Purpose: Core lexicon measures have received growing attention in research. They are intended to provide clinicians with a clinician-friendly means to quantify word retrieval ability in discourse based on normal expectations of discourse production for specific discourse elicitation tasks. To date, different criteria have been used to develop core lexicon measures by groups of researchers. The need for statistical guidance in pursuit of the psychologically robust measure has been recognized.
Aims: This study was to investigate the best criterion for accurate measurement. Specifically, we focused on two criteria ( vs. ) that have previously been used for the development of core lexicon measures.
Method: Core lexicon measures consisting of five different checklists by word class (verbs, nouns, adjectives, adverbs, and function words) and developed by the two criteria were applied to language samples produced by 470 cognitively healthy adults. Performance in word retrieval ability at the discourse level was modeled as a latent variable based on the observed proportions of the production of core lexicon items in two different sets of core lexicon measures using structural equation modeling.
Results: Results indicated that both criterion for core lexicon measures capture word retrieval ability in discourse. Greater residual variances were found in the core lexicon measure established by the percentage criterion compared to the one established by the frequency criterion. This indicates that the measure based on the percentage criterion is more affected by measurement errors.
Conclusions: The findings provide evidence that the frequency criterion is better to use for the development of core lexicon measures for core nouns, verbs, adjectives, and adverbs, but not for function words. However, our findings are limited to core lexicon measures based on language samples elicited by wordless picture books. This may not be easily applied to other core lexicon measures that use different discourse elicitation tasks due to the difference in quality and quantity of language samples. Ideally, the same approach should be replicated to evaluate the appropriateness of respective criteria in the development of core lexicon measures.
Supplemental Material: https://doi.org/10.23641/asha.20304144.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911116 | PMC |
| http://dx.doi.org/10.1044/2022_JSLHR-20-00722 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The nitrogenase mechanism: new roles for the dangler?
J Biol Inorg Chem
December 2024
Division of Chemistry and Chemical Engineering, Howard Hughes Medical Institute, California Institute of Technology, 147-75, Pasadena, CA, 91125, USA.
Dangler sites protruding from a core metallocluster were introduced into the bioinorganic lexicon in 2000 by R.D. Britt and co-workers in an analysis of the tetramanganese oxygen-evolving cluster in photosystem II.
View Article and Find Full Text PDFBackground: Adavosertib is a first-in-class, selective small-molecule inhibitor of Wee1. Olaparib is an inhibitor of poly(ADP-ribose) polymerase (PARP). Preclinical data suggest that adavosertib enhances the antitumor effect of PARP inhibitors.
View Article and Find Full Text PDFAutomated Identification of Heart Failure With Reduced Ejection Fraction Using Deep Learning-Based Natural Language Processing.
JACC Heart Fail
October 2024
Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA; Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, Connecticut, USA. Electronic address:
Background: The lack of automated tools for measuring care quality limits the implementation of a national program to assess guideline-directed care in heart failure with reduced ejection fraction (HFrEF).
Objectives: The authors aimed to automate the identification of patients with HFrEF at hospital discharge, an opportunity to evaluate and improve the quality of care.
Methods: The authors developed a novel deep-learning language model for identifying patients with HFrEF from discharge summaries of hospitalizations with heart failure at Yale New Haven Hospital during 2015 to 2019.
Structure-Based Probe Reveals the Presence of Large Transthyretin Aggregates in Plasma of ATTR Amyloidosis Patients.
JACC Basic Transl Sci
September 2024
Center for Alzheimer's and Neurodegenerative Diseases, Department of Biophysics, Peter O'Donnell Jr Brain Institute, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Amyloidogenic transthyretin (ATTR) amyloidosis is a relentlessly progressive disease caused by the misfolding and systemic accumulation of amyloidogenic transthyretin into amyloid fibrils. These fibrils cause diverse clinical phenotypes, mainly cardiomyopathy and/or polyneuropathy. Little is known about the aggregation of transthyretin during disease development and whether this has implications for diagnosis and treatment.
View Article and Find Full Text PDFArticle Synopsis
- Right ventricular dysfunction (RVD) affects 30-40% of patients experiencing acute myocardial infarction and cardiogenic shock, leading to concerns about their survival outcomes when treated with left ventricular mechanical support.
- A study conducted across 80 sites analyzed 361 patients, finding that 28% had RVD, which correlated with lower survival rates to discharge (61.8% vs. 73.4%) and higher instances of severe shock and active CPR during treatment.
- Despite initial lower survival for RVD patients, hemodynamic parameters measured within 24 hours showed no significant differences between those with and without RVD, indicating that early left ventricular support may not immediately affect RV function.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!