Paid vs Unpaid Work Time Split Calculator
Actual disjoint paid/unpaid time-use diary split with matched observation coverage; simultaneous activities must be independently allocated, not gender roles or monetary value inferred.
Description
A time diary can partition observed work into paid and unpaid components.
A time diary can partition observed work into paid and unpaid components.1
Their fractions describe the recorded combined work time rather than every hour of a day.
When to use Paid vs Unpaid Work Time Split Calculator
Use this tool to obtain observedPaidFraction, observedUnpaidFraction 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 Paid vs Unpaid Work Time Split Calculator and understand its results
- Establish the population, period, variable definitions, sample coverage and independently applicable instrument or calibration.
- Enter observedPaidMinutes, observedUnpaidMinutes, using the field meanings and rules below, then run the tool.
- Read result.observedPaidFraction, result.observedUnpaidFraction. 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 |
|---|---|---|---|
| observedPaidMinutes | Observed paid minutes | list of number | Required |
| observedUnpaidMinutes | Observed unpaid minutes | list of number | Required |
Supply nonempty aligned nonnegative paid and unpaid minutes. Sum each and require positive combined observed time. Return each total divided by the combined total as fractions, not percentages. No one-day ceiling, overlap detection or classification is added.
paidFraction=Σpaid/(Σpaid+Σunpaid); unpaidFraction=Σunpaid/(Σpaid+Σunpaid) 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.observedPaidFraction | Total paid minutes divided by total recorded paid-plus-unpaid minutes. | number |
| result.observedUnpaidFraction | Total unpaid minutes divided by total recorded paid-plus-unpaid minutes. | number |
{
"input": {
"observedPaidMinutes": [
60,
120
],
"observedUnpaidMinutes": [
120,
60
]
},
"output": {
"result": {
"observedPaidFraction": 0.5,
"observedUnpaidFraction": 0.5
}
}
}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. Lists and matrices must be dense, without missing cells. Numeric lists allow at most 10000 entries, subject to the narrower lengths and code rules above. Extremely large composite outputs are rejected.
Alternative or Complementary methods
For a related step, use Self-Reported Daily Social-Media Hours Calculator: Self-reported daily social-media minutes can be summarized as a mean number of hours per recorded day. For a complementary comparison, use Average Weekly Screen-Time Hours Calculator: Weekly screen-time records can be converted from minutes to mean hours per observed week.
References
Similar or alternative tools
- Self-Reported Daily Social-Media Hours Calculator
Self-reported daily social-media minutes can be summarized as a mean number of hours per recorded day.
- Average Weekly Screen-Time Hours Calculator
Weekly screen-time records can be converted from minutes to mean hours per observed week.