Interrater and Intrarater Reliability and Validity of 3 Measurement Methods for Shoulder-Position Sense
Bibliographic record
Abstract
CONTEXT: Joint-position sense (JPS) plays a critical role in the stability of shoulder joint. Restoration of JPS is essential to improve rehabilitation outcomes in individuals with shoulder injury. However, the number of affordable and reliable shoulder-JPS measurement methods for everyday clinical practice is limited. OBJECTIVE: To estimate reliability and validity of 3 simple shoulder-JPS measurement methods. DESIGN: Cross-sectional study. PARTICIPANTS: 25 healthy men and women. MAIN OUTCOME MEASURE: Absolute-error scores of JPS in 3 ranges of shoulder flexion (low, mid, and high), measured with a laser pointer, an inclinometer, and a goniometer in 2 separate sessions (48 h apart). RESULTS: Overall interrater and intrarater intraclass correlation coefficients were .86 and .78 for the laser pointer, .67 and .70 for the inclinometer, and .60 and .50 for the goniometer, respectively. There was excellent reliability in the low range for the laser pointer and inclinometer methods, but fair to good and poor reliability in mid- and high ranges, respectively. All methods showed strong validity. CONCLUSION: The laser pointer and inclinometer JPS measurement methods are reliable and can be used by clinicians during rehabilitation of shoulder injuries.
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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 | 0.055 | 0.101 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".