The MIQ‐RS: A Suitable Option for Examining Movement Imagery Ability
Bibliographic record
Abstract
Within rehabilitation settings, mental imagery helps to promote long-term recovery and facilitates compliance to rehabilitation exercises. Individuals who are able to effectively engage in imagery practice are likely to gain the most benefit from imagery training. Thus, a suitable imagery ability measurement tool for individuals with movement limitations is needed. The purpose of the present study was to evaluate the Movement Imagery Questionnaire-Revised second version (MIQ-RS), and compare the results of this new version with Hall and Martin's (1997) MIQ-R. Three-hundred and twenty participants from a variety of sports and performance levels agreed to take part. Results showed the internal consistency and test-retest reliability of the MIQ-RS were satisfactory, the two-factor structure of the MIQ-RS was supported by confirmatory factor analysis, and Pearson correlations indicated a strong relationship between the MIQ-R and MIQ-RS. It appears the MIQ-RS is a suitable option for examining movement imagery ability primarily aimed at the upper extremity.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".