate goal achievement, reduce demands, and stimulate growth). Self&#x2013;Other Agreement theory (<xref ref-type="bibr" rid="ref5">Atwater and Yammarino, 1992</xref>, <xref ref-type="bibr" rid="ref6">1997</xref>) holds that supervisors&#x2019; self-ratings should be compared with subordinates&#x2019; perceptions because these views often diverge, creating different patterns of agreement or discrepancy. These patterns, whether congruent or incongruent, carry distinctive implications, with alignment generally supporting more positive outcomes and misalignment producing varying effects depending on whether supervisors overestimate or underestimate their behavior. We draw on SOA theory (<xref ref-type="bibr" rid="ref5">Atwater and Yammarino, 1992</xref>, <xref ref-type="bibr" rid="ref6">1997</xref>) to theorize that patterns of EIB perceptual (mis)alignment function as either resources or demands for subordinates.</p>
<p>Supervisor-subordinate aligned perceptions of supervisor EIB reflect reduced partner uncertainty, defined as the difficulty to reliably anticipate or interpret a partner&#x2019;s attitudes and behaviors within interaction (<xref ref-type="bibr" rid="ref10">Berger and Bradac, 1982</xref>; <xref ref-type="bibr" rid="ref37">Knobloch and Solomon, 1999</xref>; <xref ref-type="bibr" rid="ref38">Kreye, 2017</xref>). When both supervisor and subordinate share similar views of the supervisor&#x2019;s EIB, whether high or low, they hold comparable expectations about the emotional tone, quality, and reliability of supervisory interactions, thereby minimizing ambiguity in the relationship. In contrast, misaligned perceptions heighten relational uncertainty by creating discrepant expectations about the supervisor&#x2019;s emotional responsiveness and support. Consistent with evidence that uncertainty operates as a job demand that drains psychological resources and predicts emotional exhaustion, while reduced uncertainty serves as a job resource that supports well-being (<xref ref-type="bibr" rid="ref9035">Usman et al., 2023</xref>), this study conceptualizes partner uncertainty as a central psychosocial mechanism linking perceptual (mis)alignment in supervisor perceived EIB to subordinate well-being. From a methodological point of view, by factoring in supervisors&#x2019; EI ability (MSCEIT; <xref ref-type="bibr" rid="ref49">Mayer et al., 2003</xref>) scores, we isolate the unique impact of perceptual (mis)alignment from supervisor&#x2019;s actual EI ability and examine this isolated effect on subordinate well-being, advancing our understanding of how socially constructed perceptions of emotional competence shape subordinate experiences.</p>
</sec>
<sec id="sec2">
<title>Theoretical background</title>
<sec id="sec3">
<title>Emotional intelligence</title>
<p>Emotional intelligence was coined to denote individual capacity to reason with and about emotions in relation to four interconnected abilities: (1) Perceiving emotions accurately in oneself and others through interpretation of clues such as facial expressions, body language, and tone; (2) Using emotions strategically to facilitate decision making and enhance problem-solving by optimizing mood-thinking relationships; (3) Understanding typical origins, evolution, and outcomes of emotions; and (4) Managing emotions effectively in oneself and others to achieve desired hedonic and instrumental outcomes (<xref ref-type="bibr" rid="ref47">Mayer and Salovey, 1997</xref>). In addition to research on EI as a set of mental abilities applied to emotional subject matter, organizational behavior scholars studied how individuals perceive their emotional abilities. These self-perceptions are akin to emotional self-efficacy (<xref ref-type="bibr" rid="ref9020">Kirk et al., 2008</xref>; <xref ref-type="bibr" rid="ref9036">Wong and Law, 2002</xref>). Both EI ability and self-perceptions have been related to outcomes related to relationship effectiveness, performance, and well-being (<xref ref-type="bibr" rid="ref52">Miao et al., 2016</xref>, <xref ref-type="bibr" rid="ref53">2017</xref>, <xref ref-type="bibr" rid="ref54">2018</xref>; <xref ref-type="bibr" rid="ref59">O'Boyle et al., 2011</xref>; <xref ref-type="bibr" rid="ref64">S&#x00E1;nchez-&#x00C1;lvarez et al., 2016</xref>).</p>
<p>Recent theory has pointed to the difference between individual potential and enacted behavior (<xref ref-type="bibr" rid="ref33">Ivcevic et al., 2025</xref>; <xref ref-type="bibr" rid="ref9023">Levitats et al., 2025</xref>). This distinction is important because internal attributes such as ability and self-perceptions are not the most proximal influences on relevant outcomes in the organizational contexts. They are both attributes describing potential for particular behavior. The most direct influence on work outcomes is exerted by enacted behavior (<xref ref-type="bibr" rid="ref13">Boyatzis, 2018</xref>; <xref ref-type="bibr" rid="ref33">Ivcevic et al., 2025</xref>; <xref ref-type="bibr" rid="ref9023">Levitats et al., 2025</xref>). For this reason, the present research focuses on emotionally intelligent behavior (EIB) by assessing supervisor perceptions of their own actions and employee perceptions of how their supervisors act.</p>
<p>Supervisor EIB is related to employee experience of work (perceived ability to grow, greater experience of positive emotions) and their performance (e.g., creative behavior at work; <xref ref-type="bibr" rid="ref34">Ivcevic et al., 2021</xref>). Supervisor EIB also mediates the relationship between contextual variables, such as EI-focused human resource practices and employee well-being-related outcomes (<xref ref-type="bibr" rid="ref43">Levitats et al., 2022</xref>). The present study goes a step further and acknowledges that EIB is enacted in a social context. Supervisors interpret their own behavior and their subordinates perceive it, with similarities and differences between them having implications for relevant employee outcomes.</p>
</sec>
<sec id="sec4">
<title>Self&#x2013;other agreement theory applied to EIB</title>
<p>Self-Other Agreement theory (<xref ref-type="bibr" rid="ref5">Atwater and Yammarino, 1992</xref>, <xref ref-type="bibr" rid="ref6">1997</xref>) emphasizes the importance of comparing supervisors&#x2019; self-ratings with others&#x2019; perceptions, since supervisor self-ratings often diverge from subordinate ratings (<xref ref-type="bibr" rid="ref4">Atwater et al., 2005</xref>). The theory delineates four patterns of supervisor-subordinate perceptions: Two congruence patterns: in-agreement good (high ratings from both self and other) and in-agreement poor (low ratings from both sources); and two incongruence patterns: supervisor underestimation (supervisors&#x2019; self-ratings lower than other-ratings) and supervisor overestimation (supervisors&#x2019; self-ratings higher than other-ratings) (<xref ref-type="bibr" rid="ref4">Atwater et al., 2005</xref>). Agreement generally yields better outcomes (e.g., supervisor effectiveness, subordinate well-being) than disagreement, by fostering mutual understanding and expectations (<xref ref-type="bibr" rid="ref1">Amundsen and Martinsen, 2014</xref>; <xref ref-type="bibr" rid="ref28">Hasson et al., 2019</xref>). When perceptions diverge, over-raters show poorer outcomes as they fail to recognize and address others&#x2019; concerns, while under-raters demonstrate mixed outcomes due to their competence and drive for improvement (<xref ref-type="bibr" rid="ref4">Atwater et al., 2005</xref>).</p>
<p>In the context of supervisors&#x2019; EIB, congruence can take one of two forms. In high&#x2013;high cases, supervisors believe they effectively notice, interpret, and respond to subordinates&#x2019; emotions, and subordinates experience these behaviors similarly. In low&#x2013;low cases, both parties recognize that the supervisor does not consistently display emotionally intelligent behaviors. Incongruence may occur as overestimation, when supervisors believe they acknowledge staff emotions, provide support, and handle sensitive situations well, while subordinates experience them as inattentive or dismissive of emotional cues. Alternatively, incongruence can arise when supervisors underestimate their EIB, rating themselves as less effective emotionally even though subordinates perceive them as empathetic, supportive, and skilled at managing emotional dynamics. To the best of our knowledge, the framework has not yet been applied to EI research, making the present study a novel extension of SOA theory into the EI domain.</p>
</sec>
<sec id="sec5">
<title>Job demands-resources model applied to EIB</title>
<p>The Job Demands-Resources (JD-R) model (<xref ref-type="bibr" rid="ref7">Bakker and Demerouti, 2017</xref>, <xref ref-type="bibr" rid="ref8">2024</xref>) categorizes workplace characteristics into two elements: demands and resources. Job demands require ongoing exertion and create physiological and psychological strain, while job resources facilitate goals, minimize demands, and enable development through elements like supportive relationships (<xref ref-type="bibr" rid="ref9013">Demerouti et al., 2001</xref>). Demands and resources trigger a health-impairment process and a motivational process, respectively. Persistent demands lead to burnout by depleting energy through continuous coping, while resources foster engagement in two ways: intrinsically, by supporting personal development and growth, or extrinsically, by helping achieve work objectives (<xref ref-type="bibr" rid="ref7">Bakker and Demerouti, 2017</xref>; <xref ref-type="bibr" rid="ref20">Demerouti and Bakker, 2023</xref>). Beyond these distinct processes, the model explains how demands and resources interact. Resources can buffer the negative effects of demands on well-being, attenuating their energy-depleting impact when resources are abundant (<xref ref-type="bibr" rid="ref9004">Bakker et al., 2005</xref>; <xref ref-type="bibr" rid="ref9032">Shin and Hur, 2021a</xref>, <xref ref-type="bibr" rid="ref9033">2021b</xref>). Additionally, challenging demands can amplify resources&#x2019; positive impact on engagement (<xref ref-type="bibr" rid="ref9006">Breevaart and Bakker, 2018</xref>; <xref ref-type="bibr" rid="ref9034">Tadi&#x0107; et al., 2015</xref>), making resources more motivating when work is complex.</p>
<p>Through the lens of the JD-R model (<xref ref-type="bibr" rid="ref9003">Bakker and Demerouti, 2007</xref>, <xref ref-type="bibr" rid="ref8">2024</xref>), supervisors&#x2019; EIB can function as a critical job resource. High-EI supervisors contribute to supportive work environments where subordinates are better equipped to manage emotional demands, access social support, and exercise autonomy (<xref ref-type="bibr" rid="ref9002">Bakker, 2015</xref>; <xref ref-type="bibr" rid="ref9010">C&#x00F4;t&#x00E9;, 2007</xref>). Their ability to accurately interpret and respond to subordinate emotional cues (<xref ref-type="bibr" rid="ref18">C&#x00F4;t&#x00E9;, 2014</xref>, <xref ref-type="bibr" rid="ref19">2017</xref>) enables them to provide constructive feedback, resolve interpersonal challenges (<xref ref-type="bibr" rid="ref9026">Morrison, 2008</xref>), and guide subordinate growth and development (<xref ref-type="bibr" rid="ref9009">Clore et al., 1994</xref>; <xref ref-type="bibr" rid="ref9031">Schwarz, 2012</xref>). Moreover, supervisors who behave in emotionally intelligent ways foster engagement not only through strategic leadership behaviors, such as articulating vision and providing recognition, but also through interpersonal behaviors like team building and empowerment (<xref ref-type="bibr" rid="ref9016">Guillen and Florent-Treacy, 2011</xref>). By effectively managing emotional dynamics, they help subordinates cope with emotional challenges and promote positive affective states (<xref ref-type="bibr" rid="ref55">Momeni, 2009</xref>), which can reduce burnout and enhance engagement. Consistent with these mechanisms, subordinates who perceived their managers as high in EIB reported greater growth opportunities, more positive emotions, and higher creativity and innovation at work (<xref ref-type="bibr" rid="ref34">Ivcevic et al., 2021</xref>).</p>
<p>Conversely, low managerial EIB may function as a job demand. When supervisors lack emotional awareness and regulation skills, subordinates are more likely to experience emotional strain, reduced trust (<xref ref-type="bibr" rid="ref9014">Dunn and Schweitzer, 2005</xref>), and depleted personal resources as they navigate difficult supervisory relationships (<xref ref-type="bibr" rid="ref44">Levitats et al., 2019</xref>). Indeed, evidence suggests that subordinates&#x2019; own self-reported EI is positively associated with engagement only when they perceive their supervisors as demonstrating high EIB, highlighting the pivotal role of managerial EIB in shaping the emotional climate of their workplace (<xref ref-type="bibr" rid="ref44">Levitats et al., 2019</xref>). Together, these findings position supervisor EIB as a key contextual factor that can either buffer against or exacerbate job stressors, depending on its presence or absence.</p>
</sec>
<sec id="sec6">
<title>Hypotheses development</title>
<p>Beyond the theoretical role EI ability plays in subordinate well-being, we draw on SOA theory and the JD-R model (<xref ref-type="bibr" rid="ref7">Bakker and Demerouti, 2017</xref>, <xref ref-type="bibr" rid="ref8">2024</xref>), to propose that subordinate engagement and burnout vary across the various types of (in)congruence between supervisor and subordinate perceptions of supervisor EIB. The hypothesized differential effects of supervisor-subordinate congruence and incongruence in ratings of EI-relevant behavior are presented in <xref ref-type="fig" rid="fig1">Figures 1</xref>, <xref ref-type="fig" rid="fig2">2</xref> and discussed next.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Matrix of supervisor-subordinate (in)congruence of supervisor EI. H1: Manager-subordinate congruence on manager EIB has a negative relationship with subordinate work-related burnout (<italic>H1a</italic>) and a positive relationship with subordinate job engagement (<italic>H1b</italic>). H2: Manager-subordinate incongruence on manager EIB has a positive relationship with subordinate work-related burnout (<italic>H2a</italic>) and a negative relationship with subordinate job engagement (<italic>H2b</italic>), such that burnout will be lower and job engagement will be higher when managers underestimate their EI compared to when managers overestimate it.</p>
</caption>
<graphic xlink:href="fpsyg-17-1637168-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Grid depicting supervisor emotional intelligence behavior (EIB) congruence and incongruence. Rows show subordinate-rated EIB as low or high; columns show supervisor-rated EIB similarly. Labels indicate potential  overestimation, underestimation, or congruence of EIB, with arrows for hypotheses H1 and H2.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Conceptual model of supervisor&#x2013;subordinate perceptual (mis)alignment in supervisor emotionally intelligent behavior and subordinate wellbeing.</p>
</caption>
<graphic xlink:href="fpsyg-17-1637168-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Diagram illustrating the relationship between supervisor-subordinate perceptual (in)congruence on Supervisor EIB with subordinate engagement and burnout. Congruence includes high-high and low-low states, while incongruence covers underestimation and overestimation. Arrows denote hypotheses, indicating a positive relationship between congruence and engagement (H1a), a negative relationship between congruence and burnout (H1b), a positive relationship between incongruence and burnout (H1b), and a negative relationship between incongruence and engagement (H2b), with low and high  partner uncertainty indicating the nature of these relationships.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec7">
<title>Supervisor&#x2013;subordinate congruence on supervisor EIB</title>
<p>Congruence occurs when the supervisor&#x2019;s self-ratings align with subordinates&#x2019; ratings. In the context of EIB, supervisor-subordinate congruence indicates shared perceptions of the supervisor&#x2019;s behavior indicating the capacity to recognize, understand, and regulate one&#x2019;s own emotions and those of others. Agreement on high supervisor EIB (i.e., in-agreement good) represents the upper end of the congruence continuum, whereas agreement on low EIB (i.e., in-agreement poor) represents its lower end.</p>
<p>SOA theory shows that mutual perceptions of the supervisor are positively associated with desirable subordinate outcomes (<xref ref-type="bibr" rid="ref24">Fleenor et al., 2010</xref>). Applied here, supervisor-subordinate agreement on supervisor EIB should be related to subordinates&#x2019; well-being. We propose that the match itself is the critical mechanism, as perceptual congruence reflects reduced partner uncertainty as well as subordinates&#x2019; increased sense of predictability and efficacy in dealing with the environment. Subordinates&#x2019; enhanced perceived efficacy may serve as a job resource that fosters their engagement and reduces burnout, by allowing them to develop realistic expectations and coping strategies. This logic is consistent with the JD-R model (<xref ref-type="bibr" rid="ref7">Bakker and Demerouti, 2017</xref>, <xref ref-type="bibr" rid="ref8">2024</xref>), which identifies reduced uncertainty as a job resource and heightened uncertainty as a job demand (<xref ref-type="bibr" rid="ref7">Bakker and Demerouti, 2017</xref>, <xref ref-type="bibr" rid="ref8">2024</xref>; <xref ref-type="bibr" rid="ref9035">Usman et al., 2023</xref>), thereby enhancing engagement and reducing burnout. Likewise, these shared perceptions may initiate a resource gain spiral (<xref ref-type="bibr" rid="ref9018">Hobfoll et al., 2018</xref>; <xref ref-type="bibr" rid="ref74">Westman et al., 2004</xref>) where supervisor EIB generates additional resources and enhances well-being. The above reasoning leads us to hypothesize:</p>
<disp-quote>
<p><italic>H1:</italic> Supervisor-subordinate congruence on supervisor EIB has a negative relationship with subordinate work-related burnout <italic>(H1a)</italic> and a positive relationship with subordinate job engagement <italic>(H1b)</italic>.</p>
</disp-quote>
</sec>
<sec id="sec8">
<title>Supervisor&#x2013;subordinate incongruence on supervisor EIB</title>
<p>According to SOA theory (<xref ref-type="bibr" rid="ref5">Atwater and Yammarino, 1992</xref>, <xref ref-type="bibr" rid="ref6">1997</xref>) incongruence occurs when supervisors&#x2019; self-ratings diverge from subordinate ratings of the supervisor&#x2019;s behavior, manifesting in two forms: underestimation and overestimation. Subordinates experience distinct outcomes when working under managers who either overestimate or underestimate themselves, with overestimation creating more challenging work conditions (<xref ref-type="bibr" rid="ref72">Tsai et al., 2022</xref>). Research on supervisor-subordinate perceptual gaps shows that subordinate outcomes are particularly negative when team members identify a problem that their supervisor fails to recognize, compared to situations where supervisors perceive problems that teams do not (<xref ref-type="bibr" rid="ref9005">Bashshur et al., 2011</xref>; <xref ref-type="bibr" rid="ref28">Hasson et al., 2019</xref>).</p>
<p>Through the lens of the JD-R model (JD-R; <xref ref-type="bibr" rid="ref7">Bakker and Demerouti, 2017</xref>, <xref ref-type="bibr" rid="ref8">2024</xref>), subordinates working with EIB-overestimating supervisors are likely to face both increased demands and depleted resources. Overestimating supervisors are characterized by inflated self-perception and low awareness (<xref ref-type="bibr" rid="ref69">Sheldon et al., 2014</xref>). When supervisors overestimate their EIB, the gap between expected and delivered EI-related behavior creates repeated unmet expectations. Over time, this discrepancy may lead subordinates to experience partner uncertainty and to feel disillusioned or disappointed. Consequently, subordinates must expand additional emotional and cognitive resources managing interactions where emotion-relevant behavior is expected but not delivered. This combination of depleted emotional resources and heightened demands typically results in increased burnout and decreased work engagement (<xref ref-type="bibr" rid="ref7">Bakker and Demerouti, 2017</xref>, <xref ref-type="bibr" rid="ref8">2024</xref>), as subordinates exhaust personal resources attempting to fill the emotional gap left by their supervisors.</p>
<p>Subordinates working with underestimating supervisors are also likely to experience partner uncertainty, which is expected to be associated with higher burnout and lower engagement. However, their outcomes are likely to be more favorable than in the case of overestimating supervisors, because under-estimators tend to generate job resources that may buffer the negative effects of uncertainty. Underestimating supervisors are typically more self-critical and therefore more motivated to improve (<xref ref-type="bibr" rid="ref71">Tekleab et al., 2008</xref>), leading them to invest greater effort in exercising behaviors that utilize their emotional abilities. As a result, they may exercise EIB, such as active feedback-seeking, careful attention to emotional cues (<xref ref-type="bibr" rid="ref3">Ashkanasy and Humphrey, 2011</xref>), and effective emotion regulation (<xref ref-type="bibr" rid="ref45">Liu and Liu, 2013</xref>). These resource-enhancing behavior helps subordinates cope with work demands, reducing burnout (<xref ref-type="bibr" rid="ref16">Chen and Chen, 2018</xref>) and fostering positive emotional states that promote engagement (<xref ref-type="bibr" rid="ref60">Ouweneel et al., 2012</xref>). Thus, although partner uncertainty is present, subordinates of underestimating supervisors may experience better well-being outcomes than those whose supervisors overestimate their EIB. This reasoning leads to the following hypotheses:</p>
<disp-quote>
<p><italic>H2:</italic> Supervisor-subordinate incongruence on supervisor EIB has a negative relationship with subordinate work-related burnout <italic>(H2a)</italic> and a positive relationship with subordinate job engagement <italic>(H2b)</italic>, such that burnout will be lower and job engagement will be higher when supervisors underestimate their EI compared to when supervisors overestimate it.</p>
</disp-quote>
</sec>
</sec>
<sec sec-type="methods" id="sec9">
<title>Methods</title>
<sec id="sec10">
<title>Participants</title>
<p>Following ethical approval, the survey was administered to all staff, physicians, and residents (<italic>N</italic>&#x202F;=&#x202F;16,166; <italic>n</italic>&#x202F;=&#x202F;871 supervisors and <italic>n</italic>&#x202F;=&#x202F;15,295 subordinates) working in five hospitals in Ontario, Canada. Hospitals were selected as the research setting because they offer a uniquely valuable context for studying EIB alignment. These environments are emotionally intense, with staff routinely encountering life-and-death situations, patient suffering, and distressed families, as well as regulatory and funding challenges&#x2014;factors that can impact subordinate well-being (<xref ref-type="bibr" rid="ref27">Grandey et al., 2012</xref>). A total of 6,272 people (492 supervisors and 5,780 subordinates) provided informed consent and responded to the survey, with average response rate across hospitals of 38.80% (56.49% for supervisors and 37.79% for subordinates). Total response rates were similar across hospitals (between 36.13 and 52.35%). In the above counts, supervisors were considered those with at least one direct report, and subordinates had zero direct reports. Notably, the analyses controlled for middle managers who are included as both subordinates and supervisors. The supervisor and subordinate samples are mutually exclusive. The subordinate count including both non-managing employees and middle managers is 6,187. The distinction of subordinate /supervisor levels are noted in the demographics and controlled for in the analyses.</p>
<p>Careless responders were screened for using three instructed response items (i.e., &#x2018;select strongly agree for this item&#x2019;; <xref ref-type="bibr" rid="ref31">Huang et al., 2015</xref>). Following prior studies (e.g., <xref ref-type="bibr" rid="ref17">Cho and Allen, 2012</xref>; <xref ref-type="bibr" rid="ref70">Shockley et al., 2016</xref>), 45 supervisors (9.15%) and 896 subordinates (14.48%) who failed at least two of these checks were removed. Additionally, participants without matching supervisor-subordinate data (i.e., subordinates without a supervisor participating and supervisors without participating subordinates) were excluded as analyses required both ratings. Supervisors who did not complete the EI ability measure were excluded as well. The final sample included 202 supervisors and 2,055 subordinates.</p>
<p>For the final sample of supervisors, there were 129 females and 73 males. On average, supervisors were 48.18&#x202F;years old (<italic>SD</italic>&#x202F;=&#x202F;9.40) with 12.71&#x202F;years of job tenure (<italic>SD</italic>&#x202F;=&#x202F;10.44). One hundred eighty supervisors reported they were White/Caucasian, seven reported they were Asian, two reported they were African, and 13 reported they were Mixed/Other. On average, supervisors had 10.17 direct reports (<italic>SD</italic>&#x202F;=&#x202F;11.12, Median&#x202F;=&#x202F;6). One hundred seventy-five supervisors were in middle management positions (they were subordinates to another supervisor and had their own subordinates), whereas 27 were in senior management positions (they only had subordinates).</p>
<p>For the final sample of subordinates, there were 1,572 females and 483 males. On average, subordinates were 42.20&#x202F;years old (<italic>SD</italic>&#x202F;=&#x202F;11.32) with 11.40&#x202F;years of job tenure (<italic>SD</italic>&#x202F;=&#x202F;9.81). One thousand seven hundred one subordinates reported they were White/Caucasian, 110 reported they were Asian, 59 reported they were African, and 170 reported they were Mixed/Other (15 were missing). There were 1,854 participants who were solely subordinates and 201 who were middle managers.</p>
</sec>
<sec id="sec11">
<title>Measures</title>
<sec id="sec12">
<title>Self-rated and subordinate-rated supervisor EIB</title>
<p>Self- and subordinate-perceptions of supervisor EIB were measured with <xref ref-type="bibr" rid="ref34">Ivcevic et al.'s (2021)</xref> 11-item scale using a six-point scale (strongly disagree-strongly agree). This self-report measure corresponds to the four ability EI branches: (a) perceiving and expressing emotions (three items), (b) using emotions (four items), (c) understanding emotions (two items), and (d) regulating emotions (two items). Although the items assess all four EI branches, the scale is unidimensional. When completing the scale, supervisors and subordinates provided self-ratings, and subordinates rated their immediate supervisor. A self-report sample item is &#x2018;If someone is feeling upset about a decision, I will notice.&#x2019; For subordinate-report of supervisor EIB, &#x2018;I am&#x2019; was changed to &#x2018;My supervisor is.&#x2019; Cronbach&#x2019;s <italic>&#x03B1;</italic>: subordinate self-report&#x202F;=&#x202F;0.84, supervisor self-report&#x202F;=&#x202F;0.84, and subordinate-report of supervisor EIB&#x202F;=&#x202F;0.97.</p>
</sec>
<sec id="sec13">
<title>Subordinate work-related burnout</title>
<p>The seven items from the work-related component of the Copenhagen Burnout Index (<xref ref-type="bibr" rid="ref39">Kristensen et al., 2005</xref>) were used. Subordinates self-reported burnout using a six-point scale (strongly disagree-strongly agree). A sample item is &#x2018;I feel worn out at the end of the working day&#x2019; (Cronbach&#x2019;s &#x03B1;&#x202F;=&#x202F;0.91).</p>
</sec>
<sec id="sec14">
<title>Subordinate job engagement</title>
<p>Job engagement was measured with six of the 18 items from <xref ref-type="bibr" rid="ref61">Rich et al. (2010)</xref>. Best-practices for creating and using &#x2018;new&#x2019; scales (<xref ref-type="bibr" rid="ref29">Heggestad et al., 2019</xref>) were followed. The two items with the strongest factor loadings from each of the three engagement subscales (physical, emotional, cognitive) were chosen. A sample item is &#x2018;I devote a lot of energy to my job&#x2019; (Cronbach&#x2019;s &#x03B1;&#x202F;=&#x202F;0.74). To determine if the shorter scale was a valid measure reflective of the original scale, both the short and full forms were administered via the CloudResearch research panel to a separate sample of full-time, working adults in the U.S. After removing careless responders, there were 313 people (Age: <italic>M</italic>&#x202F;=&#x202F;39.51, SD&#x202F;=&#x202F;10.66; Gender identity: 191 Males, 119 Females, 1 Non-binary/third gender, and 2 preferred not to answer; Job Tenure: <italic>M</italic>&#x202F;=&#x202F;8.35, SD&#x202F;=&#x202F;7.10; Education: most participants [46%] had a four-year post-secondary degree). The relationship between the short-form (&#x03B1;&#x202F;=&#x202F;0.83) and full-form (&#x03B1;&#x202F;=&#x202F;0.95) was 0.88.</p>
</sec>
<sec id="sec15">
<title>Control variables</title>
<p>Multiple variables were controlled to rule out alternative explanations. A measure of EI ability was included to help determine whether supervisor-subordinate (in)congruence accounts for subordinate well-being, beyond the effect of supervisor EI ability. Supervisors completed the MSCEIT v2.0 developed by <xref ref-type="bibr" rid="ref49">Mayer et al. (2003)</xref>. It is a performance measure that assesses individuals&#x2019; proficiency in solving emotion-laden problems across all four EI branches. The test contains 141 items and answers are scored based on emotion science expert judgments. To ensure there was a match in breadth between ability and self&#x2212;/other-reported measures, total EI ability scores were used. The MSCEIT User&#x2019;s Manual reports split-half reliability coefficient of 0.91 for the total score (<xref ref-type="bibr" rid="ref48">Mayer et al., 2002</xref>).</p>
<p>Additional controls were included: First, four dummy variables were created for the five hospitals, with the largest hospital serving as the referent. Supervisor and subordinate demographics (gender identity, age, tenure) were controlled for, as they correlate with EI-relevant measures (<xref ref-type="bibr" rid="ref9007">Cabello et al., 2016</xref>) and the outcomes (<xref ref-type="bibr" rid="ref50">McKee et al., 2018</xref>). Third, supervisor and subordinate type (senior managers/middle managers for supervisors; employees/middle managers for subordinates) were controlled for. Finally, subordinate self-report EIB was controlled for, as self-reported EI-relevant variables relate to engagement (<xref ref-type="bibr" rid="ref26">George et al., 2022</xref>) and burnout (see systematic review by <xref ref-type="bibr" rid="ref51">M&#x00E9;rida-L&#x00F3;pez and Extremera, 2017</xref>). In line with <xref ref-type="bibr" rid="ref11">Bernerth and Aguinis's (2016)</xref> recommendations, all analyses were additionally conducted without control variables. The primary regression coefficients of interest remained statistically significant even when control variables were excluded, further supporting the study&#x2019;s hypotheses.</p>
</sec>
</sec>
</sec>
<sec id="sec16">
<title>Data analysis</title>
<p>Because subordinates (Level 1) were nested under supervisors (Level 2), data was analyzed using multilevel modeling (<xref ref-type="bibr" rid="ref12">Bliese and Hanges, 2004</xref>). All subordinate-reported variables are Level 1 and all supervisor-reported variables (e.g., demographics, self-reported EIB, and EI ability) are Level 2. Subordinate level variables should be clustered by supervisor because supervisors created a shared emotional and social context that influences their subordinates&#x2019; experience, thus, subordinates under the same supervisor are not independent of one another. Analytically, using traditional ordinary least squares (OLS) regression would violate the assumptions of independency and result in biased results. To justify using multilevel modeling, it was determined which level the majority of variance was at, using ICC(1) values (<xref ref-type="bibr" rid="ref40">LeBreton and Senter, 2008</xref>). Most of the variability was at the subordinate-level: subordinate self-reported EIB&#x202F;=&#x202F;96.50%, subordinate-reported supervisor EIB&#x202F;=&#x202F;75.01%, subordinate job engagement&#x202F;=&#x202F;94.64%, and subordinate burnout&#x202F;=&#x202F;84.96. Thus, it was concluded that multilevel analyses are appropriate. In contrast, aggregating subordinate scores to Level 2 would obscure meaningful within-group variability in subordinate variables such as engagement and burnout, which are inherently individual-level experiences. Moreover, aggregation is misfitting as the central focus of this study is the congruence between each subordinate and their specific supervisor, not the congruence between an aggregated group average and the supervisor score. To conclude, multilevel modeling allows us to preserve the within-group information while analyzing cross-level effects of supervisor characteristics.</p>
<p>Prior to creating the polynomial terms for the analyses, supervisor self-report and subordinate-report of supervisor EIB were centered. Because we were specifically interested in interpreting the lines of congruence and incongruence of the response surface, it was important to ensure that the polynomial terms are centered using the same value (<xref ref-type="bibr" rid="ref32">Humberg et al., 2020</xref>; <xref ref-type="bibr" rid="ref67">Sch&#x00F6;nbrodt, 2016</xref>). This ensures that discrepancies from the central point in the response surface are comparable for both terms. Centering was done using the mean of the combined supervisor EIB variables. Grand-mean centering was also used for supervisor EI ability.</p>
<p>Hypotheses 1 and 2 were tested using multilevel polynomial regression (<xref ref-type="bibr" rid="ref57">Nestler et al., 2019</xref>) and response survey analyses using the RSA R package v0.10.4 (<xref ref-type="bibr" rid="ref68">Sch&#x00F6;nbrodt and Humberg, 2021</xref>) and multilevel RSA functions in R developed by <xref ref-type="bibr" rid="ref57">Nestler et al. (2019)</xref>. Polynomial regression allows researchers to test the (in)congruence, or (dis)agreement, between two independent variables on a dependent variable. It is an alternative to difference score approaches, which are often unreliable (<xref ref-type="bibr" rid="ref22">Edwards and Parry, 1993</xref>). Multilevel polynomial regression is called for when the data spans multiple levels of analysis. After conducting these regression analyses, the regression coefficients are used to test hypotheses related to (in)congruence in scores and conduct response surface analyses in which a three-dimensional surface of the results is created (<xref ref-type="bibr" rid="ref72">Tsai et al., 2022</xref>). These make it possible to evaluate the slope and curvature for both the line of congruence (i.e., agreement among supervisors and subordinates regarding supervisor EIB) and line of incongruence (i.e., disagreement among supervisors and subordinates). For polynomial regression, there are various considerations for test of statistical significance (<xref ref-type="bibr" rid="ref22">Edwards and Parry, 1993</xref>). A thorough description of these considerations and the procedures used to align with them is provided in <xref ref-type="supplementary-material" rid="SM1">Supplementary Appendix 1</xref>.</p>
<p>To examine whether the results depend on supervisor EI ability, multilevel moderated polynomial regression was conducted (<xref ref-type="bibr" rid="ref57">Nestler et al., 2019</xref>). This final model (Model 3) included all control variables, the five main polynomial terms, the moderator (supervisor EI ability), and the five moderated polynomial terms (the five main polynomial terms moderated by supervisor EI ability). Incremental significance for the entire block of moderated terms was examined &#x2013; based on changes in model deviance scores from the model with control variables and polynomial terms. Additionally, <italic>R</italic><sup>2</sup> values were considered for tests of practical significance of each model.</p>
</sec>
<sec sec-type="results" id="sec17">
<title>Results</title>
<p><xref ref-type="table" rid="tab1">Table 1</xref> includes the means, standard deviations, and zero-order correlations of all variables in the study. The correlations for the level 2 variables are presented separately from level 1 variables. Notably, the relationship between supervisor self-report EIB, supervisor subordinate-report EIB, and supervisor EI ability were similar to those reported in prior research (<xref ref-type="bibr" rid="ref23">Elfenbein et al., 2015</xref>). Of particular interest, supervisor self-reported EIB was positively, yet modestly, related to subordinate rating (<italic>r</italic>&#x202F;= 0.09, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) and positively associated to supervisor EI ability (<italic>r</italic> = 0.24, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Correlations among study measures.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">
<italic>M</italic>
</th>
<th align="center" valign="top">
<italic>SD</italic>
</th>
<th align="center" valign="top">1</th>
<th align="center" valign="top">2</th>
<th align="center" valign="top">3</th>
<th align="center" valign="top">4</th>
<th align="center" valign="top">5</th>
<th align="center" valign="top">6</th>
<th align="center" valign="top">7</th>
<th align="center" valign="top">8</th>
<th align="center" valign="top">9</th>
<th align="center" valign="top">10</th>
<th align="center" valign="top">11</th>
<th align="center" valign="top">12</th>
<th align="center" valign="top">13</th>
<th align="center" valign="top">14</th>
<th align="center" valign="top">15</th>
<th align="center" valign="top">16</th>
<th align="center" valign="top">17</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="20">Supervisor level (<italic>n</italic>&#x202F;=&#x202F;202)</td>
</tr>
<tr>
<td align="left" valign="top">1. Hospital (Dummy 1)</td>
<td align="center" valign="top">0.07</td>
<td align="center" valign="top">0.26</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">2. Hospital (Dummy 2)</td>
<td align="center" valign="top">0.05</td>
<td align="center" valign="top">0.23</td>
<td align="center" valign="top">&#x2212;0.07</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">3. Hospital (Dummy 3)</td>
<td align="center" valign="top">0.07</td>
<td align="center" valign="top">0.26</td>
<td align="center" valign="top">&#x2212;0.08</td>
<td align="center" valign="top">&#x2212;0.07</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">4. Hospital (Dummy 4)</td>
<td align="center" valign="top">0.20</td>
<td align="center" valign="top">0.40</td>
<td align="center" valign="top">&#x2212;0.14&#x002A;</td>
<td align="center" valign="top">&#x2212;0.12</td>
<td align="center" valign="top">&#x2212;0.14&#x002A;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">5. Supervisor Sex</td>
<td align="center" valign="top">1.36</td>
<td align="center" valign="top">0.48</td>
<td align="center" valign="top">&#x2212;0.02</td>
<td align="center" valign="top">&#x2212;0.09</td>
<td align="center" valign="top">&#x2212;0.06</td>
<td align="center" valign="top">0.07</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">6. Supervisor Age</td>
<td align="center" valign="top">48.18</td>
<td align="center" valign="top">9.40</td>
<td align="center" valign="top">0.01</td>
<td align="center" valign="top">0.12</td>
<td align="center" valign="top">0.02</td>
<td align="center" valign="top">0.05</td>
<td align="center" valign="top">&#x2212;0.07</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">7. Supervisor Tenure</td>
<td align="center" valign="top">12.71</td>
<td align="center" valign="top">10.44</td>
<td align="center" valign="top">&#x2212;0.21&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x2212;0.05</td>
<td align="center" valign="top">&#x2212;0.09</td>
<td align="center" valign="top">&#x2212;0.08</td>
<td align="center" valign="top">&#x2212;0.18&#x002A;</td>
<td align="center" valign="top">0.25&#x002A;&#x002A;&#x002A;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">8. Supervisor Type</td>
<td align="center" valign="top">1.13</td>
<td align="center" valign="top">0.34</td>
<td align="center" valign="top">&#x2212;0.06</td>
<td align="center" valign="top">0.61&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">0.72&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x2212;0.20&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x2212;0.11</td>
<td align="center" valign="top">0.10</td>
<td align="center" valign="top">&#x2212;0.12</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">9. Supervisor S. R. EI</td>
<td align="center" valign="top">5.03</td>
<td align="center" valign="top">0.43</td>
<td align="center" valign="top">&#x2212;0.05</td>
<td align="center" valign="top">&#x2212;0.05</td>
<td align="center" valign="top">0.03</td>
<td align="center" valign="top">&#x2212;0.11</td>
<td align="center" valign="top">&#x2212;0.04</td>
<td align="center" valign="top">0.06</td>
<td align="center" valign="top">0.16&#x002A;</td>
<td align="center" valign="top">0.02</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">10. Supervisor EI Ability</td>
<td align="center" valign="top">100.77</td>
<td align="center" valign="top">14.83</td>
<td align="center" valign="top">&#x2212;0.04</td>
<td align="center" valign="top">&#x2212;0.10</td>
<td align="center" valign="top">0.03</td>
<td align="center" valign="top">0.05</td>
<td align="center" valign="top">&#x2212;0.12</td>
<td align="center" valign="top">&#x2212;0.01</td>
<td align="center" valign="top">0.00</td>
<td align="center" valign="top">&#x2212;0.01</td>
<td align="center" valign="top">0.20&#x002A;&#x002A;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="20">Subordinate level (<italic>n</italic>&#x202F;=&#x202F;2,055)</td>
</tr>
<tr>
<td align="left" valign="top">1. Hospital (Dummy 1)</td>
<td align="center" valign="top">0.07</td>
<td align="center" valign="top">0.26</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">2. Hospital (Dummy 2)</td>
<td align="center" valign="top">0.02</td>
<td align="center" valign="top">0.14</td>
<td align="center" valign="top">&#x2212;0.04</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">3. Hospital (Dummy 3)</td>
<td align="left" valign="top">0.04</td>
<td align="left" valign="top">0.20</td>
<td align="left" valign="top">&#x2212;0.06&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.03</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">4. Hospital (Dummy 4)</td>
<td align="left" valign="top">0.13</td>
<td align="left" valign="top">0.33</td>
<td align="left" valign="top">&#x2212;0.11&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.05&#x002A;</td>
<td align="left" valign="top">&#x2212;0.08&#x002A;&#x002A;&#x002A;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">5. Supervisor Sex</td>
<td align="left" valign="top">1.31</td>
<td align="left" valign="top">0.46</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">&#x2212;0.06&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.07&#x002A;&#x002A;</td>
<td align="left" valign="top">0.17&#x002A;&#x002A;&#x002A;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">6. Supervisor Age</td>
<td align="left" valign="top">47.25</td>
<td align="left" valign="top">9.25</td>
<td align="left" valign="top">&#x2212;0.05&#x002A;</td>
<td align="left" valign="top">0.14&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.01</td>
<td align="left" valign="top">0.06&#x002A;</td>
<td align="left" valign="top">&#x2212;0.19&#x002A;&#x002A;&#x002A;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">7. Supervisor Tenure</td>
<td align="left" valign="top">15.78</td>
<td align="left" valign="top">11.17</td>
<td align="left" valign="top">&#x2212;0.24&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.01</td>
<td align="left" valign="top">&#x2212;0.07&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.13&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.24&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">0.46&#x002A;&#x002A;&#x002A;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">8. Supervisor Type</td>
<td align="left" valign="top">1.06</td>
<td align="left" valign="top">0.24</td>
<td align="left" valign="top">&#x2212;0.06&#x002A;&#x002A;</td>
<td align="left" valign="top">0.54&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">0.81&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.10&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.10&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">0.07&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.07&#x002A;&#x002A;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">9. Subordinate Sex</td>
<td align="left" valign="top">1.24</td>
<td align="left" valign="top">0.42</td>
<td align="left" valign="top">&#x2212;0.04</td>
<td align="left" valign="top">&#x2212;0.03</td>
<td align="left" valign="top">&#x2212;0.06&#x002A;&#x002A;</td>
<td align="left" valign="top">0.08&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">0.27&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.01</td>
<td align="left" valign="top">&#x2212;0.01</td>
<td align="left" valign="top">&#x2212;0.07&#x002A;&#x002A;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">10. Subordinate Age</td>
<td align="left" valign="top">42.20</td>
<td align="left" valign="top">11.32</td>
<td align="left" valign="top">&#x2212;0.02</td>
<td align="left" valign="top">0.04</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">0.07&#x002A;&#x002A;</td>
<td align="left" valign="top">0.05&#x002A;</td>
<td align="left" valign="top">0.09&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.01</td>
<td align="left" valign="top">0.05&#x002A;</td>
<td align="left" valign="top">0.08&#x002A;&#x002A;&#x002A;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">11. Subordinate Tenure</td>
<td align="left" valign="top">11.40</td>
<td align="left" valign="top">9.81</td>
<td align="left" valign="top">&#x2212;0.13&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.03</td>
<td align="left" valign="top">&#x2212;0.03</td>
<td align="left" valign="top">&#x2212;0.06&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.06&#x002A;&#x002A;</td>
<td align="left" valign="top">0.05&#x002A;</td>
<td align="left" valign="top">0.11&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.05&#x002A;</td>
<td align="left" valign="top">&#x2212;0.02</td>
<td align="left" valign="top">0.61&#x002A;&#x002A;&#x002A;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">12. Subordinate Type</td>
<td align="left" valign="top">1.10</td>
<td align="left" valign="top">0.30</td>
<td align="left" valign="top">0.00</td>
<td align="left" valign="top">&#x2212;0.03</td>
<td align="left" valign="top">&#x2212;0.07&#x002A;&#x002A;</td>
<td align="left" valign="top">0.10&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">0.09&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">0.10&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.06&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.06&#x002A;</td>
<td align="left" valign="top">0.10&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">0.14&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">0.05&#x002A;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">13. Subordinate S. R. EIB</td>
<td align="left" valign="top">4.79</td>
<td align="left" valign="top">0.53</td>
<td align="left" valign="top">0.03</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#x2212;0.02</td>
<td align="left" valign="top">0.05&#x002A;</td>
<td align="left" valign="top">&#x2212;0.01</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">&#x2212;0.03</td>
<td align="left" valign="top">&#x2212;0.01</td>
<td align="left" valign="top">&#x2212;0.06&#x002A;&#x002A;</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">&#x2212;0.01</td>
<td align="left" valign="top">0.13&#x002A;&#x002A;&#x002A;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">14. Supervisor F. R. EIB</td>
<td align="left" valign="top">4.15</td>
<td align="left" valign="top">1.23</td>
<td align="left" valign="top">0.00</td>
<td align="left" valign="top">0.03</td>
<td align="left" valign="top">&#x2212;0.05&#x002A;</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">0.04</td>
<td align="left" valign="top">&#x2212;0.01</td>
<td align="left" valign="top">&#x2212;0.07&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.02</td>
<td align="left" valign="top">0.03</td>
<td align="left" valign="top">0.04</td>
<td align="left" valign="top">&#x2212;0.06&#x002A;&#x002A;</td>
<td align="left" valign="top">0.15&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">0.15&#x002A;&#x002A;&#x002A;</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">15. Supervisor S. R. EIB</td>
<td align="left" valign="top">5.03</td>
<td align="left" valign="top">0.41</td>
<td align="left" valign="top">&#x2212;0.05&#x002A;</td>
<td align="left" valign="top">&#x2212;0.13&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.01</td>
<td align="left" valign="top">&#x2212;0.11&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.04</td>
<td align="left" valign="top">0.12&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">0.29&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.07&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">0.00</td>
<td align="left" valign="top">0.00</td>
<td align="left" valign="top">0.11&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">0.04</td>
<td align="left" valign="top">0.09&#x002A;&#x002A;&#x002A;</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">16. Supervisor EI Ability</td>
<td align="left" valign="top">101.50</td>
<td align="left" valign="top">15.57</td>
<td align="left" valign="top">&#x2212;0.11&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.15&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.04</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">&#x2212;0.12&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">0.10&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">0.18&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.11&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.08&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.03</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">0.00</td>
<td align="left" valign="top">&#x2212;0.01</td>
<td align="left" valign="top">&#x2212;0.10&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">0.24&#x002A;&#x002A;&#x002A;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">17. Subordinate Job Engagement</td>
<td align="left" valign="top">4.93</td>
<td align="left" valign="top">0.63</td>
<td align="left" valign="top">0.08&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.01</td>
<td align="left" valign="top">&#x2212;0.01</td>
<td align="left" valign="top">&#x2212;0.04</td>
<td align="left" valign="top">&#x2212;0.03</td>
<td align="left" valign="top">0.10&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.02</td>
<td align="left" valign="top">&#x2212;0.01</td>
<td align="left" valign="top">&#x2212;0.04</td>
<td align="left" valign="top">0.08&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.02</td>
<td align="left" valign="top">0.14&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">0.36&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">0.19&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">0.03</td>
<td align="left" valign="top">0.05&#x002A;</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">18. Subordinate Burnout</td>
<td align="left" valign="top">3.48</td>
<td align="left" valign="top">1.13</td>
<td align="left" valign="top">0.01</td>
<td align="left" valign="top">&#x2212;0.06&#x002A;&#x002A;</td>
<td align="left" valign="top">0.00</td>
<td align="left" valign="top">&#x2212;0.01</td>
<td align="left" valign="top">&#x2212;0.02</td>
<td align="left" valign="top">&#x2212;0.10&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.06&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.04</td>
<td align="left" valign="top">&#x2212;0.03</td>
<td align="left" valign="top">&#x2212;0.05&#x002A;</td>
<td align="left" valign="top">0.09&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.03</td>
<td align="left" valign="top">&#x2212;0.06&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.35&#x002A;&#x002A;&#x002A;</td>
<td align="left" valign="top">&#x2212;0.01</td>
<td align="left" valign="top">0.06&#x002A;</td>
<td align="left" valign="top">&#x2212;0.17&#x002A;&#x002A;&#x002A;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Supervisor/Subordinate Gender: 1&#x202F;=&#x202F;Women, 2&#x202F;=&#x202F;Men. Supervisor Type: 1&#x202F;=&#x202F;Middle Manager (i.e., both a subordinate and supervisor), 2&#x202F;=&#x202F;Senior Manager; Subordinate Type: 1&#x202F;=&#x202F;Subordinate Only, 2&#x202F;=&#x202F;Middle Manager. S.R.&#x202F;=&#x202F;Self-Reported; F. R.&#x202F;=&#x202F;Follower (subordinate)-Reported; EI&#x202F;=&#x202F;Emotional Intelligence; EIB&#x202F;=&#x202F;emotionally intelligent behavior. &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001.</p>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="tab2">Table 2</xref> reports the results for cross-level polynomial regression analyses for subordinate burnout and job engagement. For both burnout and job engagement the polynomial models (Model 2) fit significantly better than did models with only control variables, and the conditional <italic>R</italic><sup>2</sup> values increased across these models. Furthermore, the polynomial terms were statistically significant, justifying further response surface analyses.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Multilevel polynomial regression of supervisor self- and subordinate-reported EIB on subordinate engagement and burnout.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="3"/>
<th align="center" valign="top" colspan="6">Subordinate Job Engagement</th>
<th align="center" valign="top" colspan="6">Subordinate Work-Related Burnout</th>
</tr>
<tr>
<th align="center" valign="top" colspan="2">Model 1</th>
<th align="center" valign="top" colspan="2">Model 2</th>
<th align="center" valign="top" colspan="2">Model 3</th>
<th align="center" valign="top" colspan="2">Model 1</th>
<th align="center" valign="top" colspan="2">Model 2</th>
<th align="center" valign="top" colspan="2">Model 3</th>
</tr>
<tr>
<th align="center" valign="top">
<italic>b</italic>
</th>
<th align="center" valign="top">
<italic>SE</italic>
</th>
<th align="center" valign="top">
<italic>b</italic>
</th>
<th align="center" valign="top">
<italic>SE</italic>
</th>
<th align="center" valign="top">
<italic>b</italic>
</th>
<th align="center" valign="top">
<italic>SE</italic>
</th>
<th align="center" valign="top">
<italic>b</italic>
</th>
<th align="center" valign="top">
<italic>SE</italic>
</th>
<th align="center" valign="top">
<italic>b</italic>
</th>
<th align="center" valign="top">
<italic>SE</italic>
</th>
<th align="center" valign="top">
<italic>b</italic>
</th>
<th align="center" valign="top">
<italic>SE</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Intercept</td>
<td align="char" valign="bottom" char=".">2.557&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.443</td>
<td align="char" valign="bottom" char=".">2.813&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.444</td>
<td align="char" valign="bottom" char=".">2.846&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.444</td>
<td align="char" valign="bottom" char=".">5.706&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.908</td>
<td align="char" valign="bottom" char=".">4.965&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.863</td>
<td align="char" valign="bottom" char=".">5.400&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.866</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">Controls</td>
</tr>
<tr>
<td align="left" valign="top">Hospital dummy 1</td>
<td align="char" valign="bottom" char=".">0.086</td>
<td align="char" valign="bottom" char=".">0.060</td>
<td align="char" valign="bottom" char=".">0.112<sup>&#x2020;</sup></td>
<td align="char" valign="bottom" char=".">0.062</td>
<td align="char" valign="bottom" char=".">0.131&#x002A;</td>
<td align="char" valign="bottom" char=".">0.059</td>
<td align="char" valign="bottom" char=".">0.197</td>
<td align="char" valign="bottom" char=".">0.159</td>
<td align="char" valign="bottom" char=".">0.120</td>
<td align="char" valign="bottom" char=".">0.150</td>
<td align="char" valign="bottom" char=".">0.133</td>
<td align="char" valign="bottom" char=".">0.146</td>
</tr>
<tr>
<td align="left" valign="top">Hospital dummy 2</td>
<td align="char" valign="bottom" char=".">0.047</td>
<td align="char" valign="bottom" char=".">0.428</td>
<td align="char" valign="bottom" char=".">0.032</td>
<td align="char" valign="bottom" char=".">0.429</td>
<td align="char" valign="bottom" char=".">0.148</td>
<td align="char" valign="bottom" char=".">0.430</td>
<td align="char" valign="bottom" char=".">0.980</td>
<td align="char" valign="bottom" char=".">0.875</td>
<td align="char" valign="bottom" char=".">1.023</td>
<td align="char" valign="bottom" char=".">0.831</td>
<td align="char" valign="bottom" char=".">1.323</td>
<td align="char" valign="bottom" char=".">0.838</td>
</tr>
<tr>
<td align="left" valign="top">Hospital dummy 3</td>
<td align="char" valign="bottom" char=".">0.166</td>
<td align="char" valign="bottom" char=".">0.423</td>
<td align="char" valign="bottom" char=".">0.190</td>
<td align="char" valign="bottom" char=".">0.422</td>
<td align="char" valign="bottom" char=".">0.253</td>
<td align="char" valign="bottom" char=".">0.423</td>
<td align="char" valign="bottom" char=".">1.275</td>
<td align="char" valign="bottom" char=".">0.862</td>
<td align="char" valign="bottom" char=".">1.110</td>
<td align="char" valign="bottom" char=".">0.818</td>
<td align="char" valign="bottom" char=".">1.510<sup>&#x2020;</sup></td>
<td align="char" valign="bottom" char=".">0.823</td>
</tr>
<tr>
<td align="left" valign="top">Hospital dummy 4</td>
<td align="char" valign="bottom" char=".">&#x2212;0.160&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.044</td>
<td align="char" valign="bottom" char=".">&#x2212;0.147&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.045</td>
<td align="char" valign="bottom" char=".">&#x2212;0.161&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.044</td>
<td align="char" valign="bottom" char=".">0.104</td>
<td align="char" valign="bottom" char=".">0.110</td>
<td align="char" valign="bottom" char=".">0.060</td>
<td align="char" valign="bottom" char=".">0.104</td>
<td align="char" valign="bottom" char=".">0.071</td>
<td align="char" valign="bottom" char=".">0.101</td>
</tr>
<tr>
<td align="left" valign="top">Supervisor sex</td>
<td align="char" valign="bottom" char=".">&#x2212;0.027</td>
<td align="char" valign="bottom" char=".">0.034</td>
<td align="char" valign="bottom" char=".">&#x2212;0.027</td>
<td align="char" valign="bottom" char=".">0.035</td>
<td align="char" valign="bottom" char=".">&#x2212;0.015</td>
<td align="char" valign="bottom" char=".">0.034</td>
<td align="char" valign="bottom" char=".">&#x2212;0.068</td>
<td align="char" valign="bottom" char=".">0.089</td>
<td align="char" valign="bottom" char=".">&#x2212;0.062</td>
<td align="char" valign="bottom" char=".">0.084</td>
<td align="char" valign="bottom" char=".">&#x2212;0.054</td>
<td align="char" valign="bottom" char=".">0.082</td>
</tr>
<tr>
<td align="left" valign="top">Supervisor age (years)</td>
<td align="char" valign="bottom" char=".">0.008&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.002</td>
<td align="char" valign="bottom" char=".">0.007&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.002</td>
<td align="char" valign="bottom" char=".">0.008&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.002</td>
<td align="char" valign="bottom" char=".">&#x2212;0.006</td>
<td align="char" valign="bottom" char=".">0.005</td>
<td align="char" valign="bottom" char=".">&#x2212;0.007</td>
<td align="char" valign="bottom" char=".">0.004</td>
<td align="char" valign="bottom" char=".">&#x2212;0.009&#x002A;</td>
<td align="char" valign="bottom" char=".">0.004</td>
</tr>
<tr>
<td align="left" valign="top">Supervisor tenure (years)</td>
<td align="char" valign="bottom" char=".">&#x2212;0.004&#x002A;</td>
<td align="char" valign="bottom" char=".">0.002</td>
<td align="char" valign="bottom" char=".">&#x2212;0.004&#x002A;</td>
<td align="char" valign="bottom" char=".">0.002</td>
<td align="char" valign="bottom" char=".">&#x2212;0.004&#x002A;</td>
<td align="char" valign="bottom" char=".">0.002</td>
<td align="char" valign="bottom" char=".">&#x2212;0.003</td>
<td align="char" valign="bottom" char=".">0.004</td>
<td align="char" valign="bottom" char=".">&#x2212;0.003</td>
<td align="char" valign="bottom" char=".">0.004</td>
<td align="char" valign="bottom" char=".">&#x2212;0.003</td>
<td align="char" valign="bottom" char=".">0.004</td>
</tr>
<tr>
<td align="left" valign="top">Supervisor type</td>
<td align="char" valign="bottom" char=".">&#x2212;0.220</td>
<td align="char" valign="bottom" char=".">0.417</td>
<td align="char" valign="bottom" char=".">&#x2212;0.228</td>
<td align="char" valign="bottom" char=".">0.416</td>
<td align="char" valign="bottom" char=".">&#x2212;0.287</td>
<td align="char" valign="bottom" char=".">0.417</td>
<td align="char" valign="bottom" char=".">&#x2212;1.228</td>
<td align="char" valign="bottom" char=".">0.844</td>
<td align="char" valign="bottom" char=".">&#x2212;1.197</td>
<td align="char" valign="bottom" char=".">0.801</td>
<td align="char" valign="bottom" char=".">&#x2212;1.563<sup>&#x2020;</sup></td>
<td align="char" valign="bottom" char=".">0.806</td>
</tr>
<tr>
<td align="left" valign="top">Subordinate gender</td>
<td align="char" valign="bottom" char=".">&#x2212;0.046</td>
<td align="char" valign="bottom" char=".">0.032</td>
<td align="char" valign="bottom" char=".">&#x2212;0.049</td>
<td align="char" valign="bottom" char=".">0.032</td>
<td align="char" valign="bottom" char=".">&#x2212;0.048</td>
<td align="char" valign="bottom" char=".">0.032</td>
<td align="char" valign="bottom" char=".">0.005</td>
<td align="char" valign="bottom" char=".">0.062</td>
<td align="char" valign="bottom" char=".">0.002</td>
<td align="char" valign="bottom" char=".">0.059</td>
<td align="char" valign="bottom" char=".">0.021</td>
<td align="char" valign="bottom" char=".">0.059</td>
</tr>
<tr>
<td align="left" valign="top">Subordinate age (years)</td>
<td align="char" valign="bottom" char=".">0.007&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.001</td>
<td align="char" valign="bottom" char=".">0.007&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.001</td>
<td align="char" valign="bottom" char=".">0.007&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.001</td>
<td align="char" valign="bottom" char=".">&#x2212;0.013&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.003</td>
<td align="char" valign="bottom" char=".">&#x2212;0.011&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.003</td>
<td align="char" valign="bottom" char=".">&#x2212;0.011&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.003</td>
</tr>
<tr>
<td align="left" valign="top">Subordinate tenure (years)</td>
<td align="char" valign="bottom" char=".">&#x2212;0.007&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.002</td>
<td align="char" valign="bottom" char=".">&#x2212;0.006&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.002</td>
<td align="char" valign="bottom" char=".">&#x2212;0.006&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.002</td>
<td align="char" valign="bottom" char=".">0.021&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.003</td>
<td align="char" valign="bottom" char=".">0.016&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.003</td>
<td align="char" valign="bottom" char=".">0.016&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.003</td>
</tr>
<tr>
<td align="left" valign="top">Subordinate type</td>
<td align="char" valign="bottom" char=".">0.162&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.046</td>
<td align="char" valign="bottom" char=".">0.122&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.047</td>
<td align="char" valign="bottom" char=".">0.132&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.046</td>
<td align="char" valign="bottom" char=".">0.125</td>
<td align="char" valign="bottom" char=".">0.096</td>
<td align="char" valign="bottom" char=".">0.268&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.091</td>
<td align="char" valign="bottom" char=".">0.249&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.091</td>
</tr>
<tr>
<td align="left" valign="top">Subordinate S.R. EI</td>
<td align="char" valign="bottom" char=".">0.416&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.024</td>
<td align="char" valign="bottom" char=".">0.377&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.025</td>
<td align="char" valign="bottom" char=".">0.378&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.025</td>
<td align="char" valign="bottom" char=".">&#x2212;0.105&#x002A;</td>
<td align="char" valign="bottom" char=".">0.045</td>
<td align="char" valign="bottom" char=".">&#x2212;0.012</td>
<td align="char" valign="bottom" char=".">0.044</td>
<td align="char" valign="bottom" char=".">&#x2212;0.016</td>
<td align="char" valign="bottom" char=".">0.044</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">Independent variables</td>
</tr>
<tr>
<td align="left" valign="top">Supervisor F.R. EIB (x)</td>
<td/>
<td/>
<td align="char" valign="bottom" char=".">0.121&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.022</td>
<td align="char" valign="bottom" char=".">0.116&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.023</td>
<td/>
<td/>
<td align="char" valign="bottom" char=".">&#x2212;0.324&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.039</td>
<td align="char" valign="bottom" char=".">&#x2212;0.302&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.041</td>
</tr>
<tr>
<td align="left" valign="top">Supervisor S. R. EIB (y)</td>
<td/>
<td/>
<td align="char" valign="bottom" char=".">&#x2212;0.049</td>
<td align="char" valign="bottom" char=".">0.057</td>
<td align="char" valign="bottom" char=".">&#x2212;0.069</td>
<td align="char" valign="bottom" char=".">0.058</td>
<td/>
<td/>
<td align="char" valign="bottom" char=".">0.099</td>
<td align="char" valign="bottom" char=".">0.132</td>
<td align="char" valign="bottom" char=".">0.119</td>
<td align="char" valign="bottom" char=".">0.134</td>
</tr>
<tr>
<td align="left" valign="top">x<sup>2</sup></td>
<td/>
<td/>
<td align="char" valign="bottom" char=".">0.025&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.008</td>
<td align="char" valign="bottom" char=".">0.026&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="bottom" char=".">0.008</td>
<td/>
<td/>
<td align="char" valign="bottom" char=".">&#x2212;0.015</td>
<td align="char" valign="bottom" char=".">0.014</td>
<td align="char" valign="bottom" char=".">&#x2212;0.015</td>
<td align="char" valign="bottom" char=".">0.014</td>
</tr>
<tr>
<td align="left" valign="top">x&#x202F;&#x00D7;&#x202F;y</td>
<td/>
<td/>
<td align="char" valign="bottom" char=".">&#x2212;0.007</td>
<td align="char" valign="bottom" char=".">0.027</td>
<td align="char" valign="bottom" char=".">&#x2212;0.001</td>
<td align="char" valign="bottom" char=".">0.028</td>
<td/>
<td/>
<td align="char" valign="bottom" char=".">&#x2212;0.049</td>
<td align="char" valign="bottom" char=".">0.049</td>
<td align="char" valign="bottom" char=".">&#x2212;0.080</td>
<td align="char" valign="top" char=".">0.052</td>
</tr>
<tr>
<td align="left" valign="top">y<sup>2</sup></td>
<td/>
<td/>
<td align="char" valign="top" char=".">0.058</td>
<td align="char" valign="top" char=".">0.054</td>
<td align="char" valign="top" char=".">0.053</td>
<td align="char" valign="top" char=".">0.055</td>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;0.107</td>
<td align="char" valign="top" char=".">0.127</td>
<td align="char" valign="top" char=".">&#x2212;0.149</td>
<td align="char" valign="top" char=".">0.130</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">Moderator terms</td>
</tr>
<tr>
<td align="left" valign="top">Supervisor EI ability (w)</td>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.004&#x002A;</td>
<td align="char" valign="top" char=".">0.002</td>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;0.005</td>
<td align="char" valign="top" char=".">0.004</td>
</tr>
<tr>
<td align="left" valign="top">x&#x202F;&#x00D7;&#x202F;w</td>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;0.002</td>
<td align="char" valign="top" char=".">0.001</td>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.003</td>
<td align="char" valign="top" char=".">0.003</td>
</tr>
<tr>
<td align="left" valign="top">y&#x202F;&#x00D7;&#x202F;w</td>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.000</td>
<td align="char" valign="top" char=".">0.004</td>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.015</td>
<td align="char" valign="top" char=".">0.009</td>
</tr>
<tr>
<td align="left" valign="top">x<sup>2</sup>&#x202F;&#x00D7;&#x202F;w</td>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;0.001</td>
<td align="char" valign="top" char=".">0.000</td>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.000</td>
<td align="char" valign="top" char=".">0.001</td>
</tr>
<tr>
<td align="left" valign="top">x&#x202F;&#x00D7;&#x202F;y&#x202F;&#x00D7;&#x202F;w</td>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.003</td>
<td align="char" valign="top" char=".">0.002</td>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;0.006<sup>&#x2020;</sup></td>
<td align="char" valign="top" char=".">0.004</td>
</tr>
<tr>
<td align="left" valign="top">y<sup>2</sup>&#x202F;&#x00D7;&#x202F;w</td>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;0.001</td>
<td align="char" valign="top" char=".">0.004</td>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.002</td>
<td align="char" valign="top" char=".">0.009</td>
</tr>
<tr>
<td align="left" valign="top">Deviance</td>
<td align="center" valign="top" colspan="2">3502.3</td>
<td align="center" valign="top" colspan="2">3449.0</td>
<td align="center" valign="top" colspan="2">3434.9</td>
<td align="center" valign="top" colspan="2">6025.6</td>
<td align="center" valign="top" colspan="2">5789.5</td>
<td align="center" valign="top" colspan="2">5777.7</td>
</tr>
<tr>
<td align="left" valign="top"><italic>df</italic></td>
<td align="center" valign="top" colspan="2">2015</td>
<td align="center" valign="top" colspan="2">2010</td>
<td align="center" valign="top" colspan="2">2004</td>
<td align="center" valign="top" colspan="2">2014</td>
<td align="center" valign="top" colspan="2">2009</td>
<td align="center" valign="top" colspan="2">2003</td>
</tr>
<tr>
<td align="left" valign="top">&#x0394;&#x03C7;<sup>2</sup></td>
<td colspan="2"/>
<td align="center" valign="top" colspan="2">53.304&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top" colspan="2">14.104&#x002A;</td>
<td colspan="2"/>
<td align="center" valign="top" colspan="2">236.093&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top" colspan="2">11.771<sup>&#x2020;</sup></td>
</tr>
<tr>
<td align="left" valign="top"><italic>R</italic>
<sup>2</sup>
<sub>conditional</sub>
</td>
<td align="center" valign="top" colspan="2">18.84%</td>
<td align="center" valign="top" colspan="2">22.03%</td>
<td align="center" valign="top" colspan="2">21.79%</td>
<td align="center" valign="top" colspan="2">15.28%</td>
<td align="center" valign="top" colspan="2">25.48%</td>
<td align="center" valign="top" colspan="2">25.53%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Supervisor <italic>N</italic>&#x202F;=&#x202F;202 for Job Engagement and <italic>N</italic>&#x202F;=&#x202F;201 for Burnout; Subordinate <italic>N</italic>&#x202F;=&#x202F;2,031 for Job Engagement and <italic>N</italic>&#x202F;=&#x202F;2,030 for Burnout. Gender: 1&#x202F;=&#x202F;Women, 2&#x202F;=&#x202F;Men; Supervisor Type: 1&#x202F;=&#x202F;Middle Manager (i.e., both a subordinate and supervisor), 2&#x202F;=&#x202F;Senior Manager; Subordinate Type: 1&#x202F;=&#x202F;Subordinate Only, 2&#x202F;=&#x202F;Middle Manager. S.R.&#x202F;=&#x202F;Self-Reported; F.R.&#x202F;=&#x202F;Follower (Subordinate)-Reported. EI&#x202F;=&#x202F;Emotional Intelligence; EIB&#x202F;=&#x202F;Emotionally Intelligent Behavior. <sup>&#x2020;</sup><italic>p</italic>&#x202F;&#x003C;&#x202F;0.10, &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001.</p>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="tab3">Table 3</xref> contains the surface values and the principal axes for both outcomes, of which the second principal axes of incongruence (<italic>p</italic><sub>20,</sub> <italic>p</italic><sub>21</sub>) related to burnout and job engagement and <xref ref-type="fig" rid="fig3">Figure 3</xref> contains visual plots of the response surfaces. Supporting the congruence hypothesis (H1), the analyses showed that congruence in supervisor-subordinate perceptions of supervisor EIB was associated with lower subordinate burnout (H1a) and higher engagement (H1b). Testing for difference between congruence on high versus low supervisor EIB, for burnout, the slope of the line of congruence was nonsignificant, <italic>b</italic>&#x202F;=&#x202F;&#x2212;0.255, <italic>p</italic>&#x202F;=&#x202F;0.083, and the confidence intervals for <italic>p</italic><sub>10</sub> included zero and for <italic>p</italic><sub>11</sub> included one; similar patterns were observed for the secondary principal axes. For engagement, the confidence intervals for <italic>p</italic><sub>10</sub> and <italic>p</italic><sub>11</sub> also encompassed zero and one, respectively, and again this pattern held for the secondary axes. These results indicate that the surfaces did not show contingency effects, and the slopes of the congruence lines for both burnout and engagement were nonsignificant (burnout: <italic>b</italic>&#x202F;=&#x202F;&#x2212;0.255, <italic>p</italic>&#x202F;=&#x202F;0.083; engagement: <italic>b</italic>&#x202F;=&#x202F;0.072, <italic>p</italic>&#x202F;=&#x202F;0.200). Although the first principal axis for engagement (<xref ref-type="fig" rid="fig3">Figure 3</xref>) was visually not fully aligned with the congruence line, p10 and p11 showed that this deviation was nonsignificant. Thus, while no statistical differences emerged between the two forms of congruence, both congruence forms showed the same directional pattern&#x2014;relating negatively to burnout and positively to engagement, supporting H1a and H1b.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Slopes along lines of congruence and incongruence, and principal axes for supervisor self-rated and supervisor subordinate-rated EIB on subordinate job engagement and work-related burnout.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">Job engagement</th>
<th align="center" valign="top">Burnout</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="3">Surface values</td>
</tr>
<tr>
<td align="left" valign="top"><italic>a</italic><sub>1</sub>: Line of Congruence (x&#x202F;=&#x202F;y), Slope (x&#x202F;+&#x202F;y)</td>
<td align="center" valign="bottom">0.072 (0.056)</td>
<td align="center" valign="top">&#x2212;0.225 (0.130)<sup>&#x2020;</sup></td>
</tr>
<tr>
<td align="left" valign="top"><italic>a</italic><sub>2</sub>: Line of Congruence (x&#x202F;=&#x202F;y), Curvature (x<sup>2</sup>&#x202F;+&#x202F;x&#x002A;y&#x202F;+&#x202F;y<sup>2</sup>)</td>
<td align="center" valign="bottom">0.076 (0.054)</td>
<td align="center" valign="top">&#x2212;0.170 (0.126)</td>
</tr>
<tr>
<td align="left" valign="top"><italic>a</italic><sub>3</sub>: Line of Incongruence (x&#x202F;=&#x202F;&#x2212;y), Slope (x &#x2013; y)</td>
<td align="center" valign="bottom">0.169 (0.066)&#x002A;</td>
<td align="center" valign="top">&#x2212;0.423 (0.145)&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>a</italic><sub>4</sub>: Line of Incongruence (x&#x202F;=&#x202F;&#x2212;y), Curvature (x<sup>2</sup> &#x2013; x&#x002A;y&#x202F;+&#x202F;y<sup>2</sup>)</td>
<td align="center" valign="bottom">0.090 (0.067)</td>
<td align="center" valign="top">&#x2212;0.073 (0.146)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3">Principal axes</td>
</tr>
<tr>
<td align="left" valign="top"><italic>p</italic><sub>10</sub>: First Principal Axis, Intercept</td>
<td align="center" valign="middle">&#x2212;21.110</td>
<td align="center" valign="middle">0.083</td>
</tr>
<tr>
<td align="left" valign="top"><italic>p</italic><sub>11</sub>: First Principal Axis, Slope</td>
<td align="center" valign="middle">&#x2212;9.034</td>
<td align="center" valign="middle">&#x2212;0.247&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>p</italic><sub>20</sub>: Second Principal Axis, Intercept</td>
<td align="center" valign="middle">0.533</td>
<td align="center" valign="middle">81.877</td>
</tr>
<tr>
<td align="left" valign="top"><italic>p</italic><sub>21</sub>: Second Principal Axis, Slope</td>
<td align="center" valign="middle">0.111</td>
<td align="center" valign="middle">4.042</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>x&#x202F;=&#x202F;Supervisor Subordinate-Reported EIB; y&#x202F;=&#x202F;Supervisor Self-Reported EIB. Coefficients are outside of the parentheses and SEs are inside. For intercepts and slopes of the first and second principal axes, an asterisk (&#x002A;) indicates the confidence intervals exclude zero at p&#x202F;&#x003C;&#x202F;0.05 based on the values from the Monte Carlo simulations. <sup>&#x2020;</sup><italic>p</italic>&#x202F;&#x003C;&#x202F;0.10, &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Surface plots depicting the joint effects of supervisor self-reported and subordinate-reported EIB on follower <bold>(a)</bold> job engagement and <bold>(b)</bold> burnout.</p>
</caption>
<graphic xlink:href="fpsyg-17-1637168-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">3D surface plots show relationships in two scenarios. Plot (a) illustrates subordinate engagement against supervisor F.R. EIB (x) and S.R. EIB (y), with a rise at higher x and y values. Plot (b) depicts subordinate burnout in the same parameters, showing a decrease at higher x and y values. Both plots use contour lines for depth.</alt-text>
</graphic>
</fig>
<p>There are two important considerations for interpreting response surfaces. First, it is important to evaluate all response surface parameters simultaneously within a single model (<xref ref-type="bibr" rid="ref76">Yao and Ma, 2022</xref>). Thus, the results were examined for each outcome separately in relation to the hypotheses. Following recommendations from <xref ref-type="bibr" rid="ref21">Edwards and Cable (2009)</xref>, the intercept (<italic>p10</italic>) and slope (<italic>p11</italic>) of the first principal axis (i.e., congruence) and the intercept (<italic>p20</italic>) and slope (<italic>p21</italic>) of the second principal axis (i.e., incongruence) were examined. The surface values were interpreted as recommended by <xref ref-type="bibr" rid="ref76">Yao and Ma (2022</xref>; see their Table 4).</p>
<p>Second, when examining the response surface plots, it is appealing to focus on the corners because upward or downward bends are more pronounced (<xref ref-type="bibr" rid="ref67">Sch&#x00F6;nbrodt, 2016</xref>). However, the corners are often areas in which there are no actual observations, and the slopes/curvatures are assumed. Thus, it is recommended to only interpret the regions in which there is actual data. To aid this interpretation, the range of centered supervisor subordinate-reported EIB scores was &#x2212;3.59 to 1.41 and the range for centered supervisor self-reported EIB scores was &#x2212;1.23 to 1.41. This is graphically displayed in <xref ref-type="fig" rid="fig3">Figure 3</xref> based on the black ovals on the surfaces. Further, the dotted line in the graph is the principal axis.</p>
<p>In examining the incongruence hypothesis (H2), for subordinate burnout, the confidence intervals for the intercept and slope of the second principal axis excluded zero and one, respectively. This aligned with the interpretation of the surface values as well, as the slope of the line of incongruence was significant, <italic>b</italic>&#x202F;=&#x202F;&#x2212;0.423, <italic>p</italic>&#x202F;=&#x202F;0.003. Put simply, subordinate burnout was significantly higher when supervisors overestimated their EIB compared to when supervisors underestimated their EIB. Hence, H2a was supported. H2b was also supported, as the slope of the line of incongruence for subordinate job engagement was significant, b&#x202F;=&#x202F;0.169, <italic>p</italic>&#x202F;=&#x202F;0.010. Put simply, subordinate engagement was significantly lower for subordinates of supervisors who overestimated their EIB compared to subordinates whose supervisors underestimated their EIB.</p>
<p>Finally, the incongruence effect on burnout and engagement remained significant after supervisor EI ability was controlled for (Model 3), suggesting that the differential effects of supervisor underestimation and overestimation are not attributed to EI ability.</p>
</sec>
<sec sec-type="discussion" id="sec18">
<title>Discussion</title>
<p>This study examined how (mis)alignment between supervisor and subordinate ratings of supervisor EIB relates to subordinate the well-being indicators burnout and engagement. Three key findings emerged. First, supervisor-subordinate perceptual congruence on supervisor EIB was positively associated with subordinate engagement and negatively associated with subordinate burnout, independent of the perceived level of supervisor EIB. Second, when incongruence occurred, subordinates reported the lowest engagement and highest burnout when supervisors overestimated their EIB relative to subordinates&#x2019; ratings, compared to cases of supervisor underestimation. Third, these patterns could not be explained by supervisors&#x2019; EI ability.</p>
<sec id="sec19">
<title>Theoretical implications</title>
<p>This study offers several theoretical contributions by applying and extending Self&#x2013;Other Agreement theory (<xref ref-type="bibr" rid="ref5">Atwater and Yammarino, 1992</xref>, <xref ref-type="bibr" rid="ref6">1997</xref>) and the Job Demands&#x2013;Resources model (<xref ref-type="bibr" rid="ref7">Bakker and Demerouti, 2017</xref>, <xref ref-type="bibr" rid="ref8">2024</xref>) to the context of EI in supervisor&#x2013;subordinate relationships. Whereas prior research tended to examine supervisors&#x2019; EI ability, subordinates&#x2019; perceptions of supervisor EIB, or supervisors&#x2019; perceptions of their EIB in isolation, our study shifts the focus toward the relational nature of EI &#x2014; specifically, the (mis)alignment between supervisors&#x2019; and subordinates&#x2019; perceptions of supervisor EI-relevant behavior&#x2014;and demonstrates its relevance to subordinate well-being. The present study does not focus on supervisor individual attributes (whether self-perceived or attributed by others), but instead focuses on perceptions of enacted behavior, which is a more proximal influence on subordinate outcomes (compared to internal attributes; <xref ref-type="bibr" rid="ref33">Ivcevic et al., 2025</xref>; <xref ref-type="bibr" rid="ref9023">Levitats et al., 2025</xref>).</p>
<p>A key contribution of this study concerns the role of perceptual (mis)alignment in shaping subordinate well-being. We foreground the relational nature of EIB, demonstrating that (mis)alignment between supervisors&#x2019; and subordinates&#x2019; perceptions has important implications for subordinate engagement and burnout. Consistent with SOA theory, we show that alignment and misalignment in perceptions have distinct and opposing associations with subordinate well-being, regardless of supervisors&#x2019; actual EI ability. Our findings suggest that a shared understanding of supervisor EIB functions as a psychologically stabilizing force in the workplace and may trigger resource gain spirals (<xref ref-type="bibr" rid="ref30">Hobfoll, 2001</xref>; <xref ref-type="bibr" rid="ref74">Westman et al., 2004</xref>), amplifying engagement and protecting against burnout.</p>
<p>These findings resonate with evidence showing that perceptual (in)congruence within workplace relationships meaningfully shapes subordinate well-being. In a study of perceptual (in)congruence on qualitative job insecurity between individuals and their teammates, <xref ref-type="bibr" rid="ref62">Roczniewska and Richter (2022)</xref> demonstrate that alignment, whether at low or high levels, tends to stabilize subordinates&#x2019; engagement, whereas perceptual incongruence can undermine both engagement and recovery. Additional evidence comes from research on supervisor-subordinate dyads; for example, <xref ref-type="bibr" rid="ref77">Zhao et al. (2024)</xref> found that congruence between supervisor and subordinate evaluations of supervisor transformational leadership behavior strengthened the positive effects of subordinate-rated leadership on team performance compared to incongruence, demonstrating that alignment itself creates a beneficial relational condition.</p>
<p>Beyond the general benefits of perceptual alignment, our findings highlight important differences between forms of supervisor&#x2013;subordinate incongruence in perceptions of supervisor EIB. Prior research conceptualizes supervisors&#x2019; low EI-related attributes as job demands and high EI-related attributes as job resources (<xref ref-type="bibr" rid="ref34">Ivcevic et al., 2021</xref>; <xref ref-type="bibr" rid="ref44">Levitats et al., 2019</xref>). We find that subordinates with underestimating supervisors showed higher engagement levels and lower burnout levels compared to those working with overestimating supervisors. This pattern supports our prediction drawn from the JD-R model (<xref ref-type="bibr" rid="ref7">Bakker and Demerouti, 2017</xref>, <xref ref-type="bibr" rid="ref8">2024</xref>) that supervisor EIB overestimation creates a particularly demanding work environment. It seems that when supervisors overestimate their EIB, subordinates encounter dual resource depletion: they both have to interact with supervisors who show insufficient recognition, understanding, and regulation of emotions and have the additional burden of regulating their behavior not to indicate to the supervisors that their EIB is ineffective. Although subordinates working under EIB underestimating supervisors are not &#x201C;in-sync&#x201D; with their supervisors&#x2019; perceptions either, they report higher engagement and lower burnout. A plausible explanation is that underestimating supervisors&#x2019; self-critical orientation motivates efforts toward self-improvement (<xref ref-type="bibr" rid="ref71">Tekleab et al., 2008</xref>), leading them to enact emotionally intelligent behaviors that generate compensatory job resources for subordinates, thereby fostering engagement and buffering against burnout.</p>
<p>Finally, our findings suggest that the meaning of EIB emerges through a relational and contextual lens. By showing that supervisor-subordinate congruence on perceived supervisor EIB has meaningful implications for subordinate burnout and engagement, beyond their EI ability, our findings speak directly to calls to expand EI research toward understanding how EIB is interpreted in practice. It should be noted that these findings do not diminish the relevance of supervisors&#x2019; EI ability but rather reinforce the importance of further studying how EIB is socially interpreted within dyadic relationships. EI ability remains a foundational component that represents the potential to reason about emotions. However, it does not automatically translate into behavior (<xref ref-type="bibr" rid="ref33">Ivcevic et al., 2025</xref>; <xref ref-type="bibr" rid="ref9023">Levitats et al., 2025</xref>; <xref ref-type="bibr" rid="ref9025">Lopes, 2016</xref>).</p>
</sec>
<sec id="sec20">
<title>Practical implications</title>
<p>Our findings offer several practical implications for organizations seeking to enhance subordinate well-being. First, since perceptual alignment itself benefits subordinate well-being, organizations should promote open dialogue and feedback mechanisms to foster mutual understanding between supervisors and subordinates about how they act to show perceiving, using, understanding, and regulating emotions. Tools such as 360-degree feedback, structured check-ins, and team reflection sessions may help supervisors reconcile their self-perceptions with subordinates&#x2019; experiences of their emotional leadership. Evidence from prior work illustrates this point. For example, <xref ref-type="bibr" rid="ref58">Nielsen et al. (2022)</xref> integrated SOA theory into leadership training programs and demonstrated that feedback-driven development can improve supervisor-subordinate agreement on the supervisor&#x2019;s leadership behaviors.</p>
<p>The example above emphasizes how structured feedback can serve as a mechanism for enhancing self&#x2013;other agreement. Building on this insight, leadership development programs should focus on helping supervisors who overestimate their EIB recognize and address these perceptual gaps by adopting practical behaviors aligned with the four core components of EI (<xref ref-type="bibr" rid="ref47">Mayer and Salovey, 1997</xref>). Recent theoretical work (<xref ref-type="bibr" rid="ref9023">Levitats et al., 2025</xref>) and work aimed at practitioners (<xref ref-type="bibr" rid="ref33">Ivcevic et al., 2025</xref>) outlines influences on such behavior and provides guidance for developing this behavior in supervisors. Finally, because perceptual alignment influences subordinate well-being independently of actual EI ability, organizations may benefit from incorporating alignment-focused assessments, such as supervisor&#x2013;subordinate perceptual gap analyses, into performance evaluations.</p>
</sec>
<sec id="sec21">
<title>Limitations</title>
<p>This study provides important insights into the relationship between supervisor-subordinate perceptual alignment of supervisor EIB and subordinate well-being. Yet, it has several constraints that suggest directions for further investigation. A central limitation of this study is its cross-sectional design, which restricts our ability to infer causality. Both predictor and outcome measures were administered at the same time, with only supervisor EI ability administered at a different time. Though reverse causation does not seem theoretically meaningful, it remains possible that subordinate well-being also influences how subordinates perceive their supervisor&#x2019;s EI. Future research could build on this work and employ longitudinal or time-wave approaches, to help disentangle the temporal ordering of these processes by tracking changes in perceptual alignment and well-being across time. Repeated measures would also allow researchers to capture <italic>dynamic alignment patterns</italic>, such as whether recurrent misalignment is more harmful than temporary discrepancies.</p>
<p>A second limitation concerns the contextual specificity of the study. The hospital environment provides a unique setting for examining EI alignment, yet its generalizability may be limited. Healthcare organizations are characterized by strong professional cultures, hierarchical structures, and highly emotional work, all of which distinguish them from many other organizational contexts. While the observed patterns may extend to other high-stakes or service-oriented environments, further research in non-clinical settings is needed to determine whether the effects of EI alignment manifest differently.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec22">
<title>Conclusion</title>
<p>This study highlights the role of alignment between supervisors and subordinates perceptions of supervisor EIB. By focusing on perceptual (mis)alignment, we offer a partner and socially grounded understanding of EI in the workplace. Our findings show that alignment, regardless of perceived EIB level, is associated with higher engagement and lower burnout, suggesting that shared understanding itself serves as a psychological resource. Importantly, when supervisors overestimate their EIB relative to subordinates&#x2019; perceptions, subordinate well-being suffers most, underscoring the emotional cost of misalignment. These effects are independent of the supervisor&#x2019;s EI ability, suggesting that subordinate outcomes are not associated with just supervisor emotion-related know how, but also the match or mismatch in how supervisors and subordinates perceive supervisor behavior.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec23">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec24">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Yale Institutional Review Board (Protocol number: 2000024967). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their oral consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec25">
<title>Author contributions</title>
<p>ZL: Writing &#x2013; review &#x0026; editing, Conceptualization, Writing &#x2013; original draft. AG: Writing &#x2013; review &#x0026; editing. AM: Data curation, Writing &#x2013; review &#x0026; editing, Formal analysis. ZI: Funding acquisition, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="COI-statement" id="sec26">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec27">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec28">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec291">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpsyg.2026.1637168/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpsyg.2026.1637168/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2067096/overview">Svajone Bekesiene</ext-link>, General Jonas &#x017D;emaitis Military Academy of Lithuan, Lithuania</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/606919/overview">Diego Bellini</ext-link>, Mercatorum University, Italy</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3210360/overview">Jan Vrba</ext-link>, Akademia Jagiellonska, Poland</p>
</fn>
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