Factor Structure of the Motor-Free Visual Perception Test-3rd Edition (MVPT-3)
Bibliographic record
Abstract
BACKGROUND: The Motor-Free Visual Perception Test-3rd edition (MVPT-3) is commonly used to assess the visual perceptual functioning of adults. MVPT-3 users need to be knowledgeable about its factor structure and dimensionality. PURPOSE: To investigate the factor structure and dimensionality of the MVPT-3 when used with adults with and without neurological impairment. METHODS: The MVPT-3 scores of 221 participants aged 20+ years (49 with and 172 without neurological impairment) were used to complete a principal components analysis of the MVPT-3 scale. FINDINGS: The MVPT-3 test items loaded upon 11 viable factors, accounting for 58.15% of the test's total variance. IMPLICATIONS: The MVPT-3 exhibited multidimensionality instead of the predicted unidimensionality and therefore may not be an appropriate measure of overall visual perceptual ability in its current format. Consequently, healthcare professionals who use the MVPT-3 to assess the visual perception of their clients should exercise caution when attempting to interpret its results.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".