Four Horsemen Score Calculator

Annotated FourHorsemenobservation evidence only, not diagnosis, weighted universal risk score or adverse-outcome prediction. Actual independently witnessed criterion columns: independently coded criticism occurrence, independently coded contempt occurrence, independently coded defensiveness occurrence, independently coded stonewalling occurrence. Unknowns retained; not readiness, authenticity, legality, diagnosis or safety certification.

Description

The four-horsemen framework names criticism, contempt, defensiveness and stonewalling patterns.

The four-horsemen framework names criticism, contempt, defensiveness and stonewalling patterns.^[1]

A checklist records independently coded occurrences without predicting separation.

When to use Four Horsemen Score 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 Four Horsemen Score Calculator and understand its results

Establish the planning or observation scope, units, item definitions and applicable caller reference, quotation or instrument key.
Enter independentlyWitnessedCriterionFlags, criterionEvidenceKnownFlags, using the field meanings and rules below, then run the tool.
Read result.witnessedCriteria, result.knownMissingCriteria, result.unknownCriteria. 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
independentlyWitnessedCriterionFlags	Independently witnessed criterion flags	list of number	Required
criterionEvidenceKnownFlags	Criterion evidence known flags; binary 1 means the matched observation is known, 0 means unknown	list of number	Required

Enter exactly 4 independently annotated criterion flags and matched known flags in the listed order. Both lists must contain only 0 or 1. A known criterion is recorded as witnessed when its flag is 1 and missing when its flag is 0. An unknown criterion remains unknown irrespective of its placeholder flag. Return the three label lists and witnessed count; this is an evidence inventory without an overall pass, diagnosis or approval decision.

Zero-based column	Criterion
0	independently coded criticism occurrence
1	independently coded contempt occurrence
2	independently coded defensiveness occurrence
3	independently coded stonewalling occurrence

witnessed={label_i:known_i=1 and flag_i=1}; missing={label_i:known_i=1 and flag_i=0}; unknown={label_i:known_i=0}

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.witnessedCriteria	Criterion labels with known flag 1 and observed flag 1	list
result.knownMissingCriteria	Criterion labels with known flag 1 and observed flag 0	list
result.unknownCriteria	Criterion labels with known flag 0; their observed placeholder flag does not resolve the evidence	list

json

{
  "input": {
    "independentlyWitnessedCriterionFlags": [
      1,
      1,
      1,
      1
    ],
    "criterionEvidenceKnownFlags": [
      1,
      1,
      1,
      1
    ]
  },
  "output": {
    "result": {
      "witnessedCriteria": [
        "independently coded criticism occurrence",
        "independently coded contempt occurrence",
        "independently coded defensiveness occurrence",
        "independently coded stonewalling occurrence"
      ],
      "knownMissingCriteria": [],
      "unknownCriteria": []
    }
  }
}

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 Gottman Love Lab Observation Score Calculator: Love-lab observation scoring requires an adopted coding protocol and independently assessed items. For a complementary comparison, use Gottman Ratio Calculator: A positive-to-negative conflict interaction ratio describes independently coded observations.

References

Four Horsemen Score Calculator — tool.io

Similar or alternative tools

Gottman Love Lab Observation Score Calculator
Love-lab observation scoring requires an adopted coding protocol and independently assessed items.
Gottman Ratio Calculator
A positive-to-negative conflict interaction ratio describes independently coded observations.