Turkish Version of the Video‐Naming Test for Assessing Verb Anomia (DVAQ‐30): Normative Data for the Adult Turkish Population and Validation Study in Mild Cognitive Impairment and Alzheimer's Disease
Bibliographic record
Abstract
OBJECTIVE: Compared to nouns, the impairment of the capacity of retrieving verbs in spoken production is much less documented. In the clinical field, there are also very few tests that have been developed specifically for verb anomia. Clinicians and researchers lack a concise and practical naming test to assess verb anomia, a condition that can occur in adults and the elderly due to various factors. The aim of this study was to adapt the Quebec Action Video Naming Test-30 items (DVAQ-30) into Turkish, establish its validity and develop normative data adapted to the Turkish population. METHOD: This research consists of three studies. In Study 1, the DVAQ-30 was linguistically and culturally adapted to the Turkish language, resulting in the DVAQ-TR. In Study 2, a group of adults and older Turkish-speaking people were assessed with the DVAQ-TR to obtain normative data. In Study 3, the psychometric properties of the DVAQ-TR (known-group discriminant validity and convergent validity) were investigated by comparing the performance of healthy individuals and patients with mild cognitive impairment (MCI) or with Alzheimer's disease (AD). RESULTS: Normative data were obtained based on the performance of 424 participants aged between 18 and 81 years. The percentiles were stratified according to the sociodemographic influencing variables of age, sex and level of education. The DVAQ-TR had good convergent validity and distinguished the performance of healthy participants from that of participants with MCI or AD. CONCLUSIONS: The DVAQ-TR fills an important gap and has the capacity to assist clinicians and researchers in more accurately identifying acquired verb anomia, including in people with MCI or AD. WHAT THIS PAPER ADDS: What is already known on this subject Verb anomia is a frequent symptom in various neurocognitive disorders, yet it remains under-assessed in clinical settings, especially compared to noun naming. Existing tools in Turkish primarily focus on object naming and often rely on static images, which may not effectively capture action concepts. Recent studies suggest that video-based assessments provide a more ecologically valid approach to verb naming evaluation. What this study adds to existing knowledge This study presents the Turkish adaptation and validation of the DVAQ-30, a video-based verb naming test, offering culturally and linguistically appropriate normative data for Turkish-speaking adults and elderly individuals. It also demonstrates that the DVAQ-TR successfully differentiates between healthy controls and individuals with MCI or Alzheimer's disease and shows good convergent validity with the Boston Naming Test. These findings highlight the clinical utility of the DVAQ-TR in detecting verb anomia in Turkish-speaking populations. What are the clinical implications of this study? The DVAQ-TR provides clinicians with a quick, valid, and culturally sensitive tool for assessing verb anomia in adults with suspected neurocognitive impairments. It enhances diagnostic accuracy and may inform tailored language intervention strategies in individuals with MCI and Alzheimer's disease. The availability of Turkish normative data ensures accurate interpretation of test results across different age, sex, and education groups.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".