Identifiability of the Multinomial Processing Tree-IRT model for the Philadelphia Naming Test
arXiv (Cornell University)(2023)
摘要
Naming tests represent an essential tool in gauging the severity of aphasia
and monitoring the trajectory of recovery for individuals afflicted with this
debilitating condition. In these assessments, patients are presented with
images corresponding to common nouns, and their responses are evaluated for
accuracy. The Philadelphia Naming Test (PNT) stands as a paragon in this
domain, offering nuanced insights into the type of errors made in responses. In
a groundbreaking advancement, Walker et al. (2018) introduced a model rooted in
Item Response Theory and multinomial processing trees (MPT-IRT). This
innovative approach seeks to unravel the intricate mechanisms underlying the
various errors patients make when responding to an item, aiming to pinpoint the
specific stage of word production where a patient's capability falters.
However, given the sophisticated nature of the IRT-MPT model proposed by Walker
et al. (2018), it is imperative to scrutinize both its conceptual as well as
its statistical validity. Our endeavor here is to closely examine the model's
formulation to ensure its parameters are identifiable as a first step in
evaluating its validity.
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关键词
processing,tree-irt
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