Hofstede Cultural Distance Calculator
Declared Kogut–Sing hag greg ate cultural distance mean squared score contrast/independent reference variance, matched country/instrument edition. Not universalHofstedeindexor individual cultural identity.
Description
Kogut–Singh distance compares aggregate dimension scores relative to reference variances.
Kogut–Singh distance compares aggregate dimension scores relative to reference variances.1
Matching country data and instrument editions is necessary for the declared metric. The calculation and input requirements are explained below.
When to use Hofstede Cultural Distance Calculator
Enter nonempty aligned aggregate dimension-score lists and positive matched reference variances.
How to use Hofstede Cultural 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 Hofstede Cultural 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 |
|---|---|---|---|
| actualFirstAggregateDimensionScores | Actual First Aggregate Dimension Scores. Use the units and matching context stated in the calculation below. | array of number | Required; other constraints below |
| actualSecondAggregateDimensionScores | Actual Second Aggregate Dimension Scores. Use the units and matching context stated in the calculation below. | array of number | Required; other constraints below |
| callerApplicableDimensionVariances | Caller Applicable Dimension Variances. Use the units and matching context stated in the calculation below. | array of number | Required; other constraints below |
Enter nonempty aligned aggregate dimension-score lists and positive matched reference variances. Divide each squared score difference by its variance and average across dimensions. The output is the declared aggregate metric, not an individual cultural classification.
distance=mean((firstScore-secondScore)^2/referenceVariance) 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": {
"actualFirstAggregateDimensionScores": [
1,
2
],
"actualSecondAggregateDimensionScores": [
0,
1
],
"callerApplicableDimensionVariances": [
1,
1
]
},
"output": {
"result": {
"value": 1
}
}
}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 Religious Fractionalization Index Calculator for a complementary operation: Religious fractionalization uses shares of mutually exclusive aggregate categories.
Use Linguistic Fractionalization Index Calculator for a complementary operation: Linguistic fractionalization describes an aggregate partition of language categories.
References
-
Hofstede Cultural Distance Calculator — tool.io
Similar or alternative tools
- Religious Fractionalization Index Calculator
Religious fractionalization uses shares of mutually exclusive aggregate categories.
- Linguistic Fractionalization Index Calculator
Linguistic fractionalization describes an aggregate partition of language categories.