Srole Five-Item Anomie Scale Score
Sum exactly five independently verified binary Srole anomie item codes with unit weights under the caller's documented instrument edition/coding. Known sum and full possible lower/upper sums preserve missing item evidence without imputation. No questionnaire wording, reverse-coding interpretation, clinical diagnosis or universal population norm is invented.
Description
The stated Srole instrument totals five independently coded binary items.
The stated Srole instrument totals five independently coded binary items.1
Unknown items preserve a possible total range rather than being scored as observed zeroes.
When to use Srole Five-Item Anomie Scale Score
Use this tool to obtain knownItemSum, minimumPossibleFiveItemSum, maximumPossibleFiveItemSum, unknownItemIndices from the supplied records using the stated calculation. Establish the population, period, variable definitions, sample coverage and independently applicable instrument or calibration.
How to use Srole Five-Item Anomie Scale Score and understand its results
- Establish the population, period, variable definitions, sample coverage and independently applicable instrument or calibration.
- Enter independentlyAnnotatedCriterionScores, callerCalibratedCriterionWeights, criterionKnownFlags, using the field meanings and rules below, then run the tool.
- Read result.knownItemSum, result.minimumPossibleFiveItemSum, result.maximumPossibleFiveItemSum, result.unknownItemIndices. Use the units and sign conventions below, and review any unknown records separately.
- Correct any reported input issue and run again. Before using a successful result, check the stated units, signs, reference scope and observation coverage.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| independentlyAnnotatedCriterionScores | Independently annotated criterion scores | list of number | Required |
| callerCalibratedCriterionWeights | Caller calibrated criterion weights | list of number | Required |
| criterionKnownFlags | Criterion known flags; binary 1 means the matched observation is known, 0 means unknown | list of number | Required |
Supply exactly five binary independently established item codes, five unit weights all exactly one and five binary known flags. Validate every code even when unknown. Sum known codes; minimum possible equals that sum and maximum adds one per unknown item. Return zero-based unknown indices. No questionnaire administration or clinical interpretation is performed.
knownSum=Σ(code_i×known_i); minimum=knownSum; maximum=knownSum+count(unknownItems) Use the matching field units and the exact boundary, ordering and reference rules above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Calculated observation or qualified reference | object |
| result.knownItemSum | Sum of known item codes only; unknown placeholders do not contribute. | number |
| result.minimumPossibleFiveItemSum | Known binary-item sum with every unknown item set to zero. | number |
| result.maximumPossibleFiveItemSum | Known binary-item sum plus one for every unknown item. | number |
| result.unknownItemIndices | Zero-based item positions excluded from the known sum and retained in possible-total bounds. | list |
{
"input": {
"independentlyAnnotatedCriterionScores": [
1,
0,
1,
0,
1
],
"callerCalibratedCriterionWeights": [
1,
1,
1,
1,
1
],
"criterionKnownFlags": [
1,
1,
1,
1,
1
]
},
"output": {
"result": {
"knownItemSum": 3,
"minimumPossibleFiveItemSum": 3,
"maximumPossibleFiveItemSum": 3,
"unknownItemIndices": []
}
}
}Limitations and assumptions
Population definitions, survey design, calibration and observation coverage are independently established. A result describes the supplied record or conditional model without demonstrating causation, validating an instrument or supplying representative population evidence.
Missing required fields, unknown fields, wrong types and violated rules return input issues. Numeric values and outputs must be finite. Lists and matrices must be dense, without missing cells. Numeric lists allow at most 10000 entries, subject to the narrower lengths and code rules above. Extremely large composite outputs are rejected.
Alternative or Complementary methods
For a related step, use Seeman Alienation Score Calculator: Alienation dimensions require an adopted definition and independently coded evidence. For a complementary comparison, use Frame Alignment Resonance Score Calculator: Frame resonance requires declared evidence about a movement's framing and audience context.
References
-
Srole Five-Item Anomie Scale Score — tool.io
Similar or alternative tools
- Seeman Alienation Score Calculator
Alienation dimensions require an adopted definition and independently coded evidence.
- Frame Alignment Resonance Score Calculator
Frame resonance requires declared evidence about a movement's framing and audience context.