Abstract
Taxonomic models of emotional abilities have focused on receptive facets. Latent variable modeling of facial emotion expression as an ability construct has been neglected so far. We developed a task battery including multiple methods for assessing the ability to display six main emotions, anger, fear, sadness, surprise, disgust, and happiness. Video recordings of the emotion displays were analyzed for 245 participants. Following automatic expression coding, elaborate scoring and systematic model testing we established a measurement model of productive emotional abilities. The structure that best described the observed data controlled for face plasticity and showed emotion-specific factors that are nested under a general expressivity factor. Individual differences in Action Unit networks characterizing specific emotions will be considered. Structural models revealed a positive relationship of facial expressivity with receptive abilities and extraversion. Results will be discussed in the context of recent debates in emotion research and models of emotional abilities.
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