Sociometric Status Z From Nominations Calculator
Actual sociometricnominationzversus independently appropriate group norm, nominations not identity worthiness or universally validated status. Actual independently qualified instrument/cohort/matching units; no diagnosis, causal outcome, validated personal prediction or universal clinical cutoff.
Description
A sociometric nomination z-score compares a count with a matched reference mean and standard deviation.
A sociometric nomination z-score compares a count with a matched reference mean and standard deviation.1
It does not assign personal worth or infer a universal social status. The calculation and input requirements are explained below.
When to use Sociometric Status Z From Nominations Calculator
Enter integer nomination count 0–1000000, finite matched mean and positive matched SD.
How to use Sociometric Status Z From Nominations Calculator and how it works
- Prepare the measurements or independently established model inputs described below, with matching units and observation scope.
- Enter the required fields and run Sociometric Status Z From Nominations Calculator.
- Read the result fields using the formula, output units, signs and ordering explained below.
- Correct any rejected inputs and rerun; interpret the result within the stated model and its assumptions.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| actualNominationCount | Actual Nomination Count. Use the units and matching context stated in the calculation below. | number | Required; integer 0–1000000; finite; other constraints below |
| callerMatchedNominationMean | Caller Matched Nomination Mean. Use the units and matching context stated in the calculation below. | number | Required; finite; other constraints below |
| callerMatchedNominationSd | Caller Matched Nomination Sd. Use the units and matching context stated in the calculation below. | number | Required; strictly positive; finite; other constraints below |
Enter integer nomination count 0–1000000, finite matched mean and positive matched SD. Subtract the mean and divide by SD to return z. No reference distribution is selected.
z=(nominationCount-referenceMean)/referenceSD Apply the input ordering, units and branch conditions stated above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Object containing the calculated or selected fields below. | object |
| result.value | Numeric result under the formula and output units explained above. | number |
{
"input": {
"actualNominationCount": 5,
"callerMatchedNominationMean": 3,
"callerMatchedNominationSd": 1
},
"output": {
"result": {
"value": 2
}
}
}Limitations and assumptions
The calculation uses the supplied observations and model inputs. It does not collect measurements, select a reference population or coefficient, or establish that the model applies to the actual case. The stated branch conditions and output units remain part of the result.
All fields require explicit values. Unexpected fields, wrong types, nonfinite numbers and sparse arrays are rejected. Alignment, bounds and supported-token rules are explained above; extremely large inputs or nonfinite results can also fail. Input errors differ from successful false comparisons, unavailable-domain flags and empty match lists.
Alternative or Complementary methods
Use Brogden-Cronbach-Gleser Utility Gain Calculator for a complementary operation: A BCG utility model combines selection size, tenure, performance variation and predictive parameters.
Use Item Discrimination Index Calculator for a complementary operation: An item discrimination index compares correct-response fractions in two independently defined groups.
References
Similar or alternative tools
- Brogden-Cronbach-Gleser Utility Gain Calculator
A BCG utility model combines selection size, tenure, performance variation and predictive parameters.
- Item Discrimination Index Calculator
An item discrimination index compares correct-response fractions in two independently defined groups.