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Retention Ceiling Normalizer Tool

Calculate retention ceiling normalizer from explicit caller-supplied inputs.

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Description

remainingHeadroom = ceiling-before; normalizedChange = (after-before)/remainingHeadroom.

A change score can be expressed as raw difference, retention ratio or fraction of remaining headroom. These denominators answer different questions, and descriptive change does not by itself establish a causal learning effect.

remainingHeadroom = ceiling-before; normalizedChange = (after-before)/remainingHeadroom.

When to use this tool

Use Retention Ceiling Normalizer when checking a specified retention or ceiling-relative gain convention.

How to use the tool and how it works

  1. Enter before, after, suppliedCeiling. 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 remainingHeadroom, normalizedChange. Use the output convention below.

Require suppliedCeiling > before and after <= suppliedCeiling. remainingHeadroom = ceiling-before; normalizedChange = (after-before)/remainingHeadroom.1

Input fieldMeaning and unitsAccepted input
beforeBeforeRequired. Finite number.
afterAfterRequired. Finite number.
suppliedCeilingSupplied CeilingRequired. Finite number.
Output fieldInterpretationReturned shape
remainingHeadroomRemaining HeadroomRequired. Finite number.
normalizedChangeChange divided by initial ceiling headroom, potentially negative below -1.Required. Finite number.
json
{
  "input": {
    "before": 40,
    "after": 70,
    "suppliedCeiling": 100
  },
  "output": {
    "remainingHeadroom": 60,
    "normalizedChange": 0.5
  }
}

Limitations and assumptions

  • No lower bound is imposed on scores here. Negative change can be below -1; this one-sided ceiling normalization does not validate a scale or estimate causal improvement.
  • 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 an appropriate study design and measurement-error analysis when assessing instructional effectiveness or individual change.

References

  1. Calculation and input contract: educational-psychology/retention-ceiling-normalizer — tool.io

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