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Longitudinal Visit Practice Count

Count explicitly recorded prior testing and practice exposures while keeping visit ordinal distinct from practice exposure.

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Description

Calculate prior exposure count and the current visit's one-based ordinal.

Developmental research records separate actual observations, coder presence, task versions, response states, caregiver reports and exposure counts. Calendar age differs from developmental status, while a symbol match or parent-teacher rating gap is only a recorded comparison. Pseudonyms and supplied source labels do not themselves protect identity or validate evidence.

Calculate prior exposure count and the current visit's one-based ordinal.

When to use this tool

Use Longitudinal Visit Practice Count when you already have priorCompletedVisits, priorPracticeSessions and need to calculate prior exposure count and the current visit's one-based ordinal.

How to use the tool and how it works

  1. Enter priorCompletedVisits, priorPracticeSessions. 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 totalPriorExposures, currentVisitOrdinal. Use the output convention below.

Require priorCompletedVisits a safe integer in [0,MAX_SAFE_INTEGER-1] and priorPracticeSessions a nonnegative safe integer; return their sum and priorVisits+1.1

Input fieldMeaning and unitsAccepted input
priorCompletedVisitsPrior Completed VisitsRequired. Safe integer; minimum 0.
priorPracticeSessionsPrior Practice SessionsRequired. Safe integer; minimum 0.
Output fieldInterpretationReturned shape
totalPriorExposuresTotal Prior ExposuresRequired. Safe integer.
currentVisitOrdinalpriorCompletedVisits+1, while totalPriorExposures also includes supplied practice sessions.Required. Safe integer.
json
{
  "input": {
    "priorCompletedVisits": 3,
    "priorPracticeSessions": 2
  },
  "output": {
    "totalPriorExposures": 5,
    "currentVisitOrdinal": 4
  }
}

Limitations and assumptions

  • Unsafe output sums are rejected. Counts are recorded opportunities, not verified exposure, learning, habituation or developmental status.
  • 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 the complete study or assessment method, observation records and context for developmental interpretation. Review task adaptations, reporter perspectives and data protection together; local counts, time gaps and status labels do not establish ability, diagnosis or suitable support.

References

  1. Calculation and input contract: developmental-psychology/longitudinal-visit-practice-count — tool.io

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