ArticleEducational and psychological measurement2025
Reconceptualizing Scoring Reliability Through Linguistic Similarity.
Article in Educational and psychological measurement, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Conventional cross-country scoring reliability in international large-scale assessments often depends on double scoring, which typically involves relatively small samples of multilingual responses. To extend the reach of reliability estimation, this study introduces the Linguistic-integrated Reliability Audit (LiRA), a novel method that measures scoring reliability using an entire dataset in a large-scale, multilingual context. LiRA automatically generates a second score for each response by analyzing its semantic alignment within a neighborhood of similar responses, then applies a weighted majority voting to determine a consensus score. Results demonstrate that LiRA provides a more comprehensive and systematic estimation of scoring reliability at the item, country, and language levels, while preserving the fundamental concepts of traditional reliability.
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