The Emotion-Regulation Skills Questionnaire (ERSQ)<\/strong>, originally conceptualized in German as the Selbsteinsch\u00e4tzung emotionaler Kompetenzen<\/em> (SEK-27; Berking & Znoj, 2008<\/a>), is a comprehensive, 27-item self-report psychometric instrument designed to evaluate adaptive, broad-spectrum emotion regulation<\/a> skills. Grounded in the Adaptive Coping with Emotions (ACE) model, the questionnaire systematically assesses nine distinct facets of emotion regulation: Awareness<\/em>, Sensation<\/em>, Clarity<\/em>, Understanding<\/em>, Acceptance<\/em>, Tolerance<\/em> (Resilience), Readiness to Confront<\/em>, Compassionate Self-Support<\/em>, and Modification<\/em>. Respondents evaluate their functional emotional competence over the preceding week using a five-point Likert scale ranging from 0 (not at all<\/em>) to 4 (almost always<\/em>).<\/p>\n Extensive psychometric investigations across community, student, and diverse clinical populations confirm that the ERSQ demonstrates robust structural, convergent, discriminant, and predictive validity. Confirmatory factor analyses support a hierarchical model comprising nine distinct lower-order factors loading onto a single higher-order general emotion regulation factor. Internal consistency coefficients are consistently high, with Cronbach\u2019s alpha ($\u0007lpha$<\/span>) and McDonald\u2019s omega ($\\omega$<\/span>) values for the total composite score typically exceeding .90, and subscale coefficients ranging from acceptable to excellent (.68 to .86). Test-retest reliability across multiple intervals confirms the temporal stability of the measure while preserving sensitivity to therapeutic change. The ERSQ is extensively utilized in clinical trials, psychotherapy research, and affective neuroscience to assess transdiagnostic deficits, predict treatment outcomes in conditions such as major depressive disorder<\/a> and substance use disorders, and monitor the development of adaptive affective mechanisms during cognitive-behavioral and emotion-focused interventions.<\/p>\n Emotion-Regulation Skills Questionnaire, ERSQ, SEK-27, emotion regulation, affective science, adaptive coping, clinical assessment, psychometrics, transdiagnostic factor, Cognitive Behavioral Therapy<\/p>\n The Emotion-Regulation Skills Questionnaire was developed by Matthias Berking, Ph.D.<\/strong>, and Hansj\u00f6rg Znoj, Ph.D.<\/strong>, with key international collaborations and cross-cultural adaptations led by Peggilee Wupperman, Ph.D.<\/strong>, Ulrich Orth, Ph.D.<\/strong>, David Ebert, Ph.D.<\/strong>, and Stefan G. Hofmann, Ph.D.<\/strong><\/p>\n The primary purpose of the Emotion-Regulation Skills Questionnaire (ERSQ) is to provide an empirically grounded, clinically sensitive, and psychometrically rigorous measure of an individual’s perceived capability to implement adaptive emotion regulation skills in day-to-day living. Whereas traditional instruments often focus predominantly on expressive suppression, cognitive reappraisal (such as the Emotion Regulation Questionnaire<\/a>; Gross & John, 2003), or global emotional dysregulation (such as the Difficulties in Emotion Regulation Scale<\/a>; Gratz & Roemer, 2004), the ERSQ systematically assesses proactive and adaptive operational skills derived from contemporary affective science.<\/p>\n Clinically, the ERSQ was engineered to serve as a diagnostic and treatment-monitoring tool in individual and group psychotherapy, specifically within Cognitive Behavioral Therapy (CBT)<\/a>, Dialectical Behavior Therapy (DBT)<\/a>, and specialized training programs such as Berking’s Affect Regulation Training (ART). By assessing distinct skill dimensions\u2014ranging from basic physiological somatic awareness to complex goal-directed behavioral engagement in the presence of intense negative affect\u2014the ERSQ enables clinicians to formulate idiographic emotion-regulation profiles. This profiling highlights specific skill deficits that warrant targeted intervention, such as an inability to decipher emotional clarity versus deficits in self-soothing or distress tolerance.<\/p>\n In empirical research, the ERSQ serves as a standard metric for testing transdiagnostic models of psychopathology. A growing body of literature indicates that deficits across specific ERSQ skills operate as generalized vulnerability factors for affective disorders, anxiety disorders, eating disorders, and substance dependency. Moreover, because the ERSQ assesses skill utilization over a designated recent timeframe (“in the last week”), it displays exceptional utility as a longitudinal outcome measure, sensitive to micro-level clinical gains during psychotherapy and randomized controlled trials.<\/p>\n The psychological construct captured by the ERSQ is multidimensional adaptive emotion regulation competence. Rather than conceptualizing emotion regulation as a monolithic trait, the underlying construct reflects an integrated set of cognitive, somatic, behavioral, and experiential skills necessary for identifying, tolerating, modulating, and drawing functional information from emotional experiences. The instrument divides this overarching construct into nine operational facets, each evaluated through three targeted items:<\/p>\n The ERSQ is theoretically anchored in Matthias Berking\u2019s Adaptive Coping with Emotions (ACE) model<\/strong> (Berking et al., 2008<\/a>), an integrative framework synthesizing cognitive-behavioral theories of psychopathology, affective neuroscience, evolutionary emotion theory, and mindfulness-based interventions. According to the ACE model, successful adaptation to environmental demands relies on the sequential and parallel deployment of specific emotion-regulation processes that convert raw emotional arousal into adaptive action.<\/p>\n The framework draws significantly from James Gross\u2019s Process Model of Emotion Regulation<\/a>, which outlines antecedent- and response-focused strategies across the timeline of emotional generation. However, the ACE model advances beyond the traditional cognitive reappraisal-versus-suppression dichotomy by emphasizing a staged, skills-based hierarchy:<\/p>\n Under this theoretical perspective, psychopathology emerges when individuals experience systematic blocks or deficits along this processing chain. For instance, attempting modification without prior acceptance often breeds experiential avoidance, while lack of somatic awareness undermines emotional clarity, leaving individuals vulnerable to diffuse, unmanageable distress.<\/p>\n Empirical evaluations have demonstrated robust psychometric validity for the ERSQ across clinical and non-clinical cohorts.<\/p>\n Construct validity is substantiated by structural equation modeling and confirmatory factor analysis (CFA). Studies demonstrate that while the nine subscales reflect distinct, non-redundant competencies, they systematically converge onto a single higher-order factor representing global emotion-regulation capacity (Berking & Znoj, 2008<\/a>). This hierarchical structure supports using both individual subscale profiles and a single composite total score.<\/p>\n Convergent validity is documented via strong correlations with conceptually related psychometric instruments. The ERSQ total score correlates inversely with the Difficulties in Emotion Regulation Scale (DERS; $r = -.60$<\/span> to $-.78$<\/span>), indicating that higher skill execution corresponds directly to diminished regulatory difficulties. The Modification and Self-Support subscales display positive associations with the Cognitive Reappraisal subscale of the Emotion Regulation Questionnaire (ERQ; $r = .45$<\/span> to $.58$<\/span>), while showing minimal or negative correlations with Expressive Suppression, validating theoretical divergence.<\/p>\n Furthermore, ERSQ scores correlate inversely with standard measures of psychological distress, including the Beck Depression Inventory-II (BDI-II; $r = -.45$<\/span> to $-.62$<\/span>), the Beck Anxiety Inventory (BAI), and the Global Severity Index (GSI) of the Symptom Checklist-90-Revised (SCL-90-R). Discriminant validity has been confirmed through weak correlations with unrelated personality dimensions (such as extraversion or open conscientiousness) and cognitive ability measures.<\/p>\n Longitudinal and experimental studies demonstrate that baseline ERSQ scores predict psychological adjustment and symptom remission over time. In a landmark prospective study, Berking, Wupperman, Orth, et al. (2008)<\/a> established that pre-treatment ERSQ scores prospectively predicted reductions in general distress and negative affect following psychotherapeutic treatment, even after controlling for baseline symptom severity.<\/p>\n In clinical trials focusing on alcohol use disorder<\/a>, Berking et al. (2011)<\/a> showed that specific deficits in ERSQ skills\u2014especially tolerance and modification\u2014significantly predicted alcohol relapse rates post-treatment. Similarly, in a randomized controlled trial of inpatient cognitive-behavioral therapy for major depressive disorder (Berking, Ebert, Cuijpers, & Hofmann, 2013)<\/a>, the integration of targeted emotion-regulation training generated significant enhancements in ERSQ competencies, which statistically mediated broader reductions in depressive symptomatology.<\/p>\n The ERSQ displays excellent internal consistency and temporal reliability across diverse demographic groups and clinical settings.<\/p>\n The factorial architecture of the ERSQ was originally established through exploratory factor analysis (EFA) and systematically cross-validated using confirmatory factor analysis (CFA) (Berking & Znoj, 2008<\/a>; Berking, Wupperman, et al., 2008<\/a>).<\/p>\n In confirmatory evaluations, two theoretical models have been rigorously tested against one another: a single-factor unifactorial model, an orthogonal 9-factor model, and a hierarchical second-order model (in which nine primary factors load onto one overarching global emotion-regulation factor). The single-factor model consistently shows poor fit indices (e.g., $\\text{CFI} < .80$<\/span>, $\\text{RMSEA} > .10$<\/span>), confirming that emotion regulation cannot be represented as an undifferentiated general trait.<\/p>\n In contrast, the hierarchical model<\/strong> exhibits an excellent fit to empirical data across both psychiatric and non-psychiatric populations:<\/p>\n Standardized factor loadings ($lambda$<\/span>) of the individual items on their respective designated lower-order factors consistently range between $.62$<\/span> and $.89$<\/span>, with all loadings statistically significant at $p < .001$<\/span>. The first-order factors in turn exhibit substantial loadings on the second-order latent variable of global emotion regulation, with secondary loadings typically ranging from $.55$<\/span> (for Sensation and Readiness to Confront) to $.88$<\/span> (for Modification and Understanding). International cross-cultural validations, including Persian (Mohammadi et al., 2015<\/a>), Spanish, and North American cohorts, demonstrate strong measurement invariance across biological sex and age brackets.<\/p>\n The original German instrument (SEK-27) and its English adaptation (ERSQ) were formally published in 2008<\/strong> by Matthias Berking and colleagues. The scale was established as an open-access empirical metric to facilitate research and clinical practice. It is made available free of charge for non-commercial academic research, clinical education, and healthcare assessment under standard ethical conditions of attribution.<\/p>\n Commercial reproduction, electronic redistribution in proprietary assessment platforms, or integration into fee-based automated clinical software requires explicit permission and licensing from the primary developer, Prof. Dr. Matthias Berking (Friedrich-Alexander-University Erlangen-N\u00fcrnberg, Department of Clinical Psychology and Psychotherapy). Researchers using the scale should cite the foundational validation papers (Berking & Znoj, 2008<\/a>; Berking et al., 2008<\/a>).<\/p>\nKeywords<\/h2>\n
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Purpose<\/h2>\n
Psychological Construct<\/h2>\n
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Theoretical Framework<\/h2>\n
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Validity<\/h2>\n
Construct and Structural Validity<\/h3>\n
Convergent and Discriminant Validity<\/h3>\n
Predictive and Transdiagnostic Validity<\/h3>\n
Reliability<\/h2>\n
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Factor Analysis<\/h2>\n
First-Order and Hierarchical CFA Models<\/h3>\n
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Factor Loadings<\/h3>\n
Instrument \/ Measurement Tool<\/h2>\n
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0<\/code> = not at all<\/li>\n1<\/code> = rarely<\/li>\n2<\/code> = sometimes<\/li>\n3<\/code> = often<\/li>\n4<\/code> = almost always<\/li>\n<\/ul>\n<\/li>\n\n
Permissions & Fee and Test Year<\/h2>\n
References<\/h2>\n
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13. Items of the Scale (Questionnaire)<\/h2>\n