Intra Inter Rater Reliability Icc Type Selection Lookup
Bounded offline reference: ICCselection requires stating fixed/random raters, single/average measurements, and consistency versus absolute agreement. Source: Shrout and Fleiss 1979; McGraw and Wong 1996. Different ICCforms answer different questions; a high correlation alone is not agreement. Explicit topic keys: summary, reference, limitations. Not a full/current corpus, diagnosis, treatment recommendation or safety certification.
Description
ICC forms distinguish rater models, measurement averaging and agreement objectives.
ICC forms distinguish rater models, measurement averaging and agreement objectives.1
Different forms answer different reliability questions. Use this tool to select a short stored reference note.
When to use Intra Inter Rater Reliability Icc Type Selection Lookup
Use this tool to select a short stored reference note. Establish the measurement protocol, instrument or reference edition, matching units and observation context.
How to use Intra Inter Rater Reliability Icc Type Selection Lookup and understand its results
- Establish the measurement protocol, instrument or reference edition, matching units and observation context.
- Enter topic, using the field meanings and rules below, then run the tool.
- Read result.text. 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 |
|---|---|---|---|
| topic | Topic | string | Required |
Choose one of the exact, case-sensitive topic tokens listed below and run the tool. The implementation selects the corresponding stored text from a fixed object and returns it as result.text. Unknown tokens fail rather than fall back. The strings are shipped with the committed implementation: no search, generated forecast, external-corpus retrieval or live update occurs. The table preserves the actual stored wording.
| Exact topic token | Actual stored response |
|---|---|
| summary | ICCselection requires stating fixed/random raters, single/average measurements, and consistency versus absolute agreement. |
| reference | Shrout and Fleiss 1979; McGraw and Wong 1996. |
| limitations | Different ICCforms answer different questions; a high correlation alone is not agreement. |
result.text=storedTopics[exact topic token] 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.text | Stored reference text selected by the exact topic token | string |
{
"input": {
"topic": "summary"
},
"output": {
"result": {
"text": "ICCselection requires stating fixed/random raters, single/average measurements, and consistency versus absolute agreement."
}
}
}Limitations and assumptions
Coverage is limited to the topic table above. Stored wording may be abbreviated and does not provide a complete external corpus, report, benchmark inventory or updated forecast.
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 Mcid Anchor Based Clinically Important Lookup to examine a related aspect: Anchor-based MCID relates measured change to an interpretable external anchor.
Use Markerless Pose Estimation Validation Accuracy Note Lookup where its separate inputs and scope apply: Markerless pose estimates require validation against an appropriate reference for the actual system and task.
References
Similar or alternative tools
- Mcid Anchor Based Clinically Important Lookup
Anchor-based MCID relates measured change to an interpretable external anchor.
- Markerless Pose Estimation Validation Accuracy Note Lookup
Markerless pose estimates require validation against an appropriate reference for the actual system and task.