Combined Statistics
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Overview
Your study at a glance
These opening numbers summarize your participation in the study. They give you a quick sense of how often you checked in, how much you logged, and how much data you contributed overall.
Each section below focuses on one part of the story at a time.
Context
How the study looked overall
These visuals step back from your personal totals and show the broader study context. First you can see the average group differences, then the related participation patterns that shaped the study dataset.
G1 vs G2 — Average metrics
G1 (experimental)
G2 (control)
Idle.
Research
G1 vs G2 chart always shows both groups · others follow group filter
EXP vs CON Delta Load Volume (Baseline = Week 1)
Computing weekly delta load-volume comparison…
RAI Analysis (Pre vs Post)
Computing RAI summary…
Checking NULL values…
| Group | Pre mean ± SD | n ΔMid | ΔMid mean ± SD | n ΔPost | ΔPost mean ± SD |
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Preparing per-user visualization summary...
| Participant | Group | Week | Days Logged | Sets Logged | DOMS Logged | Load Volume |
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6-Week EXP vs CON Study Dashboard
Interpretation-first view. Effect patterns are shown with p-values and conservative language.
Key Findings
RAI Pre/Post (No Differential Change)
| Analysis | RM ANOVA |
| Outcome | RAI PRE-POST |
| Target | Group × Time |
| Group p | 0.934 |
| Time p | 0.098 |
| Interaction p | 0.570 |
| Note | Mid shown visually only |
Totals: EXP vs CON
Days Logged
| Analysis | Welch / MWU |
| Outcome | Days total |
| EXP mean | 10.20 |
| CON mean | 5.67 |
| EXP SD | — |
| CON SD | — |
| Welch p | 0.089 |
| MWU p | 0.227 |
Sets Logged
| Analysis | Welch / MWU |
| Outcome | Sets total |
| EXP mean | 108.00 |
| CON mean | 80.33 |
| EXP SD | — |
| CON SD | — |
| Welch p | 0.478 |
| MWU p | 0.766 |
DOMS Logged
| Analysis | Welch / MWU |
| Outcome | DOMS total |
| EXP mean | 8.40 |
| CON mean | 5.00 |
| EXP SD | — |
| CON SD | — |
| Welch p | 0.325 |
| MWU p | 0.371 |
Weekly Trajectories (Weeks 1-6)
Days Logged (week effect, non-significant interaction)
| Analysis | Mixed model |
| Outcome | Days by week |
| Target | Group × Week |
| Group p | 0.147 |
| Week p | 0.002 |
| Interaction p | 0.202 |
Sets Logged (significant group × week interaction)
| Analysis | Mixed model |
| Outcome | Sets by week |
| Target | Group × Week |
| Group p | 0.481 |
| Week p | 0.002 |
| Interaction p | 0.019 |
DOMS Logged (significant group × week interaction)
| Analysis | Mixed model |
| Outcome | DOMS by week |
| Target | Group × Week |
| Group p | 0.371 |
| Week p | 0.001 |
| Interaction p | 0.030 |
Per-user Statistics
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| User | Username | Group | Feedback days | Total sets | Feedback count | Total logged DOMS | Total logged pain events | Latest pain_flag | Latest DOMS_NRS | Latest Pain_NRS | Latest feedback at |
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Selected User vs Study Averages
Your participant metrics will be compared against All, G1, and G2 averages.
Statistics & Timeline
Your participant summary and workout timeline will appear here after your dashboard data loads
Your workout timeline will appear here once participant data is available.
Category Load Volume (Weeks 1-6)
Per-user and per-category load volume from each user's first logged workout (local day buckets)
Group summary (mean weekly category load): G1 vs G2
Selected user vs study averages (selected category)
Your weekly category load will be compared against All, G1, and G2 means.
Selected user category load profile (total 6-week load)
Your six-week category load profile will be compared against All, G1, and G2 totals.
No category load data available for the current filter.
| User | Group | Category | Week 1 | Week 2 | Week 3 | Week 4 | Week 5 | Week 6 | Total (6 weeks) |
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Waiting for data.