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Shermis, Mark D.; Mao, Liyang; Mulholland, Matthew; Kieftenbeld, Vincent – International Journal of Testing, 2017
This study uses the feature sets employed by two automated scoring engines to determine if a "linguistic profile" could be formulated that would help identify items that are likely to exhibit differential item functioning (DIF) based on linguistic features. Sixteen items were administered to 1200 students where demographic information…
Descriptors: Computer Assisted Testing, Scoring, Hypothesis Testing, Essays

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