Interrater reliability and convergent validity of the American Academy for Cerebral Palsy and Developmental Medicine methodology for conducting systematic reviews
Bibliographic record
Abstract
AIM: The aim of this study was to evaluate the interrater reliability and convergent validity of the American Academy for Cerebral Palsy and Developmental Medicine's (AACPDM) methodology for conducting systematic reviews (group design studies). METHOD: Four clinicians independently rated 24 articles for the level of evidence and conduct using AACPDM methodology. Study conduct was also assessed using the Effective Public Health Practice Project scale. Raters were randomly assigned to one of two pairs to resolve discrepancies. The level of agreement between individual raters and pairs was calculated using kappa (α=0.05) and intraclass correlations (ICCs; α=0.05). Spearman's rank correlation coefficient was calculated to evaluate the relationship between raters' categorization of quality categories using the two tools. RESULTS: There was acceptable agreement between raters (κ=0.77; p<0.001; ICC=0.90) and between assigned pairs (κ=0.83; p<0.001; ICC=0.96) for the level of evidence ratings. There was acceptable agreement between pairs for four of the seven conduct questions (κ=0.53-0.87). ICCs (all raters) for conduct category ratings (weak, moderate, and strong) also indicated good agreement (ICC=0.76). Spearman's rho indicated a significant positive correlation for the overall quality category comparisons of the two tools (0.52; p<0.001). CONCLUSIONS: The AACPDM rating system has acceptable interrater reliability. Evaluation of its study quality ratings demonstrated reasonable agreement when compared with a similar tool.
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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 | 0.473 | 0.628 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.006 |
| Bibliometrics | 0.015 | 0.009 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".