Abstract
Zusammenfassung. Emotionale Intelligenz (EI) ist ein zentraler Prädiktor psychischer Gesundheit. Im deutschsprachigen Raum lag bislang keine am Vier-Facetten-Modell der EI orientierte Selbstbeschreibungsskala vor, die an klinischen und nicht-klinischen Gruppen getestet wurde. Die Self-Rated Emotional Intelligence Scale (SREIS) ist mit 19 Items ein ökonomisch einsetzbares Instrument. Die Skala wurde ins Deutsche übertragen und psychometrisch überprüft. Außerdem wurde die SREIS erstmals an einer klinischen Population getestet. Auch werden erstmals differenzierte Ergebnisse zu den vier EI-Facetten vorgelegt. Die Ergebnisse bestätigen die Faktorenstruktur der englischen Originalskala. Die Reliabilität der Gesamtskala ist als gut einzustufen. Validität wird durch erwartungskonforme Korrelationen mit anderen EI-Maßen sowie klinischen Parametern belegt. Durch Diskriminationsfähigkeit zwischen klinischer Stichprobe und nicht-klinischer Kontrollgruppe zeigt die Skala zusätzlich klinische Relevanz. Skalare Messinvarianz zwischen beiden Gruppen liegt vor. Die SREIS-D ist ein ökonomisch einsetzbares Selbstberichtsmaß zur Erfassung von Facetten der EI im klinischen und subklinischen Bereich.
Abstract. Emotional intelligence (EI) is significantly linked to mental health. However, many existing EI measures are not based on integrative theoretical approaches and they lack clinical testing. The present study presents the German version of a 19-item self-report scale based on the widely accepted four-branch model of EI. It is the first study to use the scale in a large clinical sample (n = 338) in addition to a nonclinical sample (n = 218) and to show specific relations with the four facets of EI. Factorial structure and psychometric criteria were evaluated in both samples. The results confirm the factor structure of the original scale. The reliability of the total scale measured with McDonald’s omega is good. Validity is shown based on correlations with other EI measures and clinical indicators. Furthermore, the SREIS-D discriminates between clinical and nonclinical groups. Scalar measurement invariance was found between both groups. The scale can be considered useful and economic for use in clinical emotions and nonclinical assessment of overall EI and of the four facets of perceiving emotions, using emotions to facilitate thinking, understanding emotion and managing emotions.
Literatur
2009). Emotion Regulation Questionnaire – Eine deutschsprachige Fassung des ERQ von Gross und John. Diagnostica, 55, 144 – 152.
(2013). Therapie wirkt! Berlin: Springer.
(2006). The Bar-On model of emotional-social intelligence (ESI). Psicothema, 18, 13 – 25.
(1987). Manual for the Beck Depression Inventory. San Antonio, TX: The Psychological Corporation.
(1996). Beck Depression Inventory Manual, 2nd Edition. San Antonio, TX: Psychological Corporation.
(2015). Messinstrumente in internationalen Studien. Mannheim: GESIS – Leibniz-Institut für Sozialwissenschaften (GESIS Survey Guidelines).
(2008). Entwicklung und Validierung eines Fragebogens zur standardisierten Selbsteinschätzung emotionaler Kompetenzen (SEK-27). Zeitschrift für Psychiatrie, Psychologie und Psychotherapie, 56 (2), 141 – 153.
(Hrsg.). (2015). Forschungsmethoden und Statistik für die Soziale Arbeit. Grundlagen und Anwendungen. Stuttgart: Kohlhammer.
(2006).
(Measuring Emotional Intelligence: Paradigmatic Diversity and Common Ground . In J. CiarrochJ. P. ForgasJ. D. Mayer (Eds.), Emotional intelligence in Everyday Life (2nd ed., pp. 27 – 50). New York, NY: Psychology Press.2006). Relating emotional abilities to social functioning: a comparison of self-report and performance measures of emotional intelligence. Journal of Personality and Social Psychology, 91, 780 – 795.
(2007). Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14, 464 – 504.
(2012). The relative utility of differing measures of emotional intelligence: Other-report EI as a predictor of social functioning. Revue européenne de psychologie appliquée, 62 (3), 121 – 127.
(1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, N. J.: L. Erlbaum Associates.
(2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological methods, 9, 466 – 491.
(2002). SCL-90-R – Die Symptom-Checkliste von L. R. Derogatis (2. vollst. überarb. u. neu norm. Aufl.). Göttingen: Beltz Test.
(2014). Relationship between emotional intelligence and aggression: A systematic review. Aggression and Violent Behavior, 19, 584 – 591.
(2012). Der „Affective Style Questionnaire (ASQ)“: Deutsche Adaption und Validitäten. Diagnostica, 58, 100 – 111.
(2002). Emotion regulation. Affective, cognitive, and social consequences. Psychophysiology, 39, 281 – 291.
(2003). Individual differences in two emotion regulation processes: Implications for affect, relationships, and well-being. Journal of Personality and Social Psychology, 85, 348 – 362.
(2008). Developing and measuring the emotional intelligence of leaders. Journal of Management Development, 27, 225 – 250.
(2009). Beck Depressions-Inventar, 2. Aufl. (BDI II). Frankfurt: Pearson Assessment.
(2016). Enhancing emotion perception, a fundamental component of emotional intelligence. Using multiple-group SEM to evaluate a training program. Personality and Individual Differences, 95, 11 – 19.
(2007). Emotional abilities: What do different measures predict? Dissertation, Technische Universität Chemnitz.
(2009). Emotional intelligence and mental disorder. Journal of clinical psychology, 65, 942 – 954.
(2018). JASP (Version 0.9) [Computer software]. Verfügbar unter https://jasp-stats.org/
(2010). Emotional intelligence: an integrative meta-analysis and cascading model. The Journal of applied psychology, 95 (1), 54 – 78.
(2008). The factorial validity of emotional intelligence: An unresolved issue. Personality and Individual Differences, 44, 487 – 500.
(2016). Principles and practice of structural equation modeling (Methodology in the social sciences, Fourth edition). New York: The Guilford Press.
(2012). Emotional intelligence predicts components of subjective well-being beyond personality: A two-country study using self- and informant reports. The Journal of Positive Psychology, 7 (2), 107 – 118.
(2007). Reliabilität und Validität des revidierten Beck-Depressionsinventars (BDI-II). Befunde aus deutschsprachigen Stichproben. Der Nervenarzt, 78, 651 – 656.
(2007). Umgang mit fehlenden Werten in der psychologischen Forschung. Psychologische Rundschau, 58, 103 – 117.
(2014). Trait Emotional Intelligence and Romantic Relationship Satisfaction: A Meta-Analysis. The American Journal of Family Therapy, 42 (1), 53 – 66.
(2010). A comprehensive meta-analysis of the relationship between Emotional Intelligence and health. Personality and Individual Differences, 49, 554 – 564.
(1997).
(What is Emotional Intelligence? In P. SaloveyD. J. Sluyter (Eds.), Emotional development and emotional intelligence. Educational implications (1st ed., pp. 3 – 31). New York: Basic Books.2002). Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) user’s manual. Toronto, ON: MHS.
(2003). Measuring emotional intelligence with the MSCEIT V2.0. Emotion, 3 (1), 97 – 105.
(1999). Test theory: A unified treatment. Mahwah, NJ: L. Erlbaum Associates.
(2015). A nationally representative study of emotional competence and health. Emotion, 15, 653 – 667.
(2011). The relation between emotional intelligence and job performance: A meta-analysis. Journal of Organizational Behavior, 32, 788 – 818.
(2001). Trait emotional intelligence: psychometric investigation with reference to established trait taxonomies. European Journal of Personality, 15, 425 – 448.
(2015). Confirmatory Factor Analysis as a Tool in Research Using Questionnaires: A Critique. Comprehensive Psychology, 4, 03.CP.4.10.
(2019). A Language and Environment for Statistical Computing [Computer software]. Vienna, Austria: R Foundation for Statistical Computing. Verfügbar unter: https://www.R-project.org/
(2009). Coefficients Alpha, Beta, Omega, and the glb: Comments on Sijtsma. Psychometrika, 74 (1), 145 – 154.
(2003). Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measures. Methods of Psychological Research Online, 8 (2), 23 – 74.
(2011). Walking in each other’s shoes: Perspective taking mediates effects of emotional intelligence on relationship quality. European Journal of Personality, 25, 155 – 169.
(2018).
(Emotional Intelligence: What It Is, How It Can Be Measured and Increased and Whether It Makes Us Successful and Happy . In V. Zeigler-HillT. Shackelford (Eds.), The SAGE Handbook of Personality and Individual Differences: Volume III: Applications of Personality and Individual Differences (pp. 397 – 423). London: SAGE Publications Ltd.2004).
(Selbstdarstellung in der Diagnostik. Die Testperson als aktives Subjekt . In G. Jüttemann (Hrsg.), Handbuch Psychologie als Humanwissenschaft (S. 198 – 212). Göttingen: Vandenhoeck & Ruprecht.2011). Mayer-Salovey-Caruso Test zur Emotionalen Intelligenz (MSCEIT™). Deutschsprachige Adaptation des Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT™) von John D. Mayer, Peter Salovey und David R. Caruso. Bern: Hogrefe.
(2011). On the Changing Role of Cronbach’s α in the Evaluation of the Quality of a Measure. European Journal of Psychological Assessment, 27 (3), 143 – 144.
(2013). Coping with service failures. European Journal of Marketing, 47 (1/2), 71 – 92.
(2013). Convergent and divergent validity of integrative versus mixed model measures of emotional intelligence. Intelligence, 41 (3), 149 – 156.
(2014). Strukturgleichungsmodellierung. Berlin: Springer.
(2002). The effects of leader and follower emotional intelligence on performance and attitude. The Leadership Quarterly, 13, 243 – 274.
(2012). The Emotional Intelligence, Health, and Well-Being Nexus: What Have We Learned and What Have We Missed? Applied Psychology: Health and Well-Being, 4 (1), 1 – 30.
(