Brief Montreal-Toulouse Language Assessment Battery: adaptation and content validity
Bibliographic record
Abstract
BACKGROUND: Evaluating patients in the acute phase of brain damage allows for the early detection of cognitive and linguistic impairments and the implementation of more effective interventions. However, few cross-cultural instruments are available for the bedside assessment of language abilities. The aim of this study was to develop a brief assessment instrument and evaluate its content validity. METHODS: Stimuli for the new assessment instrument were selected from the M1-Alpha and MTL-BR batteries (Stage 1). Sixty-five images were redesigned and analyzed by non-expert judges (Stage 2). This was followed by the analysis of expert judges (Stage 3), where nine speech pathologists with doctoral training and experience in aphasiology and/or linguistics evaluated the images, words, nonwords, and phrases for inclusion in the instrument. Two pilot studies (Stage 4) were then conducted in order to identify any remaining errors in the instrument and scoring instructions. RESULTS: Sixty of the 65 figures examined by the judges achieved inter-rater agreement rates of at least 80%. Modifications were suggested to 22 images, which were therefore reanalyzed by the judges, who reached high levels of inter-rater agreement (AC1 = 0.98 [CI = 0.96-1]). New types of stimuli such as nonwords and irregular words were also inserted in the Brief Battery and favorably evaluated by the expert judges. Optional tasks were also developed for specific diagnostic situations. After the correction of errors detected in Stage 4, the final version of the instrument was obtained. CONCLUSION: This study confirmed the content validity of the Brief MTL-BR Battery. The method used in this investigation was effective and can be used in future studies to develop brief instruments based on preexisting assessment batteries.
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".