Education Index Calculator
Conditional arithmetic education-index component from independently normalized mean/expected schooling indices under caller verified edition goalposts. No built-in UNDPgoalposts or attainment data.
Description
An education index can average independently normalized mean and expected schooling indices.
An education index can average independently normalized mean and expected schooling indices.1
Those component definitions and goalposts must be established before aggregation.
When to use Education Index Calculator
Use this tool to obtain conditionalEducationIndex 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 Education Index Calculator and understand its results
- Establish the population, period, variable definitions, sample coverage and independently applicable instrument or calibration.
- Enter callerNormalizedMeanSchoolingIndex, callerNormalizedExpectedSchoolingIndex, using the field meanings and rules below, then run the tool.
- Read result.conditionalEducationIndex. 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 |
|---|---|---|---|
| callerNormalizedMeanSchoolingIndex | Caller normalized mean schooling index | number | Required |
| callerNormalizedExpectedSchoolingIndex | Caller normalized expected schooling index | number | Required |
Require two independently normalized schooling indices in [0,1]. Return their arithmetic mean without selecting goalposts or normalizing raw years.
educationIndex=(meanSchoolingIndex+expectedSchoolingIndex)/2 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.conditionalEducationIndex | Arithmetic mean of supplied normalized mean and expected schooling indices. | number |
{
"input": {
"callerNormalizedMeanSchoolingIndex": 0.6,
"callerNormalizedExpectedSchoolingIndex": 0.8
},
"output": {
"result": {
"conditionalEducationIndex": 0.7
}
}
}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. Extremely large composite outputs are rejected.
Alternative or Complementary methods
For a related step, use Income Index Calculator: A normalized income index uses logarithmic position between adopted GNI goalposts. For a complementary comparison, use Human Development Index Calculator: The Human Development Index aggregates normalized health, education and income dimensions geometrically.
References
-
Education Index Calculator — tool.io
Similar or alternative tools
- Income Index Calculator
A normalized income index uses logarithmic position between adopted GNI goalposts.
- Human Development Index Calculator
The Human Development Index aggregates normalized health, education and income dimensions geometrically.