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Predicting confrontation naming item difficulty.

Gerasimos Fergadiotis1, Alexander Swiderski2, William D Hula3

  • 1Portland State University, Portland, OR.

Aphasiology
|August 30, 2019
PubMed
Summary
This summary is machine-generated.

Item difficulty for naming tests can be predicted using word length, age of acquisition, lexical frequency, and naming latency. This approach aids in assessing individuals with aphasia without large sample sizes.

Keywords:
aphasiaassessmentconfrontation namingitem response theorypsychometricsreaction time

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Area of Science:

  • Psycholinguistics
  • Neuroscience
  • Speech-Language Pathology

Background:

  • Item response theory (IRT) is useful for modeling item difficulty but requires large sample sizes, limiting its use in aphasiology.
  • Previous attempts to predict item difficulty for the Philadelphia Naming Test (PNT) using psycholinguistic variables were hampered by incomplete data.
  • This study addresses the need for alternative methods to estimate item difficulty in confrontation naming tests.

Purpose of the Study:

  • To estimate naming latencies for all 175 items on the PNT.
  • To evaluate the effectiveness of psycholinguistic variables and naming latencies in predicting item difficulty.

Main Methods:

  • A speeded picture naming task was administered to 44 healthy adults to collect naming latencies for PNT items.
  • A regression model, previously developed by Swiderski et al. (2016), was re-estimated using the newly collected naming latency data.

Main Results:

  • The regression model, incorporating word length, age of acquisition, lexical frequency, and naming latency, explained a significant portion of the variance in PNT item difficulty (Adj. R² = .692).

Conclusions:

  • Psycholinguistic variables and naming latencies effectively predict picture naming item difficulty.
  • These predictors are easily obtainable and can be used to estimate item difficulty for individuals with aphasia, bypassing the need for large sample data collection.