ArticlePsychological assessment2018
A cognitive psychometric model for assessment of picture naming abilities in aphasia.
Article in Psychological assessment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Transcranial direct current stimulation (tDCS) for improving aphasia in adults with aphasia after stroke.The Cochrane database of systematic reviews · 2019Pooled it
- From structure to sequence: A multinomial processing tree model of syntactic encoding.Psychonomic bulletin & review · 2026Article
- Digital MULTIMAP: a standardization of objects and actions naming task in a french population.Acta neurochirurgica · 2026Article
- Naming practice effects and inconsistencies relate to treatment outcome in people with aphasia.Neuropsychologia · 2025Article
- Assessing Relative Linguistic Impairment With Model-Based Item Selection.Journal of speech, language, and hearing research : JSLHR · 2024Article
- Defining aphasia: Content analysis of six aphasia diagnostic batteries.Cortex; a journal devoted to the study of the nervous system and behavior · 2023Article
- Accuracy of Naming Error Profiles Elicited From Adaptive Short Forms of the Philadelphia Naming Test.Journal of speech, language, and hearing research : JSLHR · 2023Article
- The Severity-Calibrated Aphasia Naming Test.American journal of speech-language pathology · 2022Article
- Assessing naming errors using an automated machine learning approach.Neuropsychology · 2022Article
- The effects of multiple linguistic variables on picture naming in American Sign Language.Behavior research methods · 2022Article
- Beyond Percent Correct: Measuring Change in Individual Picture Naming Ability.Journal of speech, language, and hearing research : JSLHR · 2022Article
- Exploring the Complexity of Aphasia With Network Analysis.Journal of speech, language, and hearing research : JSLHR · 2021Article
- A Cognitive Psychometric Investigation of Word Production and Phonological Error Rates in Logopenic Progressive Aphasia.American journal of speech-language pathology · 2021Article
- Connections and selections: Comparing multivariate predictions and parameter associations from latent variable models of picture naming.Cognitive neuropsychology · 2021Article
- Modeling Intensive Polytomous Time-Series Eye-Tracking Data: A Dynamic Tree-Based Item Response Model.Psychometrika · 2020Article
- Neural organization of speech production: A lesion-based study of error patterns in connected speech.Cortex; a journal devoted to the study of the nervous system and behavior · 2019Article
- Multivariate Approaches to Understanding Aphasia and its Neural Substrates.Current neurology and neuroscience reports · 2019Review
- Enhancing the Efficiency of Confrontation Naming Assessment for Aphasia Using Computer Adaptive Testing.Journal of speech, language, and hearing research : JSLHR · 2019Article
- Neuroanatomical structures supporting lexical diversity, sophistication, and phonological word features during discourse.NeuroImage. Clinical · 2019Article
- Assessing Language Skills Using Diagnostic Classification Models: An Example Using a Language Instrument.International journal of psychological researchArticle
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Picture naming impairments are a typical feature of stroke-induced aphasia. Overall accuracy and rates of different error types are used to make inferences about the severity and nature of damage to the brain's language network. Currently available assessment tools for picture naming accuracy treat it as a unidimensional measure, while assessment tools for error types treat items homogenously, contrary to findings from psycholinguistic investigations of word production. We created and tested a new cognitive psychometric model for assessment of picture naming responses, using cognitive theory to specify latent processing decisions during the production of a naming attempt, and using item response theory to separate the effects of item difficulty and participant ability on these internal processing decisions. The model enables multidimensional assessment of latent picture naming abilities on a common scale, with a relatively large cohort for normative reference. We present the results of 4 experiments testing our interpretation of the model's parameters, as they apply to picture naming predictions, lexical properties of the items, statistical properties of the lexicon, and participants' scores on other tests. We also created a website for researchers and clinicians to analyze item-level data using our model, providing estimates of latent abilities and percentile scores, as well as credible intervals to help gauge the reliability of the estimated model parameters and identify meaningful changes. To the extent that the model is successful, the estimated parameter values may aid in treatment decisions and progress monitoring, or they may help elucidate the functional properties of brain networks. (PsycINFO Database Record
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.