Cross Education Gain
Measure observed change in the untrained limb; does not establish a causal mechanism.
Description
Untrained-limb gain reports observed before/after change.
Untrained-limb gain reports observed before/after change. The calculation alone cannot establish cross-education as its cause.1
Measure observed change in the untrained limb; does not establish a causal mechanism.
When to use Cross Education Gain
Use this tool to measure observed change in the untrained limb; does not establish a causal mechanism.
Prepare the measured movement, timing, load or preassigned score requested. Keep protocols, units, paired measurements and caller-selected thresholds consistent.
How to use Cross Education Gain and understand its results
- Prepare the measured movement, timing, load or preassigned score requested. Keep protocols, units, paired measurements and caller-selected thresholds consistent.
- Enter untrainedLimbBefore, untrainedLimbAfter using the field table and calculation rules, then run the tool.
- Read absoluteGain, percentGain. The explanation below defines the units, signs, ordering and any flags or placeholder values.
- If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
| Input field | Meaning | Value type; see rules below | Requirement |
|---|---|---|---|
| untrainedLimbBefore | Untrained limb before | number | Required |
| untrainedLimbAfter | Untrained limb after | number | Required |
Enter positive baseline and nonnegative follow-up result on the same strength basis. Return signed absolute and percent gain.
gain=after−before; percent=100gain/before Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| absoluteGain | Absolute gain | number |
| percentGain | Percent gain | number |
{
"input": {
"untrainedLimbBefore": 40,
"untrainedLimbAfter": 50
},
"output": {
"absoluteGain": 10,
"percentGain": 25
}
}Limitations and assumptions
No control group, uncertainty or mechanism is assessed.
Numeric inputs must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.
Alternative or Complementary methods
Use Limb Symmetry Index: Calculate limb symmetry index from the supplied measurements. For a complementary task, use Bilateral Strength Deficit: Compare bilateral force with summed unilateral force to quantify deficit or facilitation.
References
-
Cross Education Gain — tool.io
Similar or alternative tools
- Limb Symmetry Index
Calculate limb symmetry index from the supplied measurements.
- Bilateral Strength Deficit
Compare bilateral force with summed unilateral force to quantify deficit or facilitation.