The Expression Regulation Scale (ERS): Validation of Three Emotion Domains for Expressive Norms with Close and Distant Others in Private and Public Situations.
The social norms that guide emotional expression are critical for successful interpersonal interaction. However, the intricate emotional architecture underpinning these norms has remained largely unexplored. Our study is the first to rigorously investigate "display rules" or expressive norms for a c...
| Publicado en: | Assessment Vol. 33; no. 3; pp. 439 - 458 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Apr2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=191764374&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 191764374 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10731911 G70 jtl: Assessment issn: 10731911 maglogo: Y pubinfo: dt: Apr2026 vid: 33 iid: 3 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 191764374 185010751 191764374 191764374 10.1177/10731911251333664 191764374 ppf: 439 ppct: 19 formats: tig: atl: The Expression Regulation Scale (ERS): Validation of Three Emotion Domains for Expressive Norms with Close and Distant Others in Private and Public Situations. aug: au: Monaghan, Conal Shou, Yiyun Mewton, Paige Quayle, Anika Dawel, Amy affil: The Australian National University, Canberra, ACT, Australia sug: subj: Social Norms Emotional Regulation Interpersonal Relations Social Behavior Cultural Competence Conceptual Framework Human Funding Source United Kingdom Algorithms Factor Analysis Validation Studies Repeated Measures Crowdsourcing Quota Sample Chi Square Test Adult Middle Age Aged Aged, 80 and Over Descriptive Statistics Scales Questionnaires Kruskal-Wallis Test Analysis of Variance Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over ab: The social norms that guide emotional expression are critical for successful interpersonal interaction. However, the intricate emotional architecture underpinning these norms has remained largely unexplored. Our study is the first to rigorously investigate "display rules" or expressive norms for a comprehensive set of 64 theory-based emotions, utilizing a representative sample from the United Kingdom. The sample reflected national census demographics based on age, sex, and ethnicity. We measured expressive norms ranging from suppression to amplification in four social situations, combining two settings (public vs. private) and interactant types (close relations vs. distant others). Using a theory-building subsample (n = 507), we employed ant colony optimization (AOC) algorithms and a suite of factor analytical techniques to distill the emotions into three domains: affiliative, vulnerable, and disruptive. Subsequent validation in a separate confirmatory subsample (n = 506) supported this structure in all four situations (conditions), providing evidence these domains were robust. Notably, this new Expression Regulation Scale (ERS) demonstrated scalar invariance across all situations using repeated measures confirmatory factor analysis. We introduce scoring metrics and norms to aid researchers and practitioners in their analytical endeavors and highlight potential avenues for future research aimed at enriching our understanding of expression regulation. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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