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Confidence Rating Abstention Code Tool

Distinguish explicit confidence-rating abstention from missing or inapplicable responses without interpreting a scale.

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Description

Label a confidence record's rating or abstention status.

Assessment records distinguish presented items, responses, deliberate skips, missingness, accommodations, versions and reference populations. A score contribution depends on its chosen denominator and weight, while one confidence gap is not a full calibration study. Recorded observations and timing differences do not establish learner ability or an appropriate intervention.

Label a confidence record's rating or abstention status.

When to use this tool

Use Confidence Rating Abstention Code when you already have responseId, status and need to label a confidence record's rating or abstention status.

How to use the tool and how it works

  1. Enter responseId, status. 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 label. Use the output convention below.

Require responseId nonempty and status rated/abstained/missing/not-applicable; append the status.1

Input fieldMeaning and unitsAccepted input
responseIdResponse IdRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192.
statusStatusRequired. Text; one of "rated", "abstained", "missing", "not-applicable"; maximum UTF-16 length 8192.
Output fieldInterpretationReturned shape
labelLabelRequired. Text; maximum UTF-16 length 8192.
json
{
  "input": {
    "responseId": "R17",
    "status": "abstained"
  },
  "output": {
    "label": "R17 [abstained]"
  }
}

Limitations and assumptions

  • No rating is parsed or imputed. Abstention, missingness and inapplicability remain distinct supplied records.
  • 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.

Alternative or Complementary methods

Use the full assessment manual, item records, population reference and research design for score interpretation. Review missingness, exposure, accommodations and comparability; local labels or contributions do not replace psychometric analysis or an appropriate educational assessment.

References

  1. Calculation and input contract: educational-psychology/confidence-rating-abstention-code — tool.io

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