Single-Subject RCT Dashboard

N-of-1 (Single-Subject Randomized Controlled Trial): Test whether intervention A (e.g., music) helps THIS specific child

Example: Does Music Help During Tasks?

Baseline (Week 1)

No music

Measure performance without intervention

Avg: 70.8%
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Intervention (Week 2)

With music (120 bpm classical)

Introduce intervention

Avg: 79.0%
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Baseline Return (Week 3)

No music (verify effect)

Remove intervention to confirm causality

Avg: 70.6%
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Analysis Results

Effect Size

+8.2 percentage points

Confidence

High (score dropped when music removed)

Conclusion

Music is effective for THIS child

Variability

Low baseline variability = clear effect

Methodology (ABA-B Design)
  1. 1. Baseline: Measure WITHOUT intervention (5-7 days)
  2. 2. Intervention: Introduce (5-7 days)
  3. 3. Baseline Return: Remove to verify (5-7 days)
  4. 4. Optional Reintroduction: Add again to triple-check
  5. 5. Calculate effect size = (Intervention avg) - (Baseline avg)

💡 Why this matters: Population studies (Aspirin helps 30% of people) don't tell you if Aspirin helps YOU. N-of-1 RCTs do.

Possible Interventions to Test

🎵 Background music (tempo, genre)

🎧 White noise vs silence

⏰ Breaks every 15min vs 25min

🛋️ Standing vs sitting

🌅 Time of day (morning vs afternoon)

👥 Solo vs peer presence

💡 Bright lighting vs dim

🧘 5-min breathing before task

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