Validity of the<i>Motor-Free Visual Perceptual Test—Revised (MVPT-R)</i>: An Item Response Analysis
Bibliographic record
Abstract
Abstract Background: Visual perceptual skills of children are often evaluated. The Motor-Free Visual Perception Test-Revised (MVPT-R) is one of the most frequently used tests with school-age children even though its construct validity has not been thoroughly evaluated. Aim/Purpose: The purpose of the study was to evaluate the scalability/interval level measurement, unidimensionality, lack of differential item functioning (DIF), and hierarchical ordering of items of the MVPT-R. Method: The visual perceptual performance scores from a sample of 356 normally developing children (171 boys and 185 girls) ranging in age from 5 to 11 years were used to complete a Rasch Measurement Model (RMM) analysis of the MVPT-R. Results: When the MVPT-R was analyzed using the RMM, it exhibited adequate measurement properties (scalability/interval level measurement, unidimensionality, lack of DIF, and hierarchical ordering). However, many MVPT-R scale items exhibited RMM misfit or DIF. Conclusion: The construct validity, scalability, hierarchical ordering, and lack of DIF requirements were met by the final version of the of the MVPT-R scale. However, given the fact that a number of items exhibited RMM misfit or DIF, clinicians need to take this into consideration when using the MVPT-R in its current form. Keywords: visual perceptionassessmentchildrenvalidity Acknowledgments Acknowledgements are extended to three organizations whose funding grants made this study possible: (1) the Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada; (2) the Bloorview Children's Hospital Foundation, Toronto, Ontario, Canada; and the (3) the Canadian Occupational Therapy Foundation, Ottawa, Ontario, Canada. Thanks are also extended to the children who volunteered to take part in the study by completing the visual perceptual instruments.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".