Description
Label a supplied percentile with its reference population and assessment version.
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 supplied percentile with its reference population and assessment version.
When to use this tool
Use Achievement Percentile Source Label when you already have percentile, referencePopulation, assessmentVersion and need to label a supplied percentile with its reference population and assessment version.
How to use the tool and how it works
- Enter percentile, referencePopulation, assessmentVersion. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read label. Use the output convention below.
Require percentile in [0,100] and both source strings nonempty; format the percentile and bracketed references.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| percentile | Supplied number 0..100, not an estimated quantile or a probability fraction. | Required. Finite number; minimum 0; maximum 100. |
| referencePopulation | Reference Population | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192. |
| assessmentVersion | Assessment Version | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| label | Label | Required. Text; maximum UTF-16 length 8192. |
{
"input": {
"percentile": 75,
"referencePopulation": "reference cohort 2020",
"assessmentVersion": "v2"
},
"output": {
"label": "percentile 75 [reference cohort 2020; v2]"
}
}Limitations and assumptions
- Fractional percentiles are accepted. No percentile, distribution, norm validity or learner standing is calculated.
- 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 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
Similar or alternative tools
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