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THE WHARTON – YALE CENTER FOR EI EMOTIONAL INTELLIGENCE ASSESSMENT PROJECT. Sigal Barsade, Wharton School, University of PA Marc Brackett, Yale University. EMOTIONS MATTER.
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THE WHARTON – YALE CENTER FOR EI EMOTIONAL INTELLIGENCE ASSESSMENT PROJECT Sigal Barsade, Wharton School, University of PA Marc Brackett, Yale University
EMOTIONS MATTER The goal of the Wharton - Yale Center for EI Emotional Intelligence Assessment Project is to create the next generation of performance tests of Emotional Intelligence and release them for public researcher use. We aim to make the test accessible, comprehensive, reliable, valid ideally with use of most current testing and computer technology.
CURRENT TESTS • Others focus on simple self-reports: Social Skills Inventory, BAR-ON, Affective Communication Test, etc. • Self-reports are unrelated to actual skills • Self-reports are correlate with existing measures • JACBART, DANVA, Mind in the Eyes, CAM, MERT, etc. • Predominantly focused on facial expression recognition • Rely on stimuli that are outdated, limited in scope, or not validated • A few use dynamic displays of spontaneous behavior: Social Interpretations Task, Test of Nonverbal Receiving. • Validation and reliability issues • The MSCEIT is the most widely used performance measure of EI. • Some sections not related to EI • Text heavy and variable – items from 22 to 325 words long • Problematic scoring • Static and repetitive • Inconsistent findings
MSCEIT EXAMPLES • Imagine feeling content on a wonderful day, with terrific news about your job and family. How much is the feeling of contentment like each of the following sensations? • Warm • Purple • Salty • Rate 1 (Not alike) to 5 (Very much alike)
SEVEN CORNERSTONE STANDARDS Valid scientific construct of EI – operationalize EI as a set of abilities grounded in accepted theory, not as self-reports or unrelated tasks. Hybrid scoring – expert and consensus scoring alone have issues; we will combine the strengths of both. Exhaustive validity – convergent and discriminant validity across a wide array of constructs, measures, and real-world tests. Rigorous reliability – inconsistent in existing tests User experience – current tests can be dull; ours will be designed to be engaging, interesting, and fun. Multimedia focus – our goal is to minimize text and get rid of stills; we also will add engaging HD video content and dynamic response systems. Realtime Feedback – Eventually… offer real time scores by branch, emotion, valence, arousal, and provide detailed information as to what specific scores mean. Possibly incorporate training component.
Wharton – Yale Center for EI TEST OF EMOTIONAL INTELLIGENCE Express Display Happiness Recognize Understand Regulate Cross-cultural?
NEXT STEPS • “Due Diligence” – best understand problems with current tests and get information from experts in the field about what they would like to see in a new test. • Build the EI Test branches. • Partner with a software company – and possibly computer science professor - to accelerate development of both front-end and back-end technologies. • Rigorously validate the five RULER Test branches across measures and real-life constructs. • Release the test for researchers free use. • Possibly develop feedback systems that can allow the test to “teach”