Hop Test Limb Symmetry Index≥90% Criterion

Actual matched hop-battery results using existing limb-symmetry calculation; each result retains nominal≥90criterion separately, not automatically clear return to sport or detect bilateral deficits. Distance/time direction and same task convention caller verified.

Description

Hop limb-symmetry index compares involved and matched uninvolved performance.

Hop limb-symmetry index compares involved and matched uninvolved performance.1

The nominal ninety-percent screen does not establish readiness to return to sport. Use this tool to calculate the stated observation or conditional model from supplied measurements.

When to use Hop Test Limb Symmetry Index≥90% Criterion

Use this tool to calculate the stated observation or conditional model from supplied measurements. Establish the measurement protocol, instrument or reference edition, matching units and observation context.

How to use Hop Test Limb Symmetry Index≥90% Criterion and understand its results

  1. Establish the measurement protocol, instrument or reference edition, matching units and observation context.
  2. Enter independentlyMeasuredInvolvedHopResults, independentlyMatchedUninvolvedHopResults, using the field meanings and rules below, then run the tool.
  3. Read result.observedHopLimbSymmetryPercents, result.atOrAboveNominalNinetyFlags. Interpret each field using the units, signs and evidence rules below.
  4. If input validation fails, correct the reported field and run again. Before applying a successful result, check the stated reference scope, units, assumptions and any retained unknown evidence.
Input fieldMeaningValue typeRequirement
independentlyMeasuredInvolvedHopResultsIndependently measured involved hop resultslist of numberRequired
independentlyMatchedUninvolvedHopResultsIndependently matched uninvolved hop resultslist of numberRequired

Supply nonempty aligned involved and uninvolved hop-result lists. Involved results must be nonnegative and matched reference results positive. Calculate 100×involved/uninvolved for each pair and return binary flags for percentage≥90. Ratios above 100 are allowed; no rounding, bilateral-baseline correction or clearance decision is supplied. Use an outcome direction compatible with this ratio.2

LSIpercent_i=100×involved_i/uninvolved_i; nominalFlag_i=LSIpercent_i≥90 ? 1 : 0

Apply the field units and exact ordering, boundary and evidence rules above.

Output fieldMeaningValue type
resultStructured result containing the calculation or selected reference fields belowobject
result.observedHopLimbSymmetryPercentsPer-pair 100 times involved measurement divided by uninvolved measurementlist of number
result.atOrAboveNominalNinetyFlagsPer-pair 0/1 flags for symmetry at least 90 percentlist of number
json
{
  "input": {
    "independentlyMeasuredInvolvedHopResults": [
      90,
      80
    ],
    "independentlyMatchedUninvolvedHopResults": [
      100,
      100
    ]
  },
  "output": {
    "result": {
      "observedHopLimbSymmetryPercents": [
        90,
        80
      ],
      "atOrAboveNominalNinetyFlags": [
        1,
        0
      ]
    }
  }
}

Limitations and assumptions

The nominal ninety-percent screen does not establish readiness to return to sport. Results depend on the independently established measurement basis and the exact model assumptions above.

Every listed input requires an explicit value. Unexpected fields, incorrect value types, nonfinite numbers and sparse numeric arrays fail validation; tool-specific bounds and alignment rules apply as described above. Extremely large inputs or outputs can also be rejected. An input error is distinct from a successful calculation that reports a false comparison or retains unknown evidence.

Alternative or Complementary methods

Use Standing Long Jump Distance Cm Norms Lookup to examine a related aspect: Standing long-jump references depend on takeoff, landing and distance conventions.

Use Broad to Vertical Jump Correlation Reference Lookup where its separate inputs and scope apply: Broad- and vertical-jump correlations depend on the measured cohort and protocols.

References

  1. Hop Test Limb Symmetry Index≥90% Criterion — tool.io

  2. Limb Symmetry Index — tool.io

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