Fondness and Admiration Scale Calculator
Qualified caller-instrument item aggregation for Fondness and Admiration Scale Calculator. Actual independently verified Fondness and Admiration Scale Calculator instrument edition, item identities/ranges, reverse keys, weights, subscale and qualified administration; examples are illustrative custom item codes, not the published instrument key. Exact reverse scoring min+max−score and independent weights; unknown item bounds retained. No embedded proprietary instrument, automatic norm/diagnosis, asset protection probability, partner evaluation, clinical cutoff or validated prediction. Library verifies only supplied structure/arithmetic, not authenticity of caller keys.
Description
Fondness and admiration measures depend on an applicable item rubric.
Fondness and admiration measures depend on an applicable item rubric.1
A supplied total does not independently verify feelings or establish an outcome forecast.
When to use Fondness and Admiration Scale Calculator
Use this tool to calculate or review the supplied observations under the stated rules. Establish the planning or observation scope, units, item definitions and applicable caller reference, quotation or instrument key.
How to use Fondness and Admiration Scale Calculator and understand its results
- Establish the planning or observation scope, units, item definitions and applicable caller reference, quotation or instrument key.
- Enter callerVerifiedSource, callerVerifiedContext, callerVerifiedAsOfDate, actualInstrumentItemIds, actualIndependentlyEstablishedItemScores, callerVerifiedItemMinima, callerVerifiedItemMaxima, callerVerifiedReverseKeyFlags, callerVerifiedItemWeights, itemEvidenceKnownFlags, using the field meanings and rules below, then run the tool.
- Read result.knownWeightedItemSum, result.minimumPossibleWeightedTotal, result.maximumPossibleWeightedTotal, result.unknownItemIds. Use the units and sign conventions below. Review unresolved records and any possible bounds separately from known results.
- 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 |
|---|---|---|---|
| callerVerifiedSource | Caller verified source; supplied assertion, not independently verified; output retention depends on the rules below | string | Required |
| callerVerifiedContext | Caller verified context; supplied assertion, not independently verified; output retention depends on the rules below | string | Required |
| callerVerifiedAsOfDate | Caller verified as of date; real Gregorian YYYY-MM-DD date for the supplied record | string | Required |
| actualInstrumentItemIds | Actual instrument item ids | list of string | Required |
| actualIndependentlyEstablishedItemScores | Actual independently established item scores | list of number | Required |
| callerVerifiedItemMinima | Caller verified item minima | list of number | Required |
| callerVerifiedItemMaxima | Caller verified item maxima | list of number | Required |
| callerVerifiedReverseKeyFlags | Caller verified reverse key flags | list of number | Required |
| callerVerifiedItemWeights | Caller verified item weights | list of number | Required |
| itemEvidenceKnownFlags | Item evidence known flags; binary 1 means the matched observation is known, 0 means unknown | list of number | Required |
Supply nonblank source/context strings of at most 1024 UTF-16 units and a real Gregorian as-of date. Supply nonempty unique nonblank item IDs and aligned finite scores, minima, maxima, weights, reverse flags and known flags. Flags must be 0 or 1; weights are nonnegative with positive total. Every minimum must be less than its maximum, and every score, including an unknown-item placeholder, must lie within its own bounds. Known reverse-keyed scores become minimum+maximum−score. Sum weighted known scores; add each unknown item's weighted minimum or maximum to obtain possible total bounds. Unknown IDs remain separate. Fractional and signed scores are permitted within the supplied bounds; there is no fixed item count, automatic subscale scoring, averaging or diagnostic interpretation. Source fields are checked but are not included in this tool's output.
keyed_i=reverse_i ? min_i+max_i−score_i : score_i; knownSum=Σ(weight_i×known_i×keyed_i); possibleMin=knownSum+Σ_unknown(weight_i×min_i); possibleMax=knownSum+Σ_unknown(weight_i×max_i) Use the matching field units and the exact boundary, ordering and reference rules above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Structured result; its nested fields below contain the actual calculation or selected reference | object |
| result.knownWeightedItemSum | Sum of weighted known item scores after the caller's reverse key is applied; not an average | number |
| result.minimumPossibleWeightedTotal | Known weighted sum plus weighted minima of unknown items | number |
| result.maximumPossibleWeightedTotal | Known weighted sum plus weighted maxima of unknown items | number |
| result.unknownItemIds | Exact item IDs with known flag 0, retained in input order | list |
{
"input": {
"callerVerifiedSource": "independently-reviewed-instrument/edition",
"callerVerifiedContext": "Actual independently verified Fondness and Admiration Scale Calculator instrument edition, item identities/ranges, reverse keys, weights, subscale and qualified administration; examples are illustrative custom item codes, not the published instrument key",
"callerVerifiedAsOfDate": "2026-01-01",
"actualInstrumentItemIds": [
"item-a",
"item-b"
],
"actualIndependentlyEstablishedItemScores": [
1,
3
],
"callerVerifiedItemMinima": [
0,
0
],
"callerVerifiedItemMaxima": [
4,
4
],
"callerVerifiedReverseKeyFlags": [
0,
1
],
"callerVerifiedItemWeights": [
1,
1
],
"itemEvidenceKnownFlags": [
1,
1
]
},
"output": {
"result": {
"knownWeightedItemSum": 2,
"minimumPossibleWeightedTotal": 2,
"maximumPossibleWeightedTotal": 2,
"unknownItemIds": []
}
}
}Limitations and assumptions
The result describes the supplied planning records, observations or item rubric. It does not retrieve current quotations, validate a relationship instrument, infer personal feelings or predict relationship outcomes.
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; ordinary string lists allow at most 128 strings of 128 UTF-16 units each; numeric matrices allow at most 128 rows and 128 columns, subject to narrower requirements above. Extremely large composite outputs are rejected.
Alternative or Complementary methods
For a related step, use Love Map Score Calculator: A love-map score depends on an adopted measure of knowledge about a partner. For a complementary comparison, use Gottman Love Lab Observation Score Calculator: Love-lab observation scoring requires an adopted coding protocol and independently assessed items.
References
-
Fondness and Admiration Scale Calculator — tool.io
Similar or alternative tools
- Love Map Score Calculator
A love-map score depends on an adopted measure of knowledge about a partner.
- Gottman Love Lab Observation Score Calculator
Love-lab observation scoring requires an adopted coding protocol and independently assessed items.