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Secondary: strength tests (1RM squat/bench), functional performance (vertical jump). Statistical Analysis Mixed‑effects ANOVA or repeated measures ANCOVA controlling for baseline values. Significance set at p < 0.05. Sample Size Calculation Power analysis using expected effect size from meta‑analysis (e.g., d = 0.5) to determine n needed per group (≈30–40). By adhering to rigorous methodological standards—randomization, blinding, objective outcome measures, and appropriate statistical power—the study would produce high‑confidence evidence on the efficacy of protein supplementation for improving strength, muscle mass, and athletic performance. This evidence could then inform coaching decisions, nutrition guidelines, and policy recommendations in sports science. --- 5. 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Workshops for intervention design; iterative prototyping; cultural adaptation of materials. 4. Implementation & Scale‑up Execute the adapted program with fidelity while allowing flexibility for ongoing improvement. Training of facilitators; community mobilization; resource allocation. 5. Monitoring, Evaluation & Learning Track outcomes, process metrics, and emergent insights to inform continuous refinement. Mixed‑methods evaluation (surveys + focus groups); dashboards; feedback loops to implementers. --- 3. Detailed Step‑by‑Step Framework Phase A – Preparation & Evidence Gathering Define Goals & Scope Target population, geographic area, time horizon. Literature Scan Systematic search of peer‑reviewed studies, grey literature, policy briefs. Stakeholder Mapping Identify government ministries (health, education, agriculture), NGOs, private sector partners, community groups, academic institutions. 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