Description
Namespace explicit research school-cluster and participant codes.
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.
Namespace explicit research school-cluster and participant codes.
When to use this tool
Use School Cluster Research ID when you already have studyNamespace, schoolCode, participantCode and need to namespace explicit research school-cluster and participant codes.
How to use the tool and how it works
- Enter studyNamespace, schoolCode, participantCode. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read idToken. Use the output convention below.
Enter studyNamespace, schoolCode, participantCode using the field constraints below. Encode these values, in exactly that order, as a JSON array and return the serialized array as text in idToken. String values are preserved without trimming or external terminology lookup.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| studyNamespace | Study Namespace | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192. |
| schoolCode | School Code | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192. |
| participantCode | Participant Code | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| idToken | Id Token | Required. Text; maximum UTF-16 length 8192. |
{
"input": {
"studyNamespace": "ST17",
"schoolCode": "SC3",
"participantCode": "P2"
},
"output": {
"idToken": "[\"ST17\",\"SC3\",\"P2\"]"
}
}Limitations and assumptions
- The result records supplied values without resolving a child’s identity. Sources and asserted relationships are not independently authenticated.
- 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
Similar or alternative tools
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