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Cue Validity Uninformative Base Flag Tool

Calculate cue validity uninformative base flag from explicit caller-supplied inputs.

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Description

Compare cue correctness with a baseline and tolerance.

Cognitive research records can encode stimuli, response timing, probability assumptions and observation support. Local differences and caller-defined tolerance labels do not establish perceptual validity, a cognitive mechanism, statistical equivalence or a clinical assessment.

Compare cue correctness with a baseline and tolerance.

When to use this tool

Use Cue Validity Uninformative Base Flag when checking a supplied cognitive-task timing, stimulus, probability or evidence convention.

How to use the tool and how it works

  1. Enter cueCorrect, baseCorrect, tolerance. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read gap, uninformative. Inspect uninformative before interpreting the associated values.

Compare cue correctness with a baseline and tolerance. Require cueCorrect/baseCorrect in [0,1] and tolerance >= 0; gap = cue-base, uninformative means abs(gap) <= tolerance.1

Input fieldMeaning and unitsAccepted input
cueCorrectCue CorrectRequired. Finite number; minimum 0; maximum 1.
baseCorrectBase CorrectRequired. Finite number; minimum 0; maximum 1.
toleranceNonnegative caller-selected comparison tolerance, in matching units.Required. Finite number; minimum 0.
Output fieldInterpretationReturned shape
gapSigned difference under the stated comparison convention, with matching units.Required. Finite number.
uninformativeabs(cueCorrect-baseCorrect) <= supplied tolerance; local label, not a statistical equivalence conclusion.Required. Boolean.
json
{
  "input": {
    "cueCorrect": 0.5,
    "baseCorrect": 0.5,
    "tolerance": 0
  },
  "output": {
    "gap": 0,
    "uninformative": true
  }
}

Limitations and assumptions

  • This is a supplied tolerance label, not a statistical equivalence test, evidence of no information or a cognitive diagnosis.
  • Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
  • Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.

Alternative or Complementary methods

Use a validated study design, calibrated measurements and appropriate statistical/professional interpretation for cognitive or health conclusions.

References

  1. Calculation and input contract: cognitive-science/cue-validity-uninformative-base-flag — tool.io

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