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Assessment of anomia: Improving efficiency and utility using item response theory

失范评估：利用项目反应理论提高效率和效用

基本信息

批准号：
10245147
负责人：
Gerasimos Fergadiotis
金额：
$ 58.77万
依托单位：
VETERANS HEALTH FOUNDATION
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-01 至 2025-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10245147
关键词：
Address Affect Agreement Algorithms American Anomia Aphasia Aphasiology Area Assessment tool Bayesian Method Brain Injuries Clinic Clinical Cognitive Cognitive deficits Computer Models Computers Data Data Set Development Diagnosis Diagnostic Disease Engineering Equilibrium Exhibits Foundations Frequencies Future Goals Individual Investigation Length Link Measurement Measures Methods Modeling Modification Names National Institute on Deafness and Other Communication Disorders Outcome Participant Patients Persons Philadelphia Policies Process Production Property Psychometrics Rehabilitation therapy Research Sampling Severities Specific qualifier value Strategic Planning Stroke Structure System Techniques Technology Testing Theoretical model Time Treatment Efficacy Validation Walkers Work Workload archive data archived data base clinical decision-making clinical practice computerized efficacy research experience flexibility improved instrumentation lexical predictive modeling predictive test response simulation theories treatment research

项目摘要

Project Summary/Abstract Anomia is a core feature of aphasia, a disorder affecting at least 2.5 million Americans. Assessment of naming ability is foundational to both research and clinical practice in aphasiology, but currently available naming tests have largely failed to capitalize on important advances in psychometric theory and practice over the past 50 years. Sensitive metrics are needed to support investigations of the cognitive mechanisms underlying anomia, clinical decision making, and treatment research. To be optimally useful, these metrics must be validated within a rigorous psychometric framework to (i) efficiently provide information about both overall severity and the underlying cognitive deficits in a unified framework, (ii) support repeated assessments without threatening internal validity or measurement precision, (iii) target both object and action naming, and (iv) easily integrate into computerized adaptive testing platforms. All current anomia tests lack at least one of these features. To remedy this gap, this project pursues three aims. First, to ease sharing of information across clinics and labs, and enhance the ability to conduct robust meta-analytic studies, five object picture-naming tests will be equated within an item response theory framework, and their scores will be expressed on the same metric. Further, to obviate the need for large samples in future item development, a model for predicting the difficulty of most picturable nouns will be refined and cross-validated. Just as the measurement of length does not depend on which ruler is used, measurement of anomia severity need not depend on which naming test is given. Second, to quantify the underlying cognitive deficits of anomia, a cognitive-psychometric model of anomia will be refined and evaluated to produce a measurement model that balances clinical utility, model-data fit, and fidelity to current theory. Third, given the increasingly recognized importance of action naming, a computer adaptive action naming test will be developed using item response theory by modeling action naming responses; regressing verb item difficulty parameters on relevant target properties; and, conducting real-data simulations to assess the precision of the computer adaptive test engine. This work will produce a powerful and flexible anomia assessment tool with utility for both research and clinical practice. Depending on user specifications, it will maximize diagnostic information and measurement precision while minimizing response burden. The aims of this project directly address goals identified in the NIDCD Strategic Plan for 2017-2021, including developing and refining techniques, technology, and instrumentation for improved diagnosis to aid in treatment and improve clinical outcomes.

项目总结/文摘