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The Utility Of Multiplex Closeness Centrality For Predicting Item Difficulty Parameters In Anomia Tests, Khanh L. Nguyen
The Utility Of Multiplex Closeness Centrality For Predicting Item Difficulty Parameters In Anomia Tests, Khanh L. Nguyen
University Honors Theses
Background: Confrontation naming tests for the assessment of aphasia are perhaps the most commonly used tests in aphasiology. Recently, such tests have been modeled using item response theory approaches. Despite their advantages, item response theory models require large sample sizes for parameter estimation that are often unrealistic when working with clinical populations. As an alternative approach, Fergadiotis, Kellough & Hula (2015) explored automatic item calibration by regressing item difficulty parameters on word length, age of acquisition (AOA), and lexical frequency as quantified by the Log10CD index. Despite the high predictive utility that they achieved, the model’s performance was far from …