Verbal Fluency Switching Index Calculator
Actual qualified adjacent verbal fluency cluster label switches, not automatic semantic cluster assignment, norm or inclusion of invalid responses.
Description
Verbal-fluency switching describes transitions between assigned response clusters.
Verbal-fluency switching describes transitions between assigned response clusters.1
Cluster assignment and response eligibility must be completed before adjacent labels are compared. The calculation and input requirements are explained below.
When to use Verbal Fluency Switching Index Calculator
Enter nonempty nonblank eligible cluster labels in response order.
How to use Verbal Fluency Switching Index 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 Verbal Fluency Switching Index 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 |
|---|---|---|---|
| actualIndependentlyAssignedResponseClusterLabels | Actual Independently Assigned Response Cluster Labels. Use the units and matching context stated in the calculation below. | array of string | Required; other constraints below |
Enter nonempty nonblank eligible cluster labels in response order. Count adjacent pairs whose exact strings differ. One response gives zero switches; no semantic clustering, normalization or response eligibility judgment occurs.
switchCount=count(label_i!=label_(i-1),i>0) 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.observedAdjacentClusterSwitchCount | Observed Adjacent Cluster Switch Count. Interpret its unit, sign, order or availability flag as explained above. | number |
{
"input": {
"actualIndependentlyAssignedResponseClusterLabels": [
"a",
"a",
"b",
"a"
]
},
"output": {
"result": {
"observedAdjacentClusterSwitchCount": 2
}
}
}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 WCST Categories Completed Counter for a complementary operation: Completed WCST categories are counts of independently qualified category completions.
Use Trail Making B-A Difference Calculator for a complementary operation: Trail Making B-minus-A subtracts two eligible elapsed times.
References
Similar or alternative tools
- WCST Categories Completed Counter
Completed WCST categories are counts of independently qualified category completions.
- Trail Making B-A Difference Calculator
Trail Making B-minus-A subtracts two eligible elapsed times.