Cohens H Standardized Effect
Use this cohens h standardized effect tool when you have measured values for p1, p2. It applies a transparent mathematical relationship to those values to return an answer in units. Unlike a prediction or recommendation, this is a calculation from your inputs. Both proportions must be between zero and one. Enter a different scenario to see how this particular quantity changes; check the assumptions before using it in a project.
How to use this calculator
- Use exact measurements and consistent units for p1, p2.
- Enter each quantity; blank, nonnumeric and out-of-range inputs are not accepted.
- Compare the reported units quantity against your own data and the limitations below.
Formula for Cohens H Standardized Effect
units = 2*asin(sqrt(p1))-2*asin(sqrt(p2)). Inputs are expressed in the units shown by the labels.
- This uses a direct stats relationship and does not retrieve remote data, forecasts or individual account information.
- Both proportions must be between zero and one.
Worked examples
Worked example — Cohens H Standardized Effect
Enter P1 = 0.34, P2 = 0.21.
Apply 2*asin(sqrt(p1))-2*asin(sqrt(p2)).
Calculated value: approximately 0.2929992 units.
Understanding the result
The example produces about 0.2929992 units; this is a mathematical output for the example inputs, not an observed result for your project.
Both proportions must be between zero and one.
Important notes
Both proportions must be between zero and one.
Use values from the same measurement period or physical system. The result is in units and is not a guarantee of capacity, safety, ranking or revenue.
Frequently asked questions
What does Cohens H Standardized Effect calculate?
It converts p1, p2 into a quantity measured in units using the stated formula.
Which assumption matters most?
Both proportions must be between zero and one.
How can I check this output?
Recalculate the worked example from the input quantities, confirm units and compare with direct measurements where available. This calculator does not fetch live data.
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This page provides a calculation tool plus explanatory information so you can understand what the result means and when the underlying method may not fit your situation.