Measuring Emotion Recognition Through Language: The Development and Validation of an English Productive Emotion Vocabulary Size Test

Emotion vocabulary is essential for recognising, expressing, and regulating emotions, playing a critical role in language proficiency and emotional competence. However, traditional vocabulary assessments have largely overlooked emotion-specific lexicons, limiting their ability to identify learners’ gaps in this area. Therefore, this study addresses this gap by developing and validating the Productive Emotion Vocabulary Size Test (PEVST), a tool designed to evaluate productive emotion vocabulary knowledge in ESL/EFL contexts. The PEVST incorporates low-, mid-, and high-frequency emotion words, assessed through context-rich vignettes, offering a comprehensive tool for measuring productive emotion vocabulary knowledge. The study recruited 156 adult participants with varying language proficiency levels. Findings revealed that word frequency significantly influenced production accuracy: higher frequency words were more easily retrieved, while lower frequency words often elicited higher frequency synonyms. Rasch analysis provided validity evidence for the test’s scoring, highlighting the effectiveness of a granular scoring system that considers nuanced responses. However, some limitations arose from misfitting items and the homogeneity of participants’ language proficiency, calling for further evidence with a more linguaculturally diverse target group and careful control for individual differences. Future iterations should address these challenges by incorporating cultural adaptations and accounting for individual differences. The PEVST offers a robust foundation for advancing emotion vocabulary assessment, deepening our understanding of the interplay between language, emotions, and cognition, and informing emotion-focused language pedagogy.