William D. Hula

University of Pittsburgh
Country flagUnited States

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (13)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Purpose: Item response theory (IRT) is a modern psychometric framework with several advantageous properties as compared with classical test theory. IRT has been successfully used to model performance on anomia tests in individuals with aphasia; however, all efforts to date have focused on noun production accuracy. The purpose of this study is to evaluate whether the Verb Naming Test (VNT), a prominent test of action naming, can be successfully modeled under IRT and evaluate its reliability. Method: We used responses on the VNT from 107 individuals with chronic aphasia from AphasiaBank. Unidimensionality and local independence, two assumptions prerequisite to IRT modeling, were evaluated using factor analysis and Yen's Q 3 statistic (Yen, 1984), respectively. The assumption of equal discrimination among test items was evaluated statistically via nested model comparisons and practically by using correlations of resulting IRT-derived scores. Finally, internal consistency, marginal and empirical reliability, and conditional reliability were evaluated. Results: The VNT was found to be sufficiently unidimensional with the majority of item pairs demonstrating adequate local independence. An IRT model in which item discriminations are constrained to be equal demonstrated fit equivalent to a model in which unique discrimination parameters were estimated for each item. All forms of reliability were strong across the majority of IRT ability estimates. Conclusions: Modeling the VNT using IRT is feasible, yielding ability estimates that are both informative and reliable. Future efforts are needed to quantify the validity of the VNT under IRT and determine the extent to which it measures the same construct as other anomia tests. Supplemental Material: https://doi.org/10.23641/asha.22329235

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Collaborators (9)

Gerasimos Fergadiotis

Professor

Portland State University

UNITED STATES
View details

Alyssa Lanzi

Research Assistant Professor

University of Delaware

UNITED STATES
View details

Matthew Cohen

Assistant Professor

University of Delaware

UNITED STATES
View details

William Evans

University of Pittsburgh

UNITED STATES
View details

Sarah E. Wallace

Associate Professor

Duquesne University

UNITED STATES
View details

Julie Wambaugh

Professor

University of Utah

UNITED STATES
View details

Tyson Harmon

Assistant Professor

Brigham Young University

UNITED STATES
View details

David Tulsky

Dirctor and Professor

University of Delaware

UNITED STATES
View details

Michael Walsh Dickey

Professor

University of Pittsburgh

UNITED STATES
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.