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August 25, 2025Languages1 citationsOpen Access

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

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ACAllen Jie Ein CheeCSCsaba Zoltán SzaboSASusan A. Ambrose

Key Points

  • The productive emotion vocabulary size test improves assessment accuracy for learners' emotional lexicons, enhancing language proficiency.
  • Rasch analysis confirmed the scoring system's effectiveness, particularly for higher frequency emotion words in adult participants.
  • The study's findings suggest language pedagogy can be enriched by focusing on emotion-specific vocabulary in education.
  • Further research is recommended to include more linguaculturally diverse participants to validate the findings across varied contexts.

Abstract

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.

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Cite This Study

Chee et al. (2025) studied this question.

synapsesocial.com/papers/68af5d63ad7bf08b1eae0867https://doi.org/10.3390/languages10090204
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