Examining the measurement equivalence of Alzheimer’s Disease Centre Neuropsychological Test Battery (Version 3) across two distinct cultures
Bibliographic record
Abstract
Abstract Background Neuropsychological assessments are important in clinical diagnostic process for dementia as it help early detection of cognitive difficulties. Prior to using neuropsychological test batteries across different populations, it is critical to standardize the battery to ensure consistency in the assessment process, as well as valid and comparable results across different settings. The Alzheimer’s Disease Centre Neuropsychological Test Battery (Version 3) (ADCNTB3) is a widely used battery that had shown sensitivity in detecting cognitive decline in MCI and early dementia, with minimal test repetition effects (Boccardi et. al., 2022). While norms are available in America, harmonization efforts are currently in place to adapt ADCNTB3 for European populations. Method This study examined whether ADCNTB3 could be adapted to Singapore (multi‐ethic Asian population), a culture distinctly different from America, and whether ADCNTB3 demonstrates measurement equivalence when adapted to the Singapore population. Following the qualitative process of cultural adaptation, the ADCNTB3 was administered to 266 community‐dwelling older persons with normal cognition in Singapore. Scores from these participants were then compared with 1064 random samples with normal cognition from National Alzheimer’s Coordinating Centre (NACC) to evaluate whether the ADCNTB3 has equivalent scores across the two distinct populations. Score‐difference between the 2 populations was computed using multiple linear regression (adjusted for age, education, gender, family history of dementia, cardiovascular conditions, psychiatric and neurological history, smoking, untreated hearing loss, obesity, MoCA total score, CDR sum of boxes, NPI‐Q total score) and equivalence scores are considered to be present if the 90% confidence interval of the adjusted score‐difference fall within the equivalence margin. A priori, we defined the equivalence margin as 0.5 Standard Deviation of tests from ADCNTB3, as this often defines the minimally important clinical significance (Sloan et al., 2005). Result Other than working and delayed memory tasks, all other tests from the ADCNTB3 are not directly equivalent. Notably, Asians performed better in visuospatial task, but consistently performed poorer in most other tasks. Conclusion Other than working and delayed memory tasks, all other tests from the ADCNTB3 are not directly equivalent. Notably, Asians performed better in visuospatial task, but consistently performed poorer in most other tasks.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".