Performance on the Verbal Naming Test among healthy, community-dwelling older adults
Bibliographic record
Abstract
Objective: The Verbal Naming Test (VNT) is a nonvisual measure of word finding with stimuli chosen based on rare frequency of usage in spoken English. The purpose of the current study was to evaluate the psychometric properties of the VNT and test the feasibility of telephone administration. In addition, regression-based normative data were obtained for the VNT as well as other measures.Method: Eighty-one community-dwelling older adults 61–92 years old (mean = 74.19 years) completed the VNT, the Naming subtests of the Neuropsychological Assessment Battery (NAB), the WIAT-III Sentence Repetition subtest, and the Montreal Cognitive Assessment (MoCA).Results: As evidence of construct validity, the VNT had large correlations with the NAB Naming test and medium correlations with the MoCA and WIAT-III Sentence Repetition test. Cronbach’s alpha in this sample was 0.621. Age, education, and gender were entered into linear regression equations and regression-based normative equations are presented. Lastly, administration of the VNT over the telephone was found to be feasible.Conclusions: The VNT is a valid measure of naming among community-dwelling older adults. Regression-based normative data for the measure will enable its use in the neuropsychological assessment of naming with a wide range of older adults.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".