Bogardus Social Distance Calculator
Arithmetic mean actual separately coded Bogardus1–7social distance responses, standard ordinal code convention not interval validity or individual group-attitude inference; no questionnaire words or normative interpretation.
Description
Bogardus distance responses use an ordered coding convention.
Bogardus distance responses use an ordered coding convention.1
Averaging their numeric codes does not establish that successive categories are psychologically equal intervals. The calculation and input requirements are explained below.
When to use Bogardus Social Distance Calculator
Enter nonempty independently established integer distance codes from 1 through 7.
How to use Bogardus Social Distance 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 Bogardus Social Distance 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 |
|---|---|---|---|
| actualIndependentlyEstablishedOrderedBogardusDistanceCodes | Actual Independently Established Ordered Bogardus Distance Codes. Use the units and matching context stated in the calculation below. | array of number | Required; other constraints below |
Enter nonempty independently established integer distance codes from 1 through 7. Return their arithmetic mean. The tool neither assigns the ordinal categories nor supplies interval-scale or normative interpretation.
meanCode=sum(codes)/count(codes) 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.observedMeanQualifiedDistanceCode | Observed Mean Qualified Distance Code. Interpret its unit, sign, order or availability flag as explained above. | number |
{
"input": {
"actualIndependentlyEstablishedOrderedBogardusDistanceCodes": [
1,
3,
5
]
},
"output": {
"result": {
"observedMeanQualifiedDistanceCode": 3
}
}
}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 Trust Index Calculator for a complementary operation: A trust index aggregates evidence collected through a defined instrument.
Use Religiosity Index Calculator for a complementary operation: Religiosity indexes depend on named instruments and grouped survey definitions.
References
-
Bogardus Social Distance Calculator — tool.io
Similar or alternative tools
- Trust Index Calculator
A trust index aggregates evidence collected through a defined instrument.
- Religiosity Index Calculator
Religiosity indexes depend on named instruments and grouped survey definitions.