Power Analysis for a Proposed Group Randomized Control Trial (GRCT) on the Road to Mental Readiness (R2MP) Program
Bibliographic record
Abstract
Abstract : The Road to Mental Readiness (R2MR) program is the largest mental health training initiative in the Canadian Armed Forces (CAF). As part of an effort to test the efficacy of R2MR at Basic Military Qualification (BMQ) with a group randomized control trial (GRCT), we conducted a robust power analysis to determine the sample size that would be required for the GRCT on R2MR. We also calculated intraclass correlation coefficients (ICCs) for the outcomes that will be measured in the GRCT, a necessary preliminary step for the power analysis. Data from the calculation of the ICCs were extracted from multiple programs of ongoing research with the Non-Commissioned Member (NCM) recruits, the intended target population for the GRCT. The results of our analyses suggest that data collected over the course of one full fiscal year will yield sufficient statistical power to detect expected effect sizes for most but not all of our outcomes. We therefore recommend data collection lasting up to one and a half years for the proposed GRCT on R2MR.
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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 | 0.376 | 0.602 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.011 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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".