Applying Item Response Theory to the Development of a Screening Adaptation of the Goldman-Fristoe Test of Articulation–Second Edition Purpose Item response theory (IRT) is a psychometric approach to measurement that uses latent trait abilities (e.g., speech sound production skills) to model performance on individual items that vary by difficulty and discrimination. An IRT analysis was applied to preschoolers' productions of the words on the Goldman-Fristoe Test of Articulation–Second ... Research Note
Research Note  |   September 18, 2017
Applying Item Response Theory to the Development of a Screening Adaptation of the Goldman-Fristoe Test of Articulation–Second Edition
 
Author Affiliations & Notes
  • Tim Brackenbury
    Bowling Green State University, OH
  • Michael J. Zickar
    Bowling Green State University, OH
  • Benjamin Munson
    University of Minnesota, Minneapolis
  • Holly L. Storkel
    University of Kansas, Lawrence
  • Disclosure: The authors have declared that no competing interests existed at the time of publication.
    Disclosure: The authors have declared that no competing interests existed at the time of publication. ×
  • Correspondence to Tim Brackenbury: tbracke@bgsu.edu
  • Editor: Julie Liss
    Editor: Julie Liss×
  • Associate Editor: Tanya Eadie
    Associate Editor: Tanya Eadie×
Article Information
Speech, Voice & Prosody / Language / Research Notes
Research Note   |   September 18, 2017
Applying Item Response Theory to the Development of a Screening Adaptation of the Goldman-Fristoe Test of Articulation–Second Edition
Journal of Speech, Language, and Hearing Research, September 2017, Vol. 60, 2672-2679. doi:10.1044/2017_JSLHR-L-16-0392
History: Received October 7, 2016 , Revised March 13, 2017 , Accepted April 11, 2017
 
Journal of Speech, Language, and Hearing Research, September 2017, Vol. 60, 2672-2679. doi:10.1044/2017_JSLHR-L-16-0392
History: Received October 7, 2016; Revised March 13, 2017; Accepted April 11, 2017

Purpose Item response theory (IRT) is a psychometric approach to measurement that uses latent trait abilities (e.g., speech sound production skills) to model performance on individual items that vary by difficulty and discrimination. An IRT analysis was applied to preschoolers' productions of the words on the Goldman-Fristoe Test of Articulation–Second Edition (GFTA-2) to identify candidates for a screening measure of speech sound production skills.

Method The phoneme accuracies from 154 preschoolers, with speech skills on the GFTA-2 ranging from the 1st to above the 90th percentile, were analyzed with a 2-parameter logistic model.

Results A total of 108 of the 232 phonemes from stimuli in the sounds-in-words subtest fit the IRT model. These phonemes, and subgroups of the most difficult of these phonemes, correlated significantly with the children's overall percentile scores on the GFTA-2. Regression equations calculated for the 5 and 10 most difficult phonemes predicted overall percentile score at levels commensurate with other screening measures.

Conclusions These results suggest that speech production accuracy can be screened effectively with a small number of sounds. They motivate further research toward the development of a screening measure of children's speech sound production skills whose stimuli consist of a limited number of difficult phonemes.

Acknowledgments
The data analyzed in this article were collected in studies that were funded by a National Institute of Health Grant R03 DC005702 to Benjamin Munson and Grant R03 DC006545 to Holly L. Storkel.
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