Risk Needs Responsivity Tier Classifier
Bounded RNRprocess evidence record, not assign a risk tier or treatment. Independently witnessed columns in order: independently established assessment instrument/version, independently established needs evidence, responsivity/accommodation evidence, qualified consent/review safeguards. Known missing and unknown evidence stay distinct; not approval, compliance, readiness, authenticity or safety certification.
Description
Risk-needs-responsivity review involves an assessment instrument, needs evidence and accommodation context.
Risk-needs-responsivity review involves an assessment instrument, needs evidence and accommodation context.1
A checklist records review evidence without assigning an individual treatment tier. Use this tool to record known present, known missing and unknown checklist evidence.
When to use Risk Needs Responsivity Tier Classifier
Use this tool to record known present, known missing and unknown checklist evidence. Establish the jurisdiction or research scope, observation and event definitions, reference date, matched period and denominator basis.
How to use Risk Needs Responsivity Tier Classifier and understand its results
- Establish the jurisdiction or research scope, observation and event definitions, reference date, matched period and denominator basis.
- Enter observedCriterionFlags, criterionKnownFlags, using the field meanings and rules below, then run the tool.
- Read result.witnessedCriteria, result.knownMissingCriteria, result.unknownCriteria. Interpret each field using the units, signs and evidence rules below.
- If input validation fails, correct the reported field and run again. Before applying a successful result, check the stated reference scope, units, assumptions and any retained unknown evidence.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| observedCriterionFlags | Observed criterion flags; binary 0/1 in the order documented below | list of number | Required |
| criterionKnownFlags | Criterion known flags; 1 means known and 0 means unknown; keep the same item order | list of number | Required |
Supply exactly 4 binary criterion flags and matched binary known flags in the listed order. Return witnessed labels where both flags are 1, known missing labels where known=1 and observed=0, and unknown labels wherever known=0, regardless of the placeholder observed flag. No overall diagnosis, pass or approval is inferred.
| Zero-based column | Criterion |
|---|---|
| 0 | independently established assessment instrument/version |
| 1 | independently established needs evidence |
| 2 | responsivity/accommodation evidence |
| 3 | qualified consent/review safeguards |
witnessed={label_i:known_i=1 and observed_i=1}; missing={label_i:known_i=1 and observed_i=0}; unknown={label_i:known_i=0} Apply the field units and exact ordering, boundary and evidence rules above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Structured result containing the calculation or selected reference fields below | object |
| result.witnessedCriteria | Criterion labels observed present with known evidence | list of string |
| result.knownMissingCriteria | Criterion labels known to be absent | list of values |
| result.unknownCriteria | Criterion labels whose evidence is unknown | list of values |
{
"input": {
"observedCriterionFlags": [
1,
1,
1,
1
],
"criterionKnownFlags": [
1,
1,
1,
1
]
},
"output": {
"result": {
"witnessedCriteria": [
"independently established assessment instrument/version",
"independently established needs evidence",
"responsivity/accommodation evidence",
"qualified consent/review safeguards"
],
"knownMissingCriteria": [],
"unknownCriteria": []
}
}
}Limitations and assumptions
Feature and criterion flags are independent annotations. Unknown evidence remains unknown; matching rules do not establish a diagnosis, cause, prediction or approval.
Every listed input requires an explicit value. Unexpected fields, incorrect value types, nonfinite numbers and sparse numeric arrays fail validation; tool-specific bounds and alignment rules apply as described above. Extremely large inputs or outputs can also be rejected. An input error is distinct from a successful calculation that reports a false comparison or retains unknown evidence.
Alternative or Complementary methods
Use Dynamic Criminogenic Need Domain Scoring Guide to examine a related aspect: Dynamic criminogenic-need scores depend on a particular rubric and evidence date.
Use Classification Custody Score Points Model Calculator where its separate inputs and scope apply: Custody classification scores depend on a specific assessment instrument and context.
References
-
Risk Needs Responsivity Tier Classifier — tool.io
Similar or alternative tools
- Dynamic Criminogenic Need Domain Scoring Guide
Dynamic criminogenic-need scores depend on a particular rubric and evidence date.
- Classification Custody Score Points Model Calculator
Custody classification scores depend on a specific assessment instrument and context.