Date of Graduation
Spring 2018
Degree
Master of Science in Psychology
Department
Psychology
Committee Chair
Donald Fischer
Abstract
Emotional intelligence (EI) has attracted much attention in the decades since Goleman’s (1995) claim that EI is important for success in a wide range of social and professional roles. With this interest has come much debate about whether EI should be defined and measured as a set of abilities or as a set of dispositional self-perceptions. The latter is typically assessed with self-report measures that are susceptible to contamination related to inaccurate self-knowledge and impression management artifacts – problems that may be mitigated by implicit measures. This research used Implicit Association Test (IAT) procedures to develop implicit measures of EI and investigated relationships with theoretically related explicit (self-report) measures with a sample of Amazon’s Mechanical Turk workers. The results of confirmatory factor analyses of nested latent trait models provided some evidence of convergent and discriminant validity.
Keywords
emotional intelligence, implicit measures, Implicit Association Test, construct validity, confirmatory factor analysis, nested latent trait models, Mechanical Turk
Subject Categories
Industrial and Organizational Psychology | Organizational Behavior and Theory | Social Psychology
Copyright
© Ricardo Rashawn Brooks
Recommended Citation
Brooks, Ricardo R., "The Development and Validation of Implicit Measures of Emotional Intelligence" (2018). MSU Graduate Theses. 3253.
https://bearworks.missouristate.edu/theses/3253
Open Access
Included in
Industrial and Organizational Psychology Commons, Organizational Behavior and Theory Commons, Social Psychology Commons
